27-28 May 2025 | Congress Center Basel
27-28. Mai 2025 | Kongresszentrum Basel
Conference
Konferenz
Basel, 27 - 28 May 2025
Schedule
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Opening remarks
Keynote Panel: Transforming research: Can we make open science a reality?
- What are the barriers to sharing open science, how is your company overcoming this?
- How is your company promoting collaboration across departments, sites and between different companies?
- Exploring the role of open innovation in the adoption and success of AI
- How can openness improve business and customer experience?
Keynote Panel: Investing in the lab of the future–where is innovation going?
- What are the upcoming trends and how will this change the lab?
- What do investors think will change the way labs work in the next 12 months and beyond?
- What are some of the areas you are currently investing and what impact does this have?
- How can we approach investors with our innovation?
Break
Visit our start-ups on the expo floor
Chair
Chair
Chair
Chair
Creating the proper data infrastructure for AI-driven R&D
Leveraging AI has become a powerful catalyst to spur innovation and R&D efficiency. What is the process behind unifying data and which benefits and pitfalls should we be aware of? This talk maps out a strategic roadmap for organizations to fully optimize their R&D outcomes.By understanding and establishing the proper foundation of data, R&D organizations will be well equipped and confident that the data they collect today, continues to add value to the data and experiments they run in the future.
Adventures in automation: Modernising & digitalising speciality chemical research & development
This presentation takes you on the journey of introducing laboratory automation and high throughput experimentation (HTE) into research and development in the specialty chemical industry. It addresses key industry challenges including budget constraints, cultural resistance, talent acquisition and adapting to a changing landscape. The author draws upon his 20 years’ experience in, and passion for, laboratory automation and describes successes, failures and lessons learned through the medium of relevant case studies and personal anecdotes.
CIME4R: An open-source application facilitating human-AI collaboration for reaction optimization
With the growing role of AI in the domain of chemistry, understanding predictions by AI is critical to build trust and enhance human-machine collaboration. With CIME4R, we present an open-source web application designed to facilitate the interaction with complex datasets generated typically encountered in reaction optimization campaigns supported by machine-learning algorithms.
CIME4R aids users by making the parameter space of reactions easier to grasp while elucidating AI model predictions through explainable AI techniques. Developed in collaboration with domain experts, CIME4R allowed users to obtain valuable insights from previous experiments and enhance their decision-making process to derive future experiments.
Unlocking scientific value: From data capture to AI-powered insights
When we talk about scientific data transformation, we often focus on the end goal of AI-driven discovery. However, the true transformation begins with effectively capturing and harmonizing the diverse data generated in everyday laboratory workflows. Micael Nicollier's talk explores how replatforming scientific data creates countless new pathways to automated workflows and powerful AI-driven insights. Discover how organizations are industrializing their scientific data production to build transformative applications across the biopharma value chain.
- Learn how a next-gen SDMSbuilds the basis to automate lab workflows and eliminate manual data transfers
- Discover how capturing diverse data types creates a stronger foundation for advanced scientific workflows
- Understand how the seamless integration with modern data lakes and AI platforms enables impactful data reuse for analytics and AI
Towards the digital and automated lab: transformation to guided workflows and autonomous concepts
In the rapidly evolving landscape of scientific research, the integration of digital and automated technologies is revolutionizing laboratory operations. This presentation explores the transformative impact of lab automation up to the deploymentof collaborative robots (cobots). By implementing guided workflows and advanced sample tracking systems, laboratories can achieve unprecedented levels of innovation, efficiency, and productivity. Attendees will gain insights into how these cutting-edge technologiesstreamline processes, reduce human error, and enhance overall research outcomes, paving the way for the future of autonomous laboratory environments.
Working on the move-Advance Mobile Labs
'AI enabled everything' – what does it mean? A practical approach for lab operations
In the face of a rapidly expanding selection of 'AI enabled' tools for Lab Operations, are we missing the point? In this presentation we will discuss what 'AI enabled' means for Lab Operations, and reflect on some practical (and not so practical!) examples of approaches seen to date.
AI/NLP for lab automation for maximised quality & knowledge flow impact in dynamic organizations
Robotics & labs: evolutive, 24/7 operational–far beyond sample management
Automating an R&D or QC Lab implies far more aspects and issues than just moving Samples around. Analyzing Lab Workflows from an Operator point of view demonstrates that many tasks for micro-logistics, micro-manipulation, preparation and interaction with Lab Instrument are regularly far more time consuming and human error prone than Sample Management itself.Instead of automating each single Lab task on its own, the Lab operational tasks shall be automated using an integrated, digitized mix of Mission-Optimized, yet Reconfigurable Robotic Cells and Mobile Manipulators, thus instantly increasing the Lab throughput, quality and traceability.
Shaping the future of lab software
The demand for connected software leveraging the latest technology in science is greater than ever. Imagine laboratory software providing a secure environment for data with capabilities similar to office applications, including real-time collaboration and web-based access. Innovative solutions harmonize processes and accelerate data insights, enhancing current lab operations and shaping the future of scientific research.
Effective strategies to address digital challenges in early clinical development
Pharmaceutical Sciences at AstraZeneca has the mission to rapidly take innovative synthetic molecules from late-stage discovery into early clinical trials. The organisation must bridge data silos and IT systems between early discovery and late-stage development organisations. We will share how new custom IT solutions support our scientists generating FAIR data in this challenging space. We will also show how we are building seamless data connectivities across the organisation to accelerate project delivery.
Developing a roadmap for R&D digitalisation and AI optimisation
Henkel's Consumer Brands division is undergoing a significant transformation in R&D digitalization, leveraging AI and automation to drive innovation and operational efficiency.
By partnering with leading technology providers, Henkel is developing a robust R&D platform that streamlines business processes, fosters global data sharing, and leverages AI for breakthrough product development. This presentation will delve into the challenges, successes, and future directions of Henkel's R&D digitalization, highlighting AI's role in driving innovation and operational excellence.
