Tuesday - 10th May 2022 (TimeZone BST)
- 09:30
-
Welcome Address & Platform Orientation - Orientation will focus on how to access and navigate the virtual conference platform for Live Sessions & Interactive Networking
- 09:40
-
Chairperson’s opening remarks
Gabor Purman Scientific Solutions Director
NexGen Healthcare Communications
Innovation in Pharma
- 09:50
-
From product centricity to customer centricity : How AI is transforming commercial organization ?
Florent Hassen Global Data Science & Artificial Intelligence Lead
F. Hoffmann-La Roche
- 10:15
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Executives Discussion and Debate: How AI and Machine Learning is driving value for Global Pharma
- Innovation in Big-Pharma
- AI enabled business models in R&D
- Achieving full potential of AI to boost Drug Discovery and Development
- AI has the capacity to radically reduce the uncertainty in both early and late-stage drug discovery and development
Gabor Purman Scientific Solutions Director
NexGen Healthcare Communications
Thomas Ehmer Business Technologies R&D Science and Technology - Innovation Incubator
Merck Group
Mohamed-Ramzi Temanni Scientific Director, Head of France AI & Genomics
Janssen Pharmaceuticals
Bhupathy Alagiriswamy Local Study Associate Director
AstraZeneca
- 10:50
-
Redefining research: how machine reading finds you answers - not documents
- How today's solutions can't cope with the volume of scientific data
- How machine reading delivers human-like extraction and comprehension across millions of documents
- How Causaly's knowledge graph allows users to ask complex questions for target identification across all therapeutic areas
Artur Saudabayev Co-Founder and CTO
Causaly
ML and AI based Drug Discovery
- 11:20
-
Accelerating scientific discovery: Exploring early drug discovery through Artificial intelligence
Christos Varsakelis Team Lead AI/ML Early Drug Discovery, In Silico Discovery & External Innovation
Janssen Pharmaceutical
- 11:45
-
Precision Medicine powered by AI: therapeutic target selection
- OncoSNIPER, a platform to identify and validate new therapeutic targets
- From Data generation to experimental validation
- Hybrid Artificial Intelligence
Stéphane Gerart Chief Information Officer | Head of Artificial Intelligence Business Unit
Oncodesign
- 12:10
-
Accelerating drug discovery through quantum-computing
- Analysing larger-scale molecules
- Algorithmic developments in quantum machine learning
- Offer better insights and the potential to help advance drug discovery
Thomas Ehmer Business Technologies R&D Science and Technology - Innovation Incubator
Merck Group
- 12:35
-
Virtual Luncheon & Networking - Visit Exhibitor Booths & Network with your peers in our Lounge (Face to Face Video Chats)
- 13:05
-
Contextualized Scientific Search to Power Insight and Innovation
Jeff Evernham VP of Product Strategy
Sinequa
- 13:35
-
A path forward to Prescriptive Decision Making
Ramila Peiris Director - Head of Data Science
Sanofi Pasteur
- 14:00
-
Abbvie Case Study: Machine intelligence approach for drug discovery
Abhishek Pandey Group Lead: Pharma discovery
Abbvie
Genomics and Precision Medicine
- 14:25
-
Enabling precision medicine with integrated genomic and clinical data
- Transforming the precision research value chain
- How do we implement Precision Medicine?
- How does it affect the ecosystem of healthcare?
- Future of genomics and precision medicine
Zisis Kozlakidisor Head, Laboratory Services and Biobank Groups, IARC - International Agency for Research on Cancer
World Health Organization
- 14:50
-
BioRels – A single data ecosystem for Genetic Medicines
Jérémy Desaphy Director Scientific data and informatics - Genetic Medicine
Eli Lilly and Company
- 15:15
-
Exhibitor Session
- 15:30
-
Search and text mining on FDA and EMA drug labels
Peter Henstock Machine Learning & AI Technical Lead
Pfizer
David Edelen Directory, Regulatory Solutions
Pfizer
- 16:00
-
Visit Virtual Exhibitor Booths/Speed Networking at our Exclusive Lounge (Face to Face Video chat with Exhibitors and other attendees)
Data Science, Big Data & Informatics
- 16:20
-
Harnessing the Power of Data Science – How to Design a Platform that can Deliver on your Dreams
Key aspects of establishing a successful data science platform for a Pharma company
- Strategic considerations
- Bayer’s cross-divisional data science platform
- Example use cases leveraging the platform
Stefan Schmitz Lead Product Owner Data Science Platform
Bayer
- 16:45
-
Natural Language Processing applications in Healthcare
- How can NLP support healthcare industry?
- Utilizing NLP in future clinical research
- Challenges and Limitations of NLP
Mohamed Sharaf EMEA Medical Program Lead (Immunology)
Janssen Europe, Middle East & Africa (EMEA)
- 17:10
-
AI and Machine Learning for Next Generation of Biopharmaceuticals
Per Jr. Greisen Director for Computational Drug Discovery
Novo Nordisk
- 17:35
-
Digital Transformation in Pharma
Shruthi Bharadwaj Head, Science and Technology Intelligence
Sanofi
- 18:00
-
Implementation and relevance of FAIR data principles in Pharmaceutical R&D
- Improving the efficiency and effectiveness by implementing the FAIR guiding principles for scientific data
- Tools enabling FAIR data
- Fair as a machine learning enabler
- Benefits of FAIR in pharma
Chuangkee Ong (Ck) Associate Director, Lead Information Architecture
AstraZeneca
- 18:25
-
Chairperson's Closing remarks
Gabor Purman Scientific Solutions Director
NexGen Healthcare Communications
- 18:35
-
Networking Drinks Session
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