Mobile Agenda

Cambridge, 2 - 3 November 2017

Schedule

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Nov 208:55
Conference pass
Nov 209:00
Conference pass

Update on AstraZeneca’s Integrated Genomics Initiative

Keynotes
Nov 209:20
Conference pass

Experimental and computational platforms at Verily Life Sciences

Keynotes
Mauricio Carneiro, Head of Scientific Software, Verily (Google Life Sciences)
Nov 211:00
Conference pass

Building more predictive and interpretable in silico models of in vivo drug response via model complexity control

Keynotes
  • Hear an overview of how the high dimensionality of pharmacogenomics data hampers the discovery of complex molecular markers
  • Gain an understanding of ways to improve the performance of machine learning algorithms on high-dimensional data in the context of precision oncology
  • Examine how to assess which molecular profiles are most predictive of PDX response depending on treatment and cancer type
Pedro Ballester, group leader, INSERM
Nov 211:20
Conference pass

Atos System Design and Optimization Efforts of the BIGstack Genomics Software Suite

Keynotes
Michael McManus, Senior Health & Life Sciences Solution Architect, Intel Corporation
Nov 214:15
Conference pass
Nov 214:15
Conference pass

Chair's remarks

Data Computing & Processing/BioData of the Future
Nov 214:15
Conference pass

Chair's remarks

Transforming Big Data into Smart Data
Nov 214:15
Conference pass

Chair's remarks

Data Discovery & Generation/Innovation Showcase/Population & Public Health
Nov 214:20
Conference pass

Case Study: Federated In-Memory Database System (FIMDB)

Data Computing & Processing/BioData of the Future
  • Overview of this platform that boasts the benefits of a public cloud but with private processing capabilities
  • Explore the technical foundations of this platform that combines integrated data processing and real-time data analysis
  • In what way was there unmet need for such a managed service within academia internationally?
Nov 214:20
Conference pass

Integrating proteomics in precision medicine

Data Storage & Management
  • Gain an understanding of the role proteomics is playing in precision medicine, and their benefits beyond genomics
  • Best practices in integrating multi-omics data
  • Explore the latest developments within mass spectrometry methods
Nov 214:20
Conference pass

Collecting and storing standardised clinical data within rare diseases

Transforming Big Data into Smart Data
  • How has working within rare diseases forced a more progressive approach to biodata?
  • What role has automation played throughout the rare disease analysis pipeline?
  • What are some of the challenges integrating genomic and clinical data from a standardisation perspective?
Nov 214:20
Conference pass

Standardising data capture

Data Discovery & Generation/Innovation Showcase/Population & Public Health
  • How does the biodata community need to come together to standardise the language used in data capture?
  • How does this differ between genomic and clinical data?
  • What role does incentivising data generators play in the standardisation of the data captured?
Nov 214:40
Conference pass

Lessons learnt from implementing a cloud initiative in pharma

Data Computing & Processing/BioData of the Future
  • What have been some of the major bottlenecks encountered when moving into the cloud?
  • Best practices in engaging the research side with the IT side of a pharma business to ensure a successful transition into the cloud
  • How do you best consider the business strategy in line with the IT agenda in order to enable and elevate the pharma business to its greatest potential?
Kai-Gerhard Bosch, Cloud/Emerging Technology Architect, Merck KGaA
Nov 214:40
Conference pass

Infrastructure development for Europe’s human genomics data

Data Storage & Management
  • Gain an understanding of human data discovery through ELIXIR Beacon project
  • Challenges in managing human genomics data in rare diseases and common complex diseases - working across different countries and multiple institutions
  • How can this infrastructure enable new insights leading to improved healthcare outcomes?
Nov 214:40
Conference pass

The role of data in drug repurposing for rare diseases

Transforming Big Data into Smart Data
  • Delve into the role data has played in the ability to repurpose existing drugs for treating rare diseases
  • How does machine learning along with biodata analysis enable these drugs to be matched with diseases?
  • What’s next for this approach?
Nov 214:40
Conference pass