Lessons from outside of the lab: Digital twins in factory optimisation
Digital twins are transforming manufacturing by creating real-time, data-driven models of production processes, enabling predictive analytics, efficiency improvements, and automation. This session will explore how the methodologies and technologies used in smart factories can be leveraged in lab environments to enhance operations, optimize workflows, and improve decision-making. Using real-world use cases, including supply chain risk prediction and AI-driven optimization, we will demonstrate how digital twins integrate IoT, AI, and knowledge graphs to create actionable insights. Attendees will gain a deeper understanding of how to apply these technologies to build the lab of the future.
Accelerating drug discovery: Enhancing data collaboration and AI deep learning insights with CDD vault
In today's data-driven drug discovery landscape,AI and deep learningare transforming how researchers manage, analyze, and interpret complex biological and chemical data.CDD Vault provides an integrated, secure platform for storing and analyzing data, empowering teams in drug discovery, cheminformatics, and computational chemistry.This talk will explore how CDD Vaultenhances data workflowsthrough intuitive visualization, advanced analytics, and AI-driven deep learning models for molecular property predictions, structure-activity relationships, and pattern recognition in large datasets. It will also highlight how the platform fosters collaborative research and reproducibility, enabling seamless data sharing across academic institutions, CROs, and industry partners.
High throughput experimentation & integration with early drug discovery
Connecting intelligent lab systems: automation in clean energy research
To meet urgent climate goals, clean energy research must evolve. Integrating AI, automation, real-time data capture, and predictive maintenance, laboratories are transforming into intelligent, connected ecosystems accelerating materials discovery. Case studies fromGC-MAC initiatives,autonomous perovskite exploration, andcatalyst discovery platforms show tangible progress. However, challenges such as scaling, durability assessment, and data standardization remain. In this session, Iwill try to explore howconnected architectures and AI-driven optimization could improve laboratoryworkflows, enabling faster, more reliable innovation in clean energy technologies. Connected intelligence is no longer an option; it isa foundation forenergy labs.
From connectivity to intelligent automation: lab workflows at scale to be future proof
Lab digitalization is evolving beyond simple device connectivity—true automation requires intelligent workflows, interoperability, and AI-driven decision-making. In this session, experts from Labforward and Roche will discuss how large-scale lab connectivity is enabling real-time process automation, share lessons learned from connecting 700+ devices, and explore the next steps toward scalable, AI-powered lab operations. Join us to discover how labs can move from data collection to intelligent action.
Time is money–How digitalized workflows enhance laboratory performance
Time is a critical resource in laboratory operations. Challenges such as redundant sample data management, inefficient manual data handling, the manual transfer of results, and time-consuming approval processes are common in laboratories. These issues lead to increased working time per analysis, as demonstrated in our example workflow featuring an automated titration system that performs around 200 analyses daily. Even small savings per sample can result in substantial annual cost reductions. This keynote highlights the importance of ready-to-use interfaces provided by 1LIMS, OMNIS, and some lab devices. These interfaces facilitate process optimization, reduce errors, and enable seamless, cost-effective integratio
AI and human Interaction-Will AI drive forward or hold us back from collaboration?
Orchestrating the future lab: Integrating devices, workflows, and data streams
The increasing complexity of the modern research and diagnostics labs demands innovative solutions for integrating diverse technologies, workflows, and data streams. This engaging session explores the concept of the “future lab” as an interconnected ecosystem where devices, workflows and data streams are orchestrated to enhance collaboration, automation and data driven decision-making. Don’t miss this opportunity to explore cutting-edge innovations in device integration, streamlined workflows, and optimized data streams.
Data-driven labs: The power of AI and LIMS
The integration of AI in Laboratory Information Management Systems (LIMS) is a game-changer in the field of laboratory research and development. AI technology helps in automating tasks, predicting outcomes, and optimizing workflows, ultimately leading to more accurate and efficient data capture.
As both the centralized data management hub for the lab, and the solution for guided procedure execution, LIMS helps to standardize both procedures and data. Integrating AI technologies can optimize lab workflows, facilitate precise data collection, and aid informed decision-making. Utilize predictive analytics for equipment maintenance, inventory management, and process optimization. Understand AI's role in automating routine tasks, including calculations, experiment planning, and auto-approval of test results that meet specifications.
Generating living datasets and public benchmarking opportunities for sequence-to-function prediction models
Public databases, such as the PDB, and community-driven benchmarking, such as CASP, have advanced the state of the art of sequence-to-structure prediction. Align to Innovate, a scientific non-profit, is building upon these successes to address protein sequence-to-function prediction. We will discuss initial results from our suite of programs aiming to create living datasets for machine learning and benchmarking opportunities for sequence-to-function ML models, supported by automated, open-source methods.
Sustainable simplicity: Circular economy for laboratory buildings
Laboratory buildings consume significant resources in their construction and operation. Today, "sustainability" flashes in every presentation, with more and more methods and strategies attached, and less and less thinking done. The harmful effects of technology-based industry on the environment are supposed to be counterbalanced with even more complex technology.
Instead of ever more complex lab buildings, we see potential in simple sustainability and circular economy. A 2024 Green Lab position paper proposes a “10R” strategy for laboratory buildings, systems, equipment, and consumables. The presentation will focus on the building and building systems.
Enable education everywhere: Elongating your equipment life via donation scheme
In well-funded institutions, functional equipment is often discarded, leading to unnecessary waste and significant financial loss. This typically occurs when a lab relocates, a professor retires, or a research group shifts its focus.EquipSent offers a sustainable solution by giving this equipment a second life while supporting education worldwide. The organization collects unused but functional scientific equipment and ships it to schools and universities in low-income countries.In this talk, we will present the EquipSent process and highlight the impact it has made since its founding in 2017.
ELaiN AI Scientific Assistant: How quickly they grow up!
- Leveraging the power of AI in a next generation lab informatics platform
- ELaiN: An AI digital assistant to create experiment content and perform advanced scientific search
- The amazing progress in ELaiN since Lab of the Future 2024
Automated assessment of toxicology in a regulated environment
Safety assessment of consumer products is crucial to product life cycle and development, governed by OECD guidelines and performed under stringent GLP conditions. Traditionally, validated methods and protocols are performed manually, which is challenging during high demand. Automation offers more flexible product assessment while ensuring compliance and data quality.
