BIOINFORMATICS
Bioinformatics is one of the most exciting branches of scientific exploration. With vast databases of multiomic and phenomic data becoming accessible we are now starting to reap the benefits of computer science and more
BIOINFORMATICS, Wednesday 4 December 2019
Registration and Refreshments
Chair’s opening remarks
Personalised Healthcare – more than big data and AI
Digital Endpoints and Patient Centricity
- Development and validation of digital endpoints can take an equivalent length of time as developing a new therapy, so defining and remaining focused on the right problems is of critical importance
- Digital endpoints represent an opportunity to link symptomology to mechanism, and capture objective HRQoL data throughout the clinical development process
- Examples will be presented from measuring independence, cognition and fatigue, based on experience gained running more than 20 interventional trials over the last 3 years
Getting your data and applications ready for precision medicine
- Learn about key capabilities of the underlying reference architecture for high performance data and AI (HPDA) to manage the ocean of data and optimize your AI and big data pipelines for analysis.
- Understand how to improve data quality through advanced metadata management using content-based and policy-driven data classification & tagging.
- Discover how to support hybrid multicloud workload orchestration with end-to-end automation of workflows, leveraging containers and cloud using a self-service 'App Hub'.
- Hear about use cases from the world's fastest genomics pipeline to the largest variant database and explore how your organization can improve speed, scalability, collaboration and ease of use and gain significant cost efficiencies
New Frontiers in Data Science – the role of automation in accelerating scientific discovery
Redefining Research and Development in the Era of Data Science
Speed Networking
Morning refreshments
Roundtables
Accelerating operations and analytics with High Speed Data sharing across platforms and the world
Laurent Martin, Aspera Pre-Sales Engineer - Emea, IBM Global Markets
Advances in Data Quality Assessments of GP and hospital EHRs for clinical research
Juan M Garcia-Gomez, Professor, Polytechnic University of Valencia
AI-driven precision nutrition for cancer prevention using Dream Labs
Jozef Youssef, Molecular Gastronomy Chef, Imperial College London
All4IBD: a Digital Medicine Toolkit to transform care in Inflammatory Bowel Disease (IBD)
Analytical challenges with multimodal patient data: deriving drug development insights from clinico-molecular data
Gunther Jansen, Group Director, Phc Data Science Analytics, Roche
Applying AI Enabled Digital Pathology for Biomarker Applications
Sasha Paegle, Senior Manager – Life Science, Unstructured Data Solutions,, Dell EMC
Data collection & algorithmic training for biomedical tasks: utilisation and strategies
Data Lakes, Getting data ready for analytics, and Personalized Health Data
Martin Preusse, Chief Executive Officer, Kaiser & Preusse
Design thinking: Driving forwards innovation in pharmaceuticals
Hermann Tribukait, Founder and Chief Executive Officer, ChemOS Inc.
Diagnosis based on genetic information and public ontologies and databases, improving the diagnosis process of rare disease patients with Foundation29
Digital Biomarkers as endpoints in clinical trials: an opportunity for Personalised Healthcare
Christian Gossens, Digital Biomarker Informatics; Global Area Head; pRED Informatics, Roche
EMBL-EBI working with small and medium sized bio-businesses - a brainstorm
Matt Hall, Senior Scientific Officer, E.M.B.L. European Bioinformatics Institute
Emerging challenges in Oncology Clinical Trials: Group discussion
How Biodata Infrastructures enable Digital Entrepreneurs
IMI - EDHEN + BD4BO- The pro’s and con’s of the different IMI projects approaches. IT and high tech aspects. Gaining insights into the technical approaches to working with Real World Data at scale. Central vs. Federated; Working to promote FAIR principles
Indexing knowlage and drugs for discovery processes
Investing in AI in Genomics and Healthcare
Rick Dewey, Senior Director, Head Of Translational Genetics, Regeneron
Is bad User Experience (UX) hindering drug discovery? What are the challenges and opportunities for UX in life science software and digital transformation?