Data capture methods for long-term robustness and authentication

Data Discovery & Generation/Innovation Showcase/Population & Public Health
  • A model to enable anonymous aggregated analysis of federated data
  • A strategy for long-term data management
  • Authentication using Blockchain for data capture & other pipeline processes 
Nov 215:00
Conference pass

Using the cloud in drug discovery and design

Data Computing & Processing/BioData of the Future
  • Examine how the cloud is being used to computationally design new drugs
  • How does this method differ from more traditional drug discovery methods and what are the benefits?
  • What does the future look like for the combination of AI and cloud computing in the drug discovery space?
Nov 215:00
Conference pass

Genomic data sharing and integration for clinical applications

Data Storage & Management
  • Insights into drivers and barriers to genomic data sharing and integration in the NHS
  • What is the clinical necessity?
  • What are some of the ethical and legal dimensions?
Nov 215:00
Conference pass

Making Genetic Testing part of mainstream healthcare with Artificial Intelligence

Transforming Big Data into Smart Data
Nov 215:00
Conference pass

Biobanks as a data resource

Data Discovery & Generation/Innovation Showcase/Population & Public Health
  • Hear an overview of the current status of biobanking and how they consume data
  • What are some of the challenges around getting clinical sample data, a different kind of big data?
  • What role do biobanks play with regards to data linkage and anonymization?
Phil Quinlan, Director, UKCRC Tissue Directory and Coordination Centre
Nov 215:20
Conference pass

The Automated Data Scientist

Data Storage & Management
  • Gain an understanding of ways to curate and weave complex data types to make them useful for analysis?
  • What have been some of the major challenges to overcome when working with biological, clinical and RWE data sets?
  • What role does automation play in data curation?
Nov 215:20
Conference pass

Faster Results to Discovery: Adding High-Speed Data Transfer to your Cloud Applications

Data Computing & Processing/BioData of the Future
  • Moving big data to the cloud for collaborative research and pharma applications is nearly impossible over the internet and shipping hard drives is a risky alternative
  • Learn how IBM Aspera high-speed transfer software makes it possible securely move data of any size to the cloud at speeds 100s of times faster than other solutions
  • Explore best practices from organizations like BGI and Bluebee High Performance Genomics that use Aspera to accelerate critical cloud-based research and bioinformatics
Per Hansen, Regional Manager Sales Engineering, Aspera, an IBM company
Nov 215:20
Conference pass

Cognitive Search & Analytics: Building a next-generation search platform for biodata to

Data Discovery & Generation/Innovation Showcase/Population & Public Health
  • Overcome the challenges of working with large, diverse datasets, of both structured and unstructured, from internal and external sources within pharmaceutical R&D
  • Enable Pharma companies accelerate research and shorten Drug Time-to-Market
  • Drive innovation within research whilst maintaining information governance and security 
Dominique Raimbaux, UK Regional Sales Manager, Sinequa
Nov 215:20
Conference pass

The role of biodata from rare disease discovery to clinical application

Transforming Big Data into Smart Data
  • How is the growth in precision medicine and biodata helping to accelerate progress in the development of treatment for rare diseases?
  • Where are there still pitfalls in rare disease data that can be addressed?
  • What is the biggest opportunity moving forward for biodata and rare diseases?
Vishal Sahni, Rare Diseases, GSK
Nov 216:20
Conference pass

Chair's remarks

Data Storage & Management
Nov 216:20
Conference pass

Chair's remarks

Data Computing & Processing/BioData of the Future
Sean Ennis, Research & Analytics, Founder, Genomics Medicine Ireland
Nov 216:20
Conference pass

Chair's remarks

Transforming Big Data into Smart Data
Mark Ibberson, Bioinformatics Scientist, Vital-IT, Swiss Institute of Bioinformatics
Nov 216:25
Conference pass