We introduce the first automation platform for cytotoxicity assays, fully validated and interfaced with internal data management systems. The prototype's modular design allows for easy expansion, including additional assessments and upstream sample processing. This marks a crucial step towards fully automating and digitalizing product assessment in a highly regulated environment.
How do I partner effectively? Converging expectations of smaller and larger players
The on-the-spot analysis of substances with handheld NIR devices combined with advanced ML
Handheld near-infrared (NIR) spectroscopy, combined with machine learning and cloud computing, is reshaping analytical workflows by enabling fast, reliable, and scalable substance identification. These technologies minimize sample preparation and consumable use while ensuring accuracy and adaptability, particularly in applications such as narcotics analysis and counterfeit medicine detection. Cloud-based platforms further enhance efficiency by enabling centralized data management, real-time monitoring, and seamless collaboration across multiple locations. By integrating portable spectroscopy methods with connected laboratory ecosystems, this approach extends beyond pharmaceuticals into fields such as food, feed, agriculture and textiles. It supports the shift toward more automated, data-rich, and interconnected laboratories that leverage data effectively.
*Title TBC
Developing earth-based materials for sustainable construction via fast robotic 3D printing process
Data is everywhere: Empowering lab operations for unmatched efficiency, case studies from real lab live
In today’s laboratories, data is not just a byproduct; it’s the driving force behind operational excellence. From sample analysis and equipment performance to compliance and quality control, data permeates every process, decision, and innovation. By harnessing the power of data, labs can uncover actionable insights, streamline workflows, and elevate efficiency.
Real-time data analytics enhances accuracy, reduces errors, and ensures regulatory adherence. As we navigate an era of digital transformation, understanding and leveraging this vast reservoir of data is critical to achieving sustainable growth, fostering innovation, and meeting the ever-evolving demands of the pharmaceutical landscape.Data is everywhere—are we using it effectively?
Case studies show, success is driven by the people in the lab.
Break
Visit our start-ups on the expo floor
Chair
Chair
Chair
Veterinary AI: Showcasing cutting-edge innovations in animal care
This presentation explores how AI is revolutionizing veterinary care by equipping veterinarians with advanced tools and techniques. It highlights the state-of-the-art AI models developed for veterinary diagnostics, including RapidRead, which provides detailed AI-assisted radiology reports in under 10 minutes, and at-home diagnostics tools to monitor health and well-being for dogs. The session emphasizes the importance of large datasets and innovative algorithms in improving diagnostic accuracy and efficiency, ultimately enhancing animal care and well-being
Panel: Build or Buy- When should you insource or outsource lab services and products?
- How do you decide whether to buy off the shelf or build bespoke internally?
- Cost implications
- Does one solution fit for sites and companies of all sizes?
- How do vendor-end user collaborative R&D models fit in?
- Addressing misconceptions data privacy and security of solutions in the cloud
Ellen Piercy, Automation Lead Engineer, Unilever *TBC
Panel: FAIR data and publishing -Why should scientific publishers & the lab community care about FAIR data?
- Why is FAIR data & Meta data so important?
- Why is it therefore important that the studies published are FAIR?
- What are the current practices?
- How can we as a community ensure studies are FAIR in order to be published?
Digital consumables: customer-driven portfolio customization
Are you looking to accelerate innovation and enhance lab efficiency? Join us to explore how we adapt the digital features of consumables to meet the needs of labs worldwide. Through a customer-driven portfolio adaptation, we collaborate with our clients to develop customized Lab 4.0 solutions. With SafeCode, our barcoded digital consumables, we demonstrate how we can support future-proof lab setups, ensuring traceability and efficiency while maximizing user value. Together, let's shape the future of laboratory environments.
Powering the future: cutting-edge upgrades boost tech centre & testing capabilities
AI ethics in the age of machine learning
This talk delves into the ethical challenges arising from AI and machine learning's rapid advancements. It explores topics like algorithmic bias, transparency, accountability, and the societal implications of autonomous systems. The panelist will examine real-world examples, regulatory considerations, and frameworks to ensure responsible AI deployment. Attendees will gain insights into balancing innovation with fairness and inclusivity, as well as the ethical principles shaping the future of AI. This session is essential for leaders aiming to build trust and align AI strategies with societal values.
Future of automation: from effortless user experience to zero defect and full reproducibility
In this session, we will present an innovative automation solution enabling effortless automation, operation, and multi-omics. We will also go beyond the liquid handler to showcase real-life examples of advanced Digital solutions supporting zero defect and full reproducibility for every lab operator across end-to-end workflows. Join the discussion and bring home actionable ideas for your pharma, biotech, or clinical labs.
Designing the lab of the future: seamless IT integration for scientists
- TheimportanceofIT/Technology and infrastructure during thedifferent phases of thelab lifecycle.
- How to engage, communicate and manage expectations early with all internal and external stakeholders
- Therealityfor"Virtual solutions" (very complex solutions with tonsofad hoc development) and how several IT units collaborate toshield all the complexity with the users.
- Anticipatingtheevolving technology landscape: Buildinginflexible and adaptable facilities to manage change effectively.
Developing a versatile chemistry lab: opening doors to collaborative research across diverse fields
This year, the High-Throughput Experimentation Laboratory (HTEL) in the Department of Chemistry at University of Zurich is opening its doors! The facility was designed to offer HTE service for the department and external collaborations, foster independent research in Digital Chemistry and support our new teaching programme. Be it catalytic screening, parallel synthesis, biochemical assays or automated sample preparation, the research in our department features great diversity – and the HTEL reflects this with great versatility.
This presentation will provide an outline of our holistic project, give insights into the HTEL equipment and demonstrate the capabilities and potential for future collaborations.
