Wednesday - 10th May 2023
- 08:30
-
Registration & Refreshments
- 08:50
-
Chairperson’s opening remarks
Innovation in Pharma
- 09:00
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Accelerating Digital Transformation in Pharma
- Company leadership and transformation
- Need for communication specialists and up-to-date technologies
- Hiring digital experts and collaborations
- The need to be really quick in transforming at every level
Umair Aslam Customer Engagement Lead, Oncology
MSD
- 09:30
-
Quantum Computing for Drug Discovery - Fact or Fiction?
Ian Pepper Director Technology Innovation
Novartis
- 10:00
-
Executives Discussion and Debate: How Global Pharma is using AI and Machine Learning for success?
- 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
Thierry Dorval Head of Data Sciences & Data Management
Servier
- 10:30
-
Morning Coffee/Tea & Networking
- 10:50
-
External Data Acquisition: How to build a Commercial Data Strategy from scratch ?
- What are the benefits for your organization?
- Which strategies for efficient collaboration ?
- How to measure success ?
- The challenge of data awareness
- Make or buy ?
Florent Hassen Global Data Science & Artificial Intelligence Lead
F. Hoffmann-La Roche
AI and ML 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
- 11:40
-
Quantum computing use cases from drug discovery/drug development in pharma
For sponsorship opportunities please contact: sponsor@corvusglobalevents.com or call +44 (0) 207 096 0786
- 12:00
-
Combining robotics and AI for data-driven drug discovery
Martin-Immanuel Bittner Co-founder & CEO
Arctoris
- 12:30
-
Maximizing Drug Discovery Success with Machine Learning
- Using machine learning to integrate distinct, bigger datasets created from high throughput screening data can provide a path to predict bioactivities for targets and molecular properties with increased levels of accuracy
- Broader applicability of machine learning and the potential to change the drug development paradigm
- ML tools that can improve discovery and decision making
Peter Henstock Machine Learning & AI Technical Lead
Pfizer
- 12:50
-
Networking luncheon
Genomics and Precision Medicine
- 13:30
-
Combining data for precision health
Andy Cachaldora General Manager Digital Service Northern Europe
GE Healthcare
- 14:00
-
Enabling precision medicine with integrated genomic and clinical data
- Transforming the entire pharmaceutical value chain
- How do we implement Precision Medicine in the Real World?
- How does it affect the ecosystem of healthcare?
- Future of genomics and precision medicine
For sponsorship opportunities please contact: sponsor@corvusglobalevents.com or call +44 (0) 207 096 0786
- 14:30
-
Genomics England Multimodal cancer research platform
Prabhu Arumugam Director of Clinical Data and Imaging
Genomics England
- 15:00
-
Afternoon Tea/Coffee
Data Science, Big Data & Informatics
- 15:20
-
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
Chuang Kee Ong Associate Director, Lead Information Architecture
AstraZeneca
- 15:50
-
Translational drug informatics platform
- Importance of Translational informatics platform in R&D
- Why is it necessary to adopt TI in the resource –constrained world
- Challenges ahead and moving forward
- 16:20
-
data42: Accelerating insights from connected data to achieve greater value for patients
Peter Speyer Head of Customer Success, data42
Novartis
- 16:50
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Coordination and Optimisation of internal drug development data alongside external data sources
Thierry Dorval Head of Data Sciences & Data Management
Servier
- 17:20
-
Round Table Discussion
All the participants will have a great opportunity to discuss and explore a selection of most interesting topics discussed during the conference in small groups with their industry colleagues in an informal setting.
Each table will nominate a head who will summarise the discussion and questions posed. The group members are given equal rights to share and learn from each other's experiences to discover an actionable solution on the discussed topic.
- 17:50
-
Closing remarks
- 18:00
-
Networking Drinks Session
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+44 (0) 207 096
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