Case Study: Open Targets

Data Storage & Management
  • Hear about the new data being generated as part of the Open Targets public-private initiative
  • Update on the bioinformatics platform
  • What is the progress being made in experimental data and how are they integrating that data into the platform?
Nov 216:25
Conference pass

Highly scalable NGS data processing between research and clinic

Data Computing & Processing/BioData of the Future
  • Gain an understanding of how the QuickNGS and CancerSysDB platforms achieve highest throughput in NGS applications, ranging from basic research to clinical investigation
  • Hear how this highly scalable approach can crunch large-scale study population data and facilitates timely analyses of patients' personal genomes
  • Review challenges including the appropriate deal with national rules for personal data protection, uninterrupted availability of HPC resources, and maintenance of highly complex analysis codes
Nov 216:25
Conference pass

Renal virtual clinics and online monitoring of kidney disease

Transforming Big Data into Smart Data
  • Updates on collecting data from patients doing dialysis at home and from a virtual clinic
  • Lessons learnt from this format of data collection that can be applied across other therapeutic areas
  • Explore clinical benefits being seen as a result of this data
Nov 216:45
Conference pass

Data-sharing across borders: A Nordic case study

Data Storage & Management
  • What are some of the ethical, legal and technical issues encountered in sharing data across Nordic borders, and what are possible solutions?
  • Lessons learnt from both the Nordic Network and the BigMed Project that can be applied in other geographies
  • Exploring the value of the third party role in data sharing
Nov 216:45
Conference pass

Adoption of NGS in the Mayo Clinic

Data Computing & Processing/BioData of the Future
  • Insights from a leading clinic as to where NGS is going within healthcare
  • Review of MP-Seq as a powerful clinical tool
  • With all the tools Mayo Clinic has, why are they not doing genomes?
Nov 216:45
Conference pass

On Biomarker Discovery

Transforming Big Data into Smart Data
  • Analysis roadmap
  • Systematic validation of early findings
  • Biomarker validation approaches 
Nov 217:05
Conference pass

How to analyse large virtual cohort of distributed Biomedical data

Data Storage & Management
  • Access and search petabytes of public and private data sets
  • Build a desired cohort using multiple data sources with different custodians, access rules, and locations
  • Project data in the form expected by your analysis application
  • Run analytics anywhere with apps and data that are interoperable and technology independent
Nov 217:05
Conference pass

Benefits of whole genome cohort migration to GRCh38

Data Computing & Processing/BioData of the Future
  • What are the key considerations around performance, storage and quality?
  • Review best practices in working at scale with large cohorts of whole genome data
  • What yield can you expect when using GRCh38?
Johannes Karten, Chief Technology Officer, GENALICE
Nov 217:05
Conference pass

Case Study: Moorfields Eye Hospital – DeepMind Health Collaboration

Transforming Big Data into Smart Data
  • Hear an overview of the collaboration where they are training an algorithm to diagnose retinal diseases
  • What have been some of the challenges to overcome within this particular project?
  • What are the biggest opportunities on offer by using AI technology within ophthalmology?
Nov 217:25
Conference pass

Realising the potential of big data through multi-national open-source data sharing

Data Storage & Management
  • Update on the work EMBL-EBI are undertaking
  • Why is it important to have multi-national open-source data sharing platforms within biodata?
  • What are some of the implementation challenges around national rules and regulations, governance and project funding?
Nov 217:25
Conference pass

Case Study: Diabetes

Transforming Big Data into Smart Data
Mark Ibberson, Bioinformatics Scientist, Vital-IT, Swiss Institute of Bioinformatics
Nov 217:25
Conference pass

Project MinE: an international whole-genome sequencing study (22’500 samples) in amyotrophic lateral sclerosis

Data Computing & Processing/BioData of the Future
  • What is ALS/MND? A brief introduction to this devastating disease and its genetics 
  • What is Project MinE? Consortium design, data infrastructure and analysis 
  • Preliminary results, future prospectives and role in both the international genetic research and population health
Alfredo Iacoangeli, postdoctoral researcher, King's College London

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Nov 308:55
Conference pass

Chairman’s remarks and recap of Day 1

Keynotes
Nov 309:00
Conference pass

Keynote Interview – Healthcare & Data: Implementing the NHS patient “data hubs”

Keynotes
Nov 309:40
Conference pass

Panel: Data Security & Protection: Where is the patient in all of this?