A novel tool for accelerating SAR analysis and reporting, to enhance compound design
Analysis is an essential component of the DMTA cycle. Indeed, Structure Activity Relationships analysis (SAR) is a key source of inspiration for compound design. However, SAR analysis is a very time-consuming process, impeding the frequency of regular updates. Moreover, the evolving contextdemands the consideration and analysis of an increasing array of parameters to design effective and sustainable plant protection products. To address these challenges, Bayer initiated a collaboration with Discngine to develop a new tool to accelerate SAR analysis and reporting across multiple endpoints. The ultimate goal is to support, guide and improve decision making in projects both in terms of quality and efficiency. The tool contains several modules enabling the creation of SAR overviews in a fully streamlined manner and facilitate in-depth analysis of Matched Molecular Pairs (MMP) and R-Group deconvolution reports. We will present the rational to engage into the development of this tool, provide an overview highlighting its capabilities and its potential to significantly facilitate SAR analysis and impact on compound design. Lastly, we will discuss our extended collaboration with Discngine and the productization of one of our SAR reporting module, now available for commercial use as a Discngine solution, ‘SAR Slides’.
Expediting hit-to-lead progression in drug discovery through reaction prediction and multi-objective optimization
The rapid and economical synthesis of novel bioactive compounds remains a significant hurdle in drug discovery efforts. This study demonstrates an integrated medicinal chemistry workflow that effectively diversifies hit and lead structures, enabling an efficient acceleration of the critical hit-to-lead optimization phase. Employing high-throughput experimentation (HTE), we generated a comprehensive data set encompassing 13,490 novel Minisci-type C-H alkylation reactions. This data set served as the foundation for training deep graph neural networks to accurately predict reaction outcomes. Scaffold-based enumeration of potential Minisci reaction products, starting from moderate inhibitors of monoacylglycerol lipase (MAGL), yielded a virtual library containing 26,375 molecules. This virtual chemical library was evaluated using reaction prediction, physicochemical property assessment, and structure-based scoring, identifying 212 potential MAGL inhibitor candidates. Of these, 14 ligands were synthesized and exhibited subnanomolar activity, representing a potency improvement of up to 4500 times over the original hit compound. These compounds also displayed favorable pharmacological profiles. Co-crystallization of three computationally designed ligands with the MAGL protein provided valuable structural insights into their preferred binding poses. This study demonstrates the potential of combining miniaturized HTE with deep learning and molecular property optimization to reduce cycle times in drug discovery.
Building a dream HTE lab from scratch
High-Throughput Experimentation (HTE) accelerates chemical research and reduces material consumption. Roche's HTE platform supports projects from medicinal chemistry to process development, enabling over 1500 reaction screenings. We present our HTE philosophy, showcase our open-source "HTE OS" workflow, and share compelling case studies demonstrating its impact on sustainability and innovation.
From silos to synergy: AI & the future of connectivity & collaboration
As AI and digital transformation reshape workplaces, seamless connectivity, and collaboration are critical for success. This session explores how AI-driven tools, hybrid work models, and intelligent digital ecosystems bridge the gap between physical and virtual spaces, revolutionizing communication and teamwork.
Drawing from real-world insights, we discuss strategies to break silos, enhance engagement, and build a digitally connected, collaborative ecosystem. Learn how to leverage AI to create inclusive, efficient, dynamic work environments that drive innovation and productivity. Whether navigating hybrid teams or integrating automation, this session provides actionable steps to enable frictionless communication and future-proof collaboration in the AI era.
*Title TBC
From chaos to clarity - unlocking the power of data standards for digital transformation
Digital transformation in R&D demands more than digitization — it requires connected, high-quality data. This session shares how establishing robust scientific data standards and governance structures enabled cross-system interoperability, AI readiness, and FAIR data practices. Learn how thoughtful ontology management, stewardship, and change control transformed data chaos into clarity, accelerating analytics, automation, and insight generation across the research ecosystem.
Panel: What is driving lab clusters and innovation centers in Europe?
- What does Europe offer for lab innovation?
- Examples of new/upcoming developments in Europe
- What capabilities, funding and support are available to grow networks and business
- Examples of innovative ideas that utilise space and harness collaboration. (co working, flexible labs)
- How are you fostering community and infrastructure, and incentivisinginvestment?
From insights to outcomes: Real-world optimisation of lab operations using CrossLab Connect Digital Services.
Agilent Digital Services give laboratories a holistic view of what is really happening in their lab. But how are laboratories capitalising on utilisation and service data and insights? We look at case studies where CrossLab Connect is empowering Lab Managers and Purchasing Managers so they can reduce costs, improve productivity, and meet sustainability goals.
- Learn how combining utilisation and service analytics with expert guidance provides valuable insights for more informed decisions.
- Case studies showing how Lab and Purchasing Managers are reducing costs, enhancing productivity, and contributing to meeting sustainability targets.
- Understand the process and benefits of connecting your laboratory with CrossLab Connect.
Leveraging AI for smarter labs: Use cases, experiences and learnings
The AI/ML landscape is evolving rapidly, offering undeniable transformational potential for laboratories. In this presentation, we share key insights and learnings from our development of tools aimed at creating smarter labs, encompassing natural language processing and device data analysis.
E2E DMTL - (Modular, Scalable, Versatile)ˣ
E2E DMTL - (Modular, Scalable, Versatile)ˣintroduces a revolutionary approach to chemical research through closed-loop machine learning systems that automate the Design-Make-Test-Learn cycle. The system leverages the Chemspeed platform's OpenAPI to create a seamless integration between AI-driven experimental design, automated synthesis, and integrated analysis. This end-to-end automation enables autonomous optimization, continuous learning, and rapid exploration of chemical space while enhancing safety and reproducibility. By eliminating manual intervention and standardizing workflows, the system dramatically accelerates the discovery process and optimizes reaction conditions, transforming traditional chemical research into an efficient, data-driven endeavor.
Building a lab digital core and enabling an AI-driven lab with Scitara DLX
In this presentation, Scitara will explore how to establish alab digital corethat enables seamless connectivity, automation, and AI-driven innovation. We will discuss strategies for integrating diverse lab instruments, systems, and data sources to create a fully connected digital ecosystem. Learn how contextualized data streaming, enterprise integration, and AI-powered workflows can transform laboratory operations—enhancing efficiency, compliance, and scientific insights. Join us to discover how Scitara’s approach unlocks the full potential of your lab, paving the way for smarter decision-making and accelerated discoveries in the AI era.