Ronald Johnston, Director Of Product And E-Commerce, Merck Digital
Lessons learned in running an AI-enabled operation for precision medicine – privacy, policy, and technical challenges and how we overcame them
Pandu Raharja-Liu, Co-Founder and Chief Technology Officer, Panakeia Technologies Limited
Partnerships across Pharma and Tech – Deals, IP and Timelines
Georgina Kirby, Co-Founder And Chief Financial Officer, Vine Health
Powering the next generation of healthcare with Artificial Intelligence
Karen Fitzgerald, HPE NVidia Alliance Manager, Hewlett Packard Enterprise
Rare diseases and digital innovation
Sandra Almeida, Global Strategic Planning Lead, Rare Diseases And Digital, Takeda
Realising the future: overcoming barriers to the adoption of artificial intelligence in pharma R&D
Reproducibility in Bioinformatics and Big Data Analytics: Myth or Reality?
Showcases of Value and ROI with FAIR Data
Moderator:
Hans Constandt, Founding Chief Executive Officer, Ontoforce
Takeda – Data Governance and Data Sharing
Ramin Daron, Vice President, Data Architecture And Technology, Takeda Pharmaceuticals
The Challenges of Managing Increasing Volumes of Bioinformatics Data
Derek Burke, UK&I Regional Sales Manager, WekaIO
There is no AI without IA: Building a solid Information Architecture for your AI and high performance Precision Medicine
Frank Lee, Phd, Global Healthcare And Life Sciences Industry Leader, IBM Systems
Visualisation of good quality data and the pursuit of metrics to drive efficiencies in clinical trials
Konrad Olszewski, Senior It Business Relationship Manager, AstraZeneca
Wearable data and challenges around it that involve data ingestion, technology required for computation, data preprocessing and transformation and advanced analytics methods
Stephan Cichos, Principal Data Manager, Bayer
Networking Lunch
Computational insight generation from population-level data in support of drug discovery programs
Integrating IoLT and Scientific Informatics for Discovery Bioinformatics
Sidra Bioinformatics Platform: towards advancing Genomic medicine in Qatar
Afternoon Refreshments
The dark matter of cancer genomics: Identifying unrecognizable structural variants in cancer genomes
Inferring tumor targets with machine-learning augmented pathway analysis
Abuse or Mis-use of RNA-seq Data Normalization in Practical RNA-seq Data Analysis
- What does RNA-seq truly measure?
- Typical mistakes or bad practice in across-sample comparison
- Caution on integration of RNA-seq data integration
Afternoon Refreshments
Chairs remarks
Enterprise NGS platform Supporting Drug Development from Exploratory Research to Clinical Trials
Patient journey in Oncology in 2025 - Molecular tumour boards in practice
AI-Automated Small Molecule Drug Design
Data visualization using JavaScript and R.
Networking drinks reception
BIOINFORMATICS, Thursday 5 December 2019
Chair’s opening remarks
Personalised Healthcare – more than precision medicine
Unconventional Machine Learning of Genome-wide Human Cancer Data
- We evaluated several unconventional machine learning (ML) strategies on actual human tumor data and showed for the first time the efficacy of multiple annealing-based ML algorithms for classification of high-dimensional, multi-omics human cancer data from the Cancer Genome Atlas.
- To assess algorithm performance, we compared these classifiers to a variety of standard ML methods and results indicate the feasibility of using annealing-based ML to provide comparable classification of human cancer types and associated molecular subtypes and superior performance with smaller training datasets.
- Our results provide compelling empirical evidence for the potential future application of unconventional computing architectures in the biomedical sciences.