Keynotes
  • How do you engage people? What innovative approaches can be used to engage the public? Social media? Lessons learnt from social services and education outreach programmes.
  • How do diverse communities feel about sharing their data?
  • What is realistic in terms of patients’ knowledge of how their medical data is being used in research?
  • Discussions around ‘consent’ or ‘opt-out’
Nov 311:00
Conference pass
Nov 311:00
Conference pass
Nov 311:00
Conference pass

Chair's remarks

Transforming Big Data into Smart Data
Nov 311:00
Conference pass

Chair's remarks

Data Discovery & Generation/Innovation Showcase/Population & Public Health
Karen Temple, Professor of Medical Genetics within Medicine, NHS England
Nov 311:05
Conference pass

Governance requirements for electronic health records and reuse for research

Data Storage & Management
  • Ethical, privacy protection and governance requirements for electronic health record architectures and systems
  • What challenges to this privacy protection does research use pose?
  • How can clinical research make use of interoperable electronic health records in a trustworthy way?
Nov 311:05
Conference pass

Setting the computational standard for scalable genomics and personalised medicine analysis

Data Computing & Processing/BioData of the Future
  • Gain insight into the work being done to create a standard computational method for HPC at a time when genomics data is growing
  • What hurdles were met during development?
  • What opportunities does this standard present to the biodata sector?
Nov 311:05
Conference pass

Understanding disease outcomes with biodata

Data Discovery & Generation/Innovation Showcase/Population & Public Health
  • Gain an understanding of how biodata is assisting epidemiology studies within drug development and equally drug failures
  • What are some of the challenges around availability of data when looking at real world evidence and disease outcomes?
  • How have population centric phenotypic data helped within this approach?
Nov 311:05
Conference pass

Case Study: Translational bioinformatics in oncology

Transforming Big Data into Smart Data
  • What translational bioinformatics is in an academic and multidisciplinary environment within the field of oncology
  • What are some of the strategies, issues and bottlenecks encountered during recent studies?
  • Review a platform developed for NGS automated data management
Nov 311:25
Conference pass

Data privacy requirements in pharma

Data Storage & Management
  • Review challenges faced by pharma companies in data privacy
  • How do you continue to push scientific development and innovation whilst maintaining adequate data protection measures?
  • How does data privacy sit with the pharma business strategy as a whole?
Nicola Orlandi, Head Data Privacy Pharma, Novartis
Nov 311:25
Conference pass

How artificial intelligence is innovating drug discovery and development

Data Computing & Processing/BioData of the Future
  • Gain an understanding of how medical research is seeing rapid transformation driven by an explosion in data and advances in AI
  • How is BenevolentAI’s approach, of identifying and developing novel products and novel uses of existing products, taking advantage of existing data sets, and the need to access and re-evaluate pharmaceutical databases?
  • What are the main benefits of this AI-based approach to a drug discovery pipeline: time, attrition, financial, and for patients?
Nov 311:25
Conference pass

Link between population-level epidemiology and genetic data

Data Discovery & Generation/Innovation Showcase/Population & Public Health
  • What can you learn from linking population-level EHRs and genetic data?
  • How can you use other technologies to better understand a disease, such as wearables and other data systems, to track and manage people over time?
  • How do you overcome the challenge of finding the longitudinal phenotypic data required for these studies?
Nov 311:25
Conference pass

Biodata and research into brain tumours

Transforming Big Data into Smart Data
  • Is big data an opportunity or challenge for research into brain tumours?
  • How can those affected by brain tumours lead us on use of their data?
  • How can biobanking help advance developments within this space?
Nov 311:45
Conference pass