One does not simply implement an Electronic Lab Notebook: The epic saga of ELN implementation
With the ever increasing realisation that a majority of scientific research data that is published is not “FAIR” (Findable, Accessible, Interoperable, Reusable) there has been a strong push in recent years to implement digital tools within the labs (namely Electronic Lab Notebooks) to combat this. However, implementing an Electronic Lab Notebook (ELN) is no mean feat, it is a sociotechnical challenge with a range of barriers and considerations that need to be taken into account if this is to be achieved successfully. Furthermore, we need to understand that implementing an ELN is not the end of the journey; digital tools and digitally produced data are arguably no more FAIR than the original paper based lab book if they are not utilised to their full extent. Join me to delve into my decade long journey in how to implement Electronic Lab Notebooks.
Addressing scheduling problems in robotic labs-Role of mathematics in steering robotic arms and lab device
Enhancing scientific knowledge: Leverage logics and AI to make better science
The LARAsuite (gitlab.com/larasuite) is automatically generating knowledge graphs during robotic experimentation. In this demonstration, we illustrate the current state of our open-source developmentsand show, what computer actionable knowledge can already be used for life science machine learning applications.
From nanoreactors to AI-driven Insight: accelerating discovery in the digital lab
The integration of cutting-edge technologies is reshaping the scientific discovery process, and chemistry stands at the forefront of this transformation. In our laboratory, we combine the precision of miniaturized reaction technologies with the predictive power of artificial intelligence to unlock new possibilities in molecule discovery and optimization. Using acoustic droplet ejection (ADE) technology, we perform thousands of chemical reactions daily at nanoliter scales, generating vast datasets that fuel AI-driven predictive models. This seamless fusion of automated synthesis, high-throughput analytics, and machine learning enables a data-rich, hypothesis-driven approach to discovery. In this talk, we will present how such platforms can revolutionize early-stage drug discovery. We will share insights on integrating AI with miniaturized experimental systems to accelerate the development of innovative solutions, highlighting practical applications and the future potential ofthisapproach. Join us to explore the synergy between advanced instrumentation and AI in transforming the modern lab into a discovery powerhouse.
*Title TBC
Exploring oligonucleotide viscosity behavior in-silico
Currently, the viscosity behavior of oligonucleotide therapeutic formulations, crucial for drug manufacturing, is hard to explore in simulations.
Challenges arise as increasing oligonucleotide concentrations lead to higher viscosity which creates a point where the solutions are hard to handle.
What if there is digital help with simulating and predicting how formulation aspects impact molecular dynamics, enabling you to optimize formulations before reaching production. This approach not only saves time but also ensures predictable, stable product behavior, improving efficiency and consistency in drug manufacturing.
In this presentation you will get an insight into the current state of research on this research problem.
Increasing efficiency in biological development by applying lab automation
The real threat to AI in labs? Lack of reproducibility
Everyone’s hyped about AI in labs — but here’s the truth: your data isn’t machine-learning ready. Most labs still run like it’s 1990, with manual methods and messy results. AI can’t fix bad inputs.If your data isn’t machine-readable, consistent, and automated at the source, AI is just smoke and mirrors.Reshape Biotech builds integrated lab automation to fix the foundation — replacing unreliable, human-generated data with structured, AI-ready outputs.The future of science doesn’t start with better models. It starts with better data
Optimizing the NGS pipeline in hematopoietic disease research with automated liquid handling
Cimeio Therapeutics is an applied gene editing and immunotherapy company developing a portfolio of Shielded-Cell & Immunotherapy Pairs™ (SCIP). To evaluate potential targets, explore new variants and optimize gene editing tools, Cimeio relies on flow cytometry and next generation sequencing (NGS) to determine editing accuracy, efficiency and shielding at both the cellular and genetic level.
The ASSIS Plus pipetting robot from Integra Biosciences has been integrated into the NGS workflow and has contributed to a more consistent, less time-consuming and less error-prone setup, resulting in an improvement of the overall quality of processing.
Maximizing ROI in pharma IT: Transforming lab-to-manufacturing with AI-ready data and intelligent orchestration
In today’s rapidly evolving lab environment, driving ROI from R&D investments requires more than just data—it demands AI-ready data and seamless orchestration. In this session, Teodor Leahu, VP of Strategy and Development at L7 Informatics, will reveal how labs can overcome fractured workflows and siloed data by leveraging intelligent orchestration and platform rationalization. Discover practical strategies for accelerating digital tech transfer, optimizing lab operations, and preparing your organization for the next wave of agentic AI innovation.
The long hard road to FAIR@source in CMC Development
Paving the way for future success-Can we set up research designed for digital sustainability?
- How can we ensure that digital investments in research remain adaptable, accessible, and relevant over time?
- How can adaptable digital tools balance initial investment with long-term financial sustainability?
- How to ensure knowledge retention and access to work that has been done before?
- How to manage a bottom-up approach with cultural, change, and attitude shifts?
Senior Representative, Astrix
Additional panelists TBC
Level up your lab: Smart strategies to maximise efficiency
This session will cover:
- Data optimisation (including efficiency management of meta data)
- Digital twin
- Lab automation
Explainable AI- enhancing human interaction ensuring impact
Versatile and flexible “whole-in-one” solution for lab automation
DTU Arena for Life Science Automation (DALSA)–a co-creation space for interdisciplinary projects to explore new automated technologies
Leveraging machine learning and AI for bioinformatics on the Seven Bridges Platform
Discover how applying machine learning (ML) and artificial intelligence (AI) on the Seven Bridges Platform is transforming your bioinformatics analysis! As a leading cloud-based solution, Seven Bridges empowers researchers to effortlessly integrate AI/ML tools into their bioinformatics workflows, enabling faster, smarter insights from complex genomic and biomedical data. Through real-world success stories, we’ll show you how the Seven Bridges Platform accelerates scientific breakthroughs, making AI-powered discovery accessible and scalable for every researcher.
Putting science first - How a modern informatics platform allows laboratories to focus on science
In today’s fast-paced research landscape, laboratories often grapple with complex data, rapidly changing specifications, and the need for seamless collaboration. This talk explores how a modern informatics platform can alleviate these challenges by integrating data management, workflow automation, and collaboration tools into one streamlined solution.
