Big Data & Oncology 

Oncology is the hot bed of drug development using big data sets. Here we will learn more from the latest studies in the space with developments of new diagnostic technologies and understanding tumour driving genes and drug targets we can develop new cures. 

 

BIG DATA & ONCOLOGY, Wednesday 4 December 2019

08:00

Registration and Refreshments

Ieuan Clay
09:20

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
Frank Lee
09:40

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
Georges Heiter
10:00

New Frontiers in Data Science – the role of automation in accelerating scientific discovery

Mathai Mammen
10:20

Redefining Research and Development in the Era of Data Science

10:40

Speed Networking

11:00

Morning refreshments

round tables
11:40

Roundtables

(click to see full list)
Accelerating operations and analytics with High Speed Data sharing across platforms and the world
Laurent Martin

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

Juan M Garcia-Gomez, Professor, Polytechnic University of Valencia

AI-driven precision nutrition for cancer prevention using Dream Labs
Jozef Youssef

Jozef Youssef, Molecular Gastronomy Chef, Imperial College London

All4IBD: a Digital Medicine Toolkit to transform care in Inflammatory Bowel Disease (IBD)
Sumu Sethi

Sumu Sethi, F. Hoffmann-La Roche Ltd

Analytical challenges with multimodal patient data: deriving drug development insights from clinico-molecular data
Gunther Jansen

Gunther Jansen, Group Director, Phc Data Science Analytics, Roche

Applying AI Enabled Digital Pathology for Biomarker Applications
Sasha Paegle

Sasha Paegle, Senior Manager – Life Science, Unstructured Data Solutions,, Dell EMC

Data collection & algorithmic training for biomedical tasks: utilisation and strategies
Anastasia Georgievskaya

Anastasia Georgievskaya, General Manager, Haut.AI

Data Lakes, Getting data ready for analytics, and Personalized Health Data
Martin Preusse

Martin Preusse, Chief Executive Officer, Kaiser & Preusse

Data privacy and the future of health data
Nicola Orlandi

Nicola Orlandi, Data privacy, Novartis

Design thinking: Driving forwards innovation in pharmaceuticals
Hermann Tribukait

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
Pablo Botas

Pablo Botas, Head Of Science, Foundation 29

Digital Biomarkers as endpoints in clinical trials: an opportunity for Personalised Healthcare
Christian Gossens

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

Matt Hall, Senior Scientific Officer, E.M.B.L. European Bioinformatics Institute

Emerging challenges in Oncology Clinical Trials: Group discussion
Mark Philhower

Mark Philhower, Senior Director, NTT DATA

Enabling R&D via Clinical Trial data sharing
Kees Van Bochove

Kees Van Bochove, Founder, The Hyve

How big data is effecting precision oncology
Federico Comoglio

Federico Comoglio, Staff Scientist, University of Bern

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
John Gallacher

John Gallacher, Pi And Director, Dementias Platform Uk, Professor Of Cognitive Health, University of Oxford

Indexing knowlage and drugs for discovery processes
Ian Wetherbee

Ian Wetherbee, Senior Software Engineer, Google Inc

Investment in AI and Healthcare in China
Vibhor Gupta

Vibhor Gupta, Director And Founder, Pangaea Data

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

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

Pandu Raharja-Liu, Co-Founder and Chief Technology Officer, Panakeia Technologies Limited

Partnerships across Pharma and Tech – Deals, IP and Timelines
Georgina Kirby

Georgina Kirby, Co-Founder And Chief Financial Officer, Vine Health

Powering the next generation of healthcare with Artificial Intelligence
Karen Fitzgerald

Karen Fitzgerald, HPE NVidia Alliance Manager, Hewlett Packard Enterprise

Realising the future: overcoming barriers to the adoption of artificial intelligence in pharma R&D
Asif Jan

Asif Jan, Group Head of Analytics, Hoffmann-La Roche

Reproducibility in Bioinformatics and Big Data Analytics: Myth or Reality?
Raffaele Calogero

Raffaele Calogero, Professor, University of Torino

Showcases of Value and ROI with FAIR Data
Hans Constandt

Moderator:
Hans Constandt, Founding Chief Executive Officer, Ontoforce

The Challenges of Managing Increasing Volumes of Bioinformatics Data
Derek Burke

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

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
Stephen Pire

Stephen Pire, Global Study Leader, AstraZeneca

Wearable data and challenges around it that involve data ingestion, technology required for computation, data preprocessing and transformation and advanced analytics methods
Paolo Piraino

Paolo Piraino, Head Of Genomics And Biomarker Statistics, Bayer

12:30

Networking Lunch

Peter Goodhand
BIG DATA & ONCOLOGY
13:35

Making Data Clinically Relevant

Adrian Cassidy
BIG DATA & ONCOLOGY
13:55

What does Big Data mean in a world of Precision Oncology?