Prediction of novel therapeutic targets using an innovative data approach

Data Computing & Processing/BioData of the Future
  • Gain a better understanding of the challenges around target identification and validation
  • Review a semi-supervised classification approach to explore whether gene – disease association data is sufficient to predict therapeutic targets 
  • Investigate how a neural network is able to predict therapeutic targets with over 70% accuracy demonstrating that disease association is predictive of the ability of a gene or a protein to work as a drug target
Nov 311:45
Conference pass

Microbial bioinformatics and epidemiology

Data Discovery & Generation/Innovation Showcase/Population & Public Health
  • Gain an understanding of advancements in software development and data analysis within the field of microbial bioinformatics
  • How is biodata specifically working towards combatting anti-microbial resistance?
  • What new methods and technologies are being developed within the microbial bioinformatics space?
Owen Lancaster, Bioinformatics and Epidemiology Analyst, Public Health England
Nov 311:45
Conference pass

Integrating knowledge biocuration with computational biology in cancer

Transforming Big Data into Smart Data
  • Hear an overview of the biocuration-based activities being undertaken by the SIB Swiss Institute of Bioinformatics in the field of cancer
  • Best practices for transforming big data into smart data within this research and development field
  • Gain insights into biota analytics for drug repurposing in immunotherapy
Nov 312:05
Conference pass

Industrialized infrastructure for patient insight – technical advances and organizational barriers

Data Storage & Management
  • The promise of expansive clinical-omics patient data to drive medical research has been hampered by lack of scalable technology platforms
  • Via case studies, and across capabilities from privacy preservation to machine learning, we examine the state of the art in BigData platforms
  • Beyond technology constraints, the session discusses other barriers and stakeholders attitudes, that help or hinder progress   
Nov 312:05
Conference pass

Integrative Informatics: How to bring semantic and tabular data together to drive insight

Data Computing & Processing/BioData of the Future
Nov 313:40
Conference pass
Nov 313:40
Conference pass

Chair's remarks

Data Computing & Processing/BioData of the Future
Nov 313:40
Conference pass
Nov 313:40
Conference pass

Chair's remarks

Data Discovery & Generation/Innovation Showcase/Population & Public Health
Karen Temple, Professor of Medical Genetics within Medicine, NHS England
Nov 313:45
Conference pass

Integration of RWE data in the evaluation of clinical probability of success via clinical trial simulation

Data Storage & Management
  • Best practices in modelling to incorporate different data sets
  • Hear a case study of this application within diabetes
  • Examine how to create an Integrated Data
Nov 313:45
Conference pass

Lessons learnt from changing clinical pathways to embed genomic testing

Transforming Big Data into Smart Data
  • How do we work with hospitals to embed genomic testing in clinical pathways where appropriate?
  • What tools are needed by healthcare to adopt?
  • What is the clinical impact of this change, including impact on cost and value?
Nov 313:45
Conference pass

AI methodologies and optimisation within childhood cancer

Data Computing & Processing/BioData of the Future
  • Insights into big data analytics on the causation of a rare childhood cancer
  • How is this enabling drug discovery for this particular patient cohort?
  • Investigate methods used to identify drug responses from each patient within that same cohort
Nov 313:45
Conference pass

The role of bioinformatics in fighting infectious diseases

Data Discovery & Generation/Innovation Showcase/Population & Public Health
  • Hear how bioinformatics tools are being used for pathogen identification and typing, as well as pathogenicity and virulence within infectious diseases
  • How is this research helping to identify and combat antimicrobial resistance?
  • Gain an understanding of applications for bioinformatics within infectious diseases: drug resistance testing, pathogen-host interaction, infection and treatment outcomes
Nov 314:05
Conference pass

“How to eat the elephant”: A review of information architecture

Data Storage & Management
  • How do you make information architecture a priority in corporate environments and deliver immediate impact?
  • Insights into a structured approach to overcome the core challenges of large enterprises to build key data assets
  • Best practices in applying this to a pharmaceutical R&D business
Nov 314:05
Conference pass