By centralizing lab activities and simplifying tedious processes, scientists can devote more time to meaningful research rather than troubleshooting technology. Additionally , this approach enhances data integrity, increases productivity and promotes better-informed decision-making
Exhibition Drinks
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Day 2 Opening Remarks
Keynote Panel: Putting our people first: Empowering change and upskilling towards a transformative digital research environment
In an age of rapidly advancing technology, successful adaptation within labs relies on effective change management and comprehensive training programs.
- What are the biggest challenges labs face when implementing new technology or procedures, and how can these be managed?
- With skills in data science, machine learning, and automation becoming essential, how can we build training programs to ensure their teams remain skilled, resilient and adaptable?
- How can labs ensure that training and change management investments translate into increased productivity, higher-quality research, and overall lab improvement?
- As technology reshapes lab roles, what do you think makes a successful scientist in 2025, and how might that change in the next 5 years?
Break
Visit our start-ups on the expo floor
Working Group 1) Automation of the lab work bench – key aspects of a digital, connected, and efficient workflow
Join us for an engaging workshop, "Automation of the Lab Work Bench – Key Aspects of a Digital, Connected, and Efficient Workflow," where we jointly delve into the future of lab operations. This session will feature a moderated World Café scenario aimed at identifying critical components that define tomorrow's lab workflows. Participants will explore how digitalization and connectivity enhance efficiency, enabling seamless integration of automated processes. Discover how these innovations can transform traditional lab environments into dynamic, future-ready spaces. Whether you are a researcher, technician or manager, this workshop offers you the opportunity to develop new ideas and exchange ideas with like-minded participants on ways forward in the evolving landscape of life science laboratories.
Working Group 2) A pragmatic approach to data strategy definition and implementation
- What are the challenges encountered when building a data strategy?
- Can a data strategy be evolutive and scalable to enable rapid ROI?
- What is the right organization/governance?
- How to measure the business value and control depth of data strategy vs ROI?
Working Group 3) FAIRication topic * Title TBC
Working Group 4) How to improve you process understanding in your sterile lab or production with the help of AI and simulation?
Cleanroom operators are experiencing high operational costs and frequent delays introducing new or revised products. How can we identifying bottlenecks, reducing testing efforts and downtime, while increasing throughput in the lab? Are there ways to predict unexpected behaviours in the production?
Performing fluid simulations for particle, air flow and temperature helps create and restructure production and laboratory environments faster and without high resource costs. This supports contamination control strategies as required by Annex 1 of the EU GMP, reduces equipment usage for experiments and tests and accelerates go to market for new or changed products
First Round Pitches
Words from 2024 start-up pitch winner
AI-driven Autonomous Process Development
TINFE - measure twice, analyse once
Privacy-preserving data analytics with MorphMetro.eu and TruPS.e
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Chair
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Panel: The Future of self-driving labs and their applications
- What is the current landscape for SDLs?
- Why is chemical/ material science leading the way with SDLs and what can other application do to avoid being left behind?
- What are other possible future SDL applications? – drug discovery agriculture
- Where to start when implementing a self-driving system in a lab?
Automate and speed-up your analytical workflows
Taking you from instruments and analytical data to knowledge and decisions and beyond,MESTRELAB RESEARCH’s innovative scientific software is for analytical chemistry data processing, analysis & reporting. We create solutions for automated analysis as well as desktop solutions. Our workflows include request-to-result solutions, data preservation tools and are set up to enable you to build the future by including the ability to transform analytical data to become AI-ready.
Our tools support NMR, LC-GC/MS, and optical spectroscopic data and enable extraction of meaningful chemical information from your analytical data
OpenSemanticLab - Open-Source ecosystem for semantic interoperability between equipment, data and code
OpenSemanticLabis an Open-Source ecosystem which combines existing industry standards in order to empower users to make use of semantic technologies and ontologies without even recognizing it.
In this talk we would like to share insights about this approach, related projects (e.g. BIG-MAP), and how it actual helps to improve the interoperability between data, equipment and code which enables reusability and finally can significantly accelerate material research. On the outlook we want to provide a perspective on the upcoming data spaces (IDS, GAIA-X, etc.) that build strongly on semantics and will have a major impact on public and industry research.
Integrated software & hardware to enable streamlined analytical and purification workflows
AstraZeneca’s analytical teams analyse and purify thousands of samples every year, using diverse and complex workflows. Our drive to identify and remove process bottlenecks and improve efficiency encompasses both hardware investment and software development. This presentation describes three key elements which combine to deliver significant increases in laboratory capacity; automated data processing, intelligent sample tracking and state-of-the art sample handling hardware. It also shows how we have built end-to-end data flows that integrate all three of these elements and that sample throughput has been increased significantly, allowing more compounds to pass through the DMTA cycle than ever before.
Achieving extraordinary results through positive leadership
In today's complex world, effective leadership goes beyond management, requiring building trust, creating connected organizations, and adapting to change and uncertainty while achieving extraordinary business outcomes.
Positive leadership, rooted in positive psychology, is a mindset and set of skills that leaders can use to foster a thriving environment, especially during times of change, by focusing on strengths, building resilience, and promoting positive emotions and engagement.
Join to learn how to lead positively and effectively through science-backed methods and insights drawn from over 15 years of successfully leading teams through challenging times.
From disconnected data to digital synergy in the lab
How can laboratories evolve beyond fragmented systems and unlock the full potential of their data? This session dives into emerging industry trends and answers critical questions, including:
- How can data modeling and orchestration fuel seamless interoperability across lab systems?
- What’s the strategic role of data governance in balancing innovation with compliance?
- How can labs architect scalable, future-ready data infrastructures that align with long-term digital ambitions?
Master your data across the entire lifecycle of pharma R&D data assets: From collection in the lab, through management, to generating actionable insights
This presentation explores how to effectively manage pharma R&D data throughout its lifecycle—from lab data collection to advanced management and insightful analysis. It highlights best practices, technologies, and strategies to ensure data integrity, accessibility, and usability. Real-world case studies illustrate how organizations can streamline workflows, enhance decision-making, and drive innovation by mastering their data assets.