Strategies for Addressing the Challenge of Explosive Growth in Genomic Data at National Data Banks and Research Organizations
Networking Break
Roundtables
Analytical challenges with multimodal patient data: deriving drug development insights from clinico-molecular data
Gunther Jansen, Group Director, Phc Data Science Analytics, Roche
Applied modern Artificial Intelligence in Healthcare and Bioinformatics
Marc Stampfli, Business Development Manager Switzerland, NVIDIA
Benchmarks, Useful & Usable Metrics To Optimize Scientific Computing Environments
Sasha Paegle, Senior Manager – Life Science, Unstructured Data Solutions,, Dell EMC
Can patients become co-scientists in the trials of the future
Siobhan Southam, Digital Experimental Cancer Medicine Team - Strategic Engagement Leader, AstraZeneca
Data privacy sharing and analytics how technology can help
Letizia Gionfrida, Chief Executive Officer, Arthronica
Democratising Data Science
Martin-Immanuel Bittner, Co-Founder And Chief Executive Officer, Arctoris Ltd
Digital Biomarkers as endpoints in clinical trials: an opportunity for Personalised Healthcare
Christian Gossens, Digital Biomarker Informatics; Global Area Head; pRED Informatics, Roche
Educating data scientists for the pharmaceutical industry
Jake Chen, Chief Bioinformatics Officer, University of Alabama at Birmingham
EMBL-EBI working with small and medium sized bio-businesses - a brainstorm
Matt Hall, Senior Scientific Officer, E.M.B.L. European Bioinformatics Institute
How do we effectively incorporate Digital Transformation into Corporate Strategy?
Andrew Hardy, Director, Strategy and Business Development, C.S.L. Behring Gmbh
How to regulate artificial intelligence?
Catharina Bertram, Consultant For Ivd Medical Devices, Johner Institut GmbH
How Voice-Enabled Technology Could Change the Healthcare Industry
David Herzig, Scientist Of Research Informatics, Roche Pharmaceuticals
IMI - The need for data communities in Europe, and why should you care? Looking ahead to an integrated European research meeting the need for RWD in a global environment.
Rubén Villoria, Head Of Business Solutions For Health Privacy And Evidence, GMV
In-hospital use of wearable sensors
Jens Eckstein, Cmio And Chief Physician, University Hospital Basel
Intelligent use of patient level data for precision medicine - At diagnosis and with Disease management
ML in Healthcare: Best Practices - Technical Perspectives ” This will by by AAIH Technology and Standards Development
Patients tech and health – Collaboration
Andrew Warrington, Project Leader - Digital Therapeutics Domain, Novartis
Pharma moving to the cloud, how to break down barriers for IT (DHS for Pharma)
Sasha Mitrovich, Senior Principal Sales Engineer, Mark Logic
Pharma moving to the cloud, how to break down barriers for IT (DHS for Pharma)
Sasha Mitrovich, Senior Principal Sales Engineer, Mark Logic
Precision Medicine in Practice
Pushing the frontiers of AI. Accelerate your journey
Thomas Harrer, Chief Technology Officer, Ibm Distinguished Engineer, IBM Systems
Realising the future: overcoming barriers to the adoption of artificial intelligence in pharma R&D
Stop talking about the principles, start showing what FAIR really means - Gaps in IT capabilities to support FAIR data and services
Using real-world data and evidence for health technology assessments and payor decision-making – a 360° viewpoint
Wearable data and challenges around it that involve data ingestion, technology required for computation, data preprocessing and transformation and advanced analytics methods
Stephan Cichos, Principal Data Manager, Bayer
IMI Lunchtime Panel - It is now or never! Connecting data communities with clinical research communities
- Building at scale communities
- Expanding the FAIR principles in the EU
- Understanding the quid pro quo between data partners and researcher
Networking Lunch
Approaches to Federated Genomics Research
Accelerating discovery with Functional Genomics data
- Why using functional genomics?
- Challenges and opportunities in analysing large scale functional genomics data
- Examples of projects
Unlocking the potential of FAIR Data using AI
Afternoon Refreshments
Just Add Data Bio: Automating Machine Learning for Bioinformatics Predictive Analytics
Data-driven discovery at Novo Nordisk
Smart Investments in AI and Health – Driving value into hearlthcare using AI
Afternoon Refreshments
AI, Basel and the Swiss Opportunity
Close of Conference
Contact us
To sponsor or exhibit contact:
Alistair Wilmot
+44 (0)207 092 1174
alistair.wilmot@terrapinn.com
To speak:
Chris Shanks
+44 (0)207 092 1151
chris.shanks@terrapinn.com
Organiser