Case Study: Connected Health Cities and the ‘Learning Health System’

Transforming Big Data into Smart Data
  • Explore how this project unites health data and technology to improve health services in Northern England
  • Review how applications of advanced data analytics have provided more efficient processes and improved public health to patients
  • What are some of the lessons learnt that can be applied elsewhere in the UK and the rest of the world?
Tjeerd Van Staa, Professor in Health e-Research, The University of Manchester
Nov 314:05
Conference pass

Artificial intelligence & machine learning applications in clinical development: Present & future

Data Computing & Processing/BioData of the Future
  • Gain insights into machine learning as applied to the intelligent mining of clinical trials data and examine predictive analytics to refine the operational execution of drug development
  • What are some of the challenges & opportunities presented by the burgeoning role of technology in clinical research?
  • Consider the future: How AI might be used in years to come?
Nov 314:05
Conference pass

"Predictive Prevention"

Data Discovery & Generation/Innovation Showcase/Population & Public Health
  • Learn about how the Data for Good Foundation is collecting patient data for research on top of personal data storage
  • What is the dynamic around data ownership and governance?
  • How are the foundation interacting with both health and behaviour data?
Claus Nielsen, Public Affairs, Personal Connected Health Alliance
Nov 314:25
Conference pass

Do you have what it takes to build a biodata ecosystem for your enterprise?

Data Storage & Management
  • User cases in pharma and consumer good companies that show case collaborative ecosystems
  • Building a biological data, tools and knowledge informatics ecosystem for innovation and collaboration
  • How to manage metadata and data provenance 
Nov 314:25
Conference pass

Using AI to diagnose rare diseases

Transforming Big Data into Smart Data
  • Hear an overview of how AI is helping review patient records and medical literature to generate a series of ranked diagnoses
  • What have been some of the lessons learnt and challenges overcome?
  • Does working with rare diseases alter data protocols and practices at all?
Nov 314:25
Conference pass

Machine learning for medical image analysis

Data Computing & Processing/BioData of the Future
  • Hear how machine learning techniques are being applied to the automatic interpretation of medical imaging
  • What are the benefits of using these techniques within the radiology setting?
  • Where else could these algorithms be applied?
Nov 314:25
Conference pass

Using biodata to understand the causes of disease as a basis of disease prevention

Data Discovery & Generation/Innovation Showcase/Population & Public Health
  • Explore how population-based studies are enabling strategies for prevention
  • Investigate methodologies that can be applied to biobanks and population-based cohorts when studying disease prevention
  • Best practices in overcoming challenges with global coverage and international collaborations
Akram Ghantous, Scientist, International Agency For Research On Cancer
Nov 314:45
Conference pass

How to manage data in a more structured way

Data Storage & Management
  • Update into Roche’s data management and workflow management strategy
  • What have been some of the challenges rolling it out?
  • How has been accepted by the scientists using the platform?
Nov 314:45
Conference pass

Novel feature selection strategies for enhanced predictive modelling and deep learning in the biosciences

Data Computing & Processing/BioData of the Future
  • Gain an understanding of how WuXi NextCODE’s robust AI method is helping advance personalised medicine
  • How do their various advanced deepCODE AI tools expand the understanding of the underlying molecular determinants of human cancer?
  • What are these support systems and research tools enabling for the research communities working in this space?
Nov 315:08
Conference pass
Nov 315:10
Conference pass

Panel: The Future of Big Data within Life Sciences

Keynotes
  • Where are we going with biodata? What is the sense of direction?
  • What will be the dynamic between biodata and clinical data?
  • What role will we see alternative sources of data (such as behavioural or environmental data) and new technologies (such as nanotechnology and wearable) play in their interaction with biodata?
  • What is the role of AI and machine learning in all of this?
  • Forward looking perspectives on population-based health studies within biodata. What will the interface be between real world data/ real world evidence and genomics? Will this help to better inform precision medicine moving forward?
last published: 23/Oct/17 16:05 GMT