Automated benchtop perfusion, culturing, imaging, and sampling of organ-on-a-chip Blood-Labyrinth Barrier (BLB) microfluidic devices
The University of Basel has developed a microfluidic human BLB (Blood-Labyrinth Barrier) organ-on-a-chip platform as a preclinical tool to improve drug development by simulating and mimicking the BLB of the human ear. This platform is used to help screen promising drug candidates, which enhances clinical trial success rates while reducing costs and development time. To aid in long-term culture, sterile sampling, and increased throughput experiments, CSEM has developed an automated system that provides the appropriate physiological environment, continuous perfusion, and automated sterile sampling of 9 BLB chips in parallel, enabling long-term, sterile culturing and monitoring
The relevance of sustainable laboratory practices
Scientific research drives innovation but has unintended environmental costs, including high energy use, hazardous waste, and resource depletion. Laboratories significantly contribute to climate issues, prompting grassroots Green Lab initiatives to tackle these challenges. These efforts, led by researchers, promote sustainability through education, guidelines, publications, and accreditation. Using data from the University of Groningen, we demonstrate annual savings of €398,763 and 477.1 tons of CO₂e. This evidence supports sustainable practices and systemic changes in research institutions. Scientists must lead by example, adopting sustainable methods to inspire industry, politics, and society to follow. Change begins within the scientific community.
Navigating change together: shared vision, shared success
- People: The heart of every transformation lies in the individuals behind it. Investing in people isn't just a strategy—it's the foundation for sustainable growth. In today's digital landscape, it's more critical to empowered individuals who drive innovation and change.
- Navigating the Digital Future: The pace of change is accelerating—becoming faster, more frequent, and deeper. Embracing digital technologies, from real-time data analytics to AI and automation, isn't optional but essential. However, as industry shifts, it's crucial to ensure that people are equipped, motivated, and supported in this journey.
- Shared Ownership for Success: As leaders, our challenge is not just implementing technologies but translating this vision into actionable steps, fostering collaboration, and unlocking the full potential of our workforce. When we empower individuals to take ownership, we create a positive spiral of growth, innovation, and pride in the work we do.
AI - Model of the gaps
Bridging the Gap:In the production of sustainable cacao and coffee biomass for the food industry, AI is transforming laboratory automation by addressingspecific bottlenecksrather than replacing established workflows. AI-driven object detection enhances imaging precision, while neural networks refine biomass estimation by interpolating growth dynamics from limited data. Beyond imaging, AI also plays a role in experimental design and literature research, streamlining data-driven decision-making. This talk explores practical applications of AI in lab automation, highlighting its strengths, limitations, and the importance of integrating AI as a complementary tool within existing scientific and technological frameworks
Automated crystallization in material research
Automated crystallization plays a vital role in materials research, especially in the development of new materials. By utilizing automated systems, crystallization processes can be precisely controlled, consistently reproduced, and systematicallyoptimized.Tofacilitate crystallization experiments, a robot-based automation system has been developed. This system automates key process steps, including the preparation of crystallization solutions, continuous monitoring of the crystallization process, and the final preparation of test samples for subsequent analytical measurements. Equipped with a comprehensive array of sensors, the system ensures real-time monitoring of the entire process and enables the simultaneous processing of up to 100 samples. The integration of mobile robotics further allows for continuous, uninterrupted operation.
Creating an interconnected digital, robotics, AI lab
Get data to clean itself: data quality audits with AI
Real-world data collections almost inevitably contain issues which decrease their value, for example by deteriorating performance or undermining trust.
Whether data are gathered via user inputs, sensors, or careful clinical protocols, they will have artefacts such as near-duplicate, off-topic, or wrongly labelled samples.
Thankfully, there are ways to detect inconsistencies using modern techniques like self-supervision.
This enables to find issues during collection, before training, or even during deployment of AI models on data streams of increasing size, and involving human labour only as much as needed.
Additive manufacturing of HPLC LoC-Systems
Additive manufacturing, also known as 3D printing, has evolved from a mere prototyping tool into a key technology across various industries. Although its adoption in laboratories is increasing, its full potential often remains untapped.This talk explores the use of fused layer modeling (FLM) and two-photon polymerization (2PP) for the fabrication oflab-on-a-chip (LOC) systems in HPLC. The first part focuses on the development of a modular LoC system. The second part delves into the 3D printing of monolithic separation columns – the core component of HPLC.
Turning plastic waste into sustainable wins
Laboratories worldwide generate massive amounts of plastic waste every year—but what if we could change that? This session will showcase the latest innovations in consumable reuse, automation integration, and data-driven sustainability tracking. Learn how cutting-edge labs are moving beyond single-use plastics, optimizing workflows, and making a tangible environmental impac
Putting the theory into practice-how to work effectively as a product focused organisation
*Title TBC
Senior representative, Polymerize
AutoOrgan.3R: an automated open-source multi-scale imaging platform to replace animal testing
From excel to AI–Your journey towards laboratory data excellence
Laboratories drive innovation, yet fragmented data management often limits efficiency and AI adoption. Many labs struggle with unstructured data scattered across paper records and spreadsheets, creating silos that hinder insights and collaboration. The journey to AI starts with structured, digital data capture—turning scattered information into a strategic asset. By embracing a fully integrated digital ecosystem, labs unlock efficiency, accuracy, and breakthrough discoveries. The future of laboratory work lies in making data work for us, fostering seamless collaboration, accelerating research, and transforming raw information into actionable intelligence.
Debunking the myths-Are bio-based products better than traditional products?
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Second Round Pitches
5 finalists have been selected by our judges to go the second round and give a second pitch with Q&As
Break
Visit our start-ups on the expo floor
Chair
Building an ecosystem around autonomous Materials Acceleration Platforms for scale-up production of advanced functional materials for sustainable energy technologies
This session explores how to build an ecosystem around autonomous Materials Acceleration Platforms (MAP) for advanced functional materials in sustainable energy technologies. Three speakers will provide insights: one on the COST-Action EU-MACE, an ongoing European project establishing such an ecosystem; another will showcase a specific example on connecting traditional (legacy) laboratories to a MAP in practice; and the third will highlight the critical role of communication in bridging diverse stakeholders to foster collaboration and accelerated innovation.