BIG DATA & ONCOLOGY
14:15

Q&A

14:35

Afternoon Refreshments

Arndt Schmitz
Jonathan Woodsmith
BIG DATA & ONCOLOGY
15:30

IndivuType, a global multi-omics database for precision oncology

Lauren Becnel
BIG DATA & ONCOLOGY
15:50

Oncology and leveraging health systems and precision medicine

16:10

Afternoon Refreshments

James Creeden
BIG DATA & ONCOLOGY
17:55

CGDB: linking deep genomic profiling and longitudinal real-world data for research, regulatory submissions and a view toward enhanced clinical decision support

18:15

Networking drinks reception

last published: 09/Dec/19 09:25

BIG DATA & ONCOLOGY, Thursday 5 December 2019

Niko Andre
08:30

Personalised Healthcare – more than precision medicine

Tom Chittenden
09:40

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.
Barbara Murphy
10:00

Strategies for Addressing the Challenge of Explosive Growth in Genomic Data at National Data Banks and Research Organizations

The amount of genomic data generated is doubling ever 7 months, creating a huge nightmare for the people who have to manage and preserve critical data for long term curation.National projects - like the 100,000 genome project - provide hope for a lasting cure for genetic diseases that affect a common population. But managing data at this scale and providing a way to harness the un-discovered gems of information is a daunting task for institutions, as genomic research is tightly coupled with the underlying IT infrastructure.This talk will outline key considerations for managing genomic data at scale while ensuring fastest time to discovery outcomes. It will walk through a case study at a Genomics England to demonstrate the challenges they faced, and outcome achieved with a modern data storage and management approach.
11:05

Networking Break

round tables
11:40

Roundtables

(Click to see full list)
Analytical challenges with multimodal patient data: deriving drug development insights from clinico-molecular data
Gunther Jansen

Gunther Jansen, Group Director, Phc Data Science Analytics, Roche

Applied modern Artificial Intelligence in Healthcare and Bioinformatics
Marc Stampfli

Marc Stampfli, Business Development Manager Switzerland, NVIDIA

Benchmarks, Useful & Usable Metrics To Optimize Scientific Computing Environments
Sasha Paegle

Sasha Paegle, Senior Manager – Life Science, Unstructured Data Solutions,, Dell EMC

Can patients become co-scientists in the trials of the future
Siobhan Southam

Siobhan Southam, Digital Experimental Cancer Medicine Team - Strategic Engagement Leader, AstraZeneca

Data privacy sharing and analytics how technology can help
Letizia Gionfrida

Letizia Gionfrida, Chief Executive Officer, Arthronica

Digital Biomarkers as endpoints in clinical trials: an opportunity for Personalised Healthcare
Christian Gossens

Christian Gossens, Digital Biomarker Informatics; Global Area Head; pRED Informatics, Roche

Digital Transformation of Health Care
Markus Mäkelä

Markus Mäkelä, Co-Founder, PredictCare LLC

Educating data scientists for the pharmaceutical industry
Jake Chen

Jake Chen, Chief Bioinformatics Officer, University of Alabama at Birmingham

EMBL-EBI working with small and medium sized bio-businesses - a brainstorm
Matt Hall

Matt Hall, Senior Scientific Officer, E.M.B.L. European Bioinformatics Institute

How do we effectively incorporate Digital Transformation into Corporate Strategy?
Andrew Hardy

Andrew Hardy, Director, Strategy and Business Development, C.S.L. Behring Gmbh

How Voice-Enabled Technology Could Change the Healthcare Industry
David Herzig

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.
Kiliana Suzart-Woischnik

Kiliana Suzart-Woischnik, Epidemiology Director, Bayer

Intelligent use of patient level data for precision medicine - At diagnosis and with Disease management
Vipul Modi

Vipul Modi, Head Of Transformation For Innovation, Digital And Life Sciences, Oxford Academic Health Science Network

ML in Healthcare: Best Practices - Technical Perspectives ” This will by by AAIH Technology and Standards Development
Pharma moving to the cloud, how to break down barriers for IT (DHS for Pharma)
Sasha Mitrovich

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

Sasha Mitrovich, Senior Principal Sales Engineer, Mark Logic

Point of Care Diagnostics
Miron Tokarski

Miron Tokarski, Chief Executive Officer, Genomtec

Realising the future: overcoming barriers to the adoption of artificial intelligence in pharma R&D
Asif Jan

Asif Jan, Group Head of Analytics, Hoffmann-La Roche

Stop talking about the principles, start showing what FAIR really means - Gaps in IT capabilities to support FAIR data and services
Martin Romacker

Martin Romacker, Data And Information Architect, roche

Using real-world data and evidence for health technology assessments and payor decision-making – a 360° viewpoint
Sanja Njegic

Sanja Njegic, Global Head of Patient Partnership with Roche, Product Development Medical Affairs, Roche

Wearable data and challenges around it that involve data ingestion, technology required for computation, data preprocessing and transformation and advanced analytics methods
Stephan Cichos

Stephan Cichos, Principal Data Manager, Bayer

Colm Carroll
12:30

IMI Lunchtime Panel - It is now or never! Connecting data communities with clinical research communities

How do we link research interests at scale and across data permeable borders in Europe? Building at scale communities; Expanding the FAIR principles in the EU; Understanding the quid pro quo between data partners and researchers.
  • Building at scale communities
  • Expanding the FAIR principles in the EU
  • Understanding the quid pro quo between data partners and researcher
12:30

Networking Lunch

14:35

Afternoon Refreshments

16:30

Afternoon Refreshments

18:05

Close of Conference

last published: 09/Dec/19 09:25

 

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