Accelerating biotech innovation: opportunities in Basel’s thriving ecosystem
Transitioning from academia to a commercial biotech environment presents numerous challenges. This session offers practical insights into establishing a lab, addressing key considerations such as regulatory requirements, funding access, and available support structures. Attendees will gain a deeper understanding of why the Basel area stands out as a prime location for biotech startups, benefiting from cutting-edge facilities, tailored services, and a dynamic innovation community at Switzerland Innovation Park Basel Area
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Senior Representative, Dotmatics
Extended reality (XR) with real-time AI feedback for surgery training
Data-driven insights for next generation sustainability
Regulatory compliance is critical for adopting sustainability initiatives in pharma. However, further progress is dependent on meeting functional requirements and green initiatives becoming more cost effective. To achieve this, we must combine the power and promise of data, machine learning, and artificial intelligence trained on authoritative and comprehensive scientific content. We will share our efforts to explore chemical value chains, identifying opportunities where adopting sustainable substances and processes beyond government mandates drive functional advantages and efficiency in process and cost.
Empowering tomorrow’s scientists: lab automation in education
Short presentations & discussion on education!
Explainable AI
Smart biofabrication for bio-hybrid soft robotics: optimization strategies for effective muscle tissue engineering
We will explore how automation revolutionizestissue engineering, focusing on fabricating muscle tissue to be used as actuators for bio-hybrid robotics. Optimizing this complex process requires real-time monitoring through sensors and predictive methods, including AI-driven models and closed-loop systems. By integrating bioreactor technologies with smart control systems, we can enhance tissue growth and functionality, making biofabrication more efficient and scalable. This approach not only accelerates research but also holds immense potential for advancing regenerative medicine and personalized therapeutic applications.
From zero to hero: Transforming data stewardship
The amount of data generated by research, is growing at an exponential rate. And yet, so much of this data is unusable, due to the lack of expertise, tools, and resources for effective data management. Data Stewards are the key to bridging the gap between data generation and reuse, as they have a fundamental role that ensures the quality, accuracy, accessibility and longevity of data across the entire data lifecycle. We place great value in data, but the current investment in the time and resources to drive forward data excellence is sorely lacking, and best practice like FAIR cannot be implemented without investing in data stewards.This presentation will explore the role and requirements of data stewards across the entire research data lifecycle, and demonstrate how researchers and data stewards can work together to create FAIRer data.
Insights into BASF journey of digital Transformation
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Enabling researchers to set up their own interdisciplinary research networks
COST Association - European Cooperation in Science and Technology
FAIR experimental data workflows with NOMAD Oasis
NOMAD, developed by the FAIRmat project, is an open-source platform connecting experimental and computational materials science. Originally designed for DFT simulation data, NOMAD now emphasizes capturing experimental metadata and ensures FAIR-compliant, AI-ready data storage. In this talk, we highlight key developments supporting experimental workflows: NOMAD Oasis (customizable on-premise deployment), NOMAD Plugins (enabling flexible data schemas, ELN integration, automated processing, and custom analytics apps), NOMAD CAMELS for laboratory automation, and seamless integration of third-party ELNs. Combining comprehensive experimental data models with integrated ML and AI analytics, NOMAD facilitates powerful, data-driven research accessible via intuitive interfaces and APIs.
Integrating omics for high level digitalisation of mammalian culture
The heritage of plastic – Which options do we have?
Sustainability becomes more and more important. Wherever the topic of sustainability emerges in the scientific community, there are many aspects to consider. Plastic-based laboratory consumables are mandatory for many steps in the lab: Purity, sterility, ease-of-use, the expectations of the user are high. But plastic provides a severe heritage: Limited oil resources and waste load.
Is plastic really that severe? What is the real carbon impact? Which alternatives like biobased material or recycling material are the right way to go? Discover the options for plastic & sustainability in the lab.
Closing panel: Addressing the gender bias to achieve ethical AI
- What is the impact of the AI Act 2025 on women?
- Explain some of the opportunities and obstacles presented by technology and AI’s rapid advancements
- What are some of the effects of AI on businesses and consumers, and how to navigate the changes ahead?
- What is needed to drive gender equality with AI innovation?
- How can we balance AI regulation with fostering innovation, ethical integrity, and trust?
- How can digital and technology leaders align AI strategy to deliver business growth and societal impact?
Closing panel: What is in store of the future of robotics in the lab?
From Humanoid bipedal robots to dual arm and drones.
- What are the current robotic trends and trajectory are these are on?
- What has been done in other industries - successes stories?
- What should we (the lab community) be doing in the coming years to continue innovation in the lab?
Closing panel: Bioconvergence: Advancing cross-industry innovation through a multidisciplinary approach
- How are biointelligence and bioconvergence advancing F&B, agriculture, pharma, materials, and energy?
- What new biotechnologies are emerging across and transforming these sectors?
- How can these innovations address sustainability challenges like carbon reduction, waste, and resource efficiency?
- What are the key hurdles—technical, regulatory, or economic—in scaling these solutions?
- How can collaboration across tech, biology, and industry accelerate innovation?
Senior Representative, Bayer Crop Science
Additional Panellists TBC
EUROLAB’s support for the lab of the future
EUROLAB is supporting laboratories in their transition to the Lab of the Future by addressing the daily pains of digitalisation, including interoperability, automation, and cybersecurity challenges. The EUROLAB's Working Group on Digital Transformation is discussing practical support through guidelines, training, and collaboration. While several initiatives are in development - such as structured training programs on digital transformation, the exploration of digital certificates and AI applications, and updates to EUROLAB’s digitalisation-related publications - the focus remains on understanding real-world laboratory challenges and shaping support mechanisms that are both practical and feasible.
Circularity in laboratories
How to use leverage to unlock the power of sustainability for business success
The transformative potential to create leverage through the combination of excellence, trust, and innovation, and its practical implementation through the creation of Labs. By embracing the logic and ways of working of a research lab, we can move beyond mere compliance to fully integrating sustainability into the core of our organizational culture, meeting climate goals, and driving business success. Redefining the carbon challenge as an opportunity for sustainable growth and innovation, and bringing our values into action, can boost significant climate impact while enhancing our competitive edge
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