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Free Online Event | 6, 7 and 8 July 2021
Leveraging data to reduce the cost, time to market
and failure rate of the traditional drug discovery process
and failure rate of the traditional drug discovery process
It is a commonly quoted statistic that the average cost to bring a new drug to market is 2.6bn, and that only 10% of drug candidates make it to market after phase 1 trials.
Given its potential to spot patterns that would take researches significantly longer to do, Artificial Intelligence has the potential to both accelerate and reduce the cost of discovering new drugs.
With that in mind, PharmaIQ Live: Transforming Drug Discovery through AI will be focused on:
Given its potential to spot patterns that would take researches significantly longer to do, Artificial Intelligence has the potential to both accelerate and reduce the cost of discovering new drugs.
With that in mind, PharmaIQ Live: Transforming Drug Discovery through AI will be focused on:
- Target identification – combing existing data to identify potential drug targets
- Compounds – identifying existing compounds that might prove useful, ruling out those with undesirable characteristics and predicting the properties of potential compounds
- Data integration – effectively integrating data from disparate sources such as patient data, research papers to identify patterns and opportunities
- Enhancing efficiency – by removing the burden of high volume, low value tasks in the lab
- Training – upskilling existing drug development scientists on how best to use AI to best effect
Transforming Drug Discovery through AI Agenda 2021
DAY ONE l 6th July 2021
09.00am EST Dotmatics Platform & Adventures in AIDan Ormsby, Senior Consultant, Dotmatics
10.00am EST How Tech Has Been Adopted to Enable Companies to Transfer to Digital
Haydn Boehm, Head of Commercial Marketing -Connected Lab, Merck Life Science
Dr. Emma Gardener, Manager, Sales and Marketing Cheminformatics Technologies, Merck Life Science
Annette Hellbach, Director, Head of Science Enablement Tools, Merck Life Science
11.00am EST Transforming Protein Engineering Through AI Enabled Smart Connected Labs
Session Reserved for Ben Miles, Ph.D., Head of Product, Strateos
Philip Romero, Ph.D., Assistant Professor UW-Madison
Jacob Rapp, Graduate Student UW-Madison
DAY TWO l 7th July 2021
9.00am EST Fireside chat: The Honest Truth about the challenges associated with Implementing AI in Drug Discovery
Christos Varsakelis, Team Lead, Artificial Intelligence and Machine Learning, J&J
10.00am EST Join the digital transformation revolution by democratizing the use of advanced analytics!
Alberto Pascual, Director of Data Science and Analytics, IDBS
11.00am EST How can scientists accelerate drug design and biologics formulation using molecular modelling and machine learning?
Session Reserved for Tien Luu, Product Manager and Principal Scientific Specialist, and Anne Groupil-Lamy, Principal Field Application Scientist and Science Council Fellow BIOVIA at Dassault Systèmes
12.00am EST Understanding the Practical Challenges of Implementing AI and Biocatalysis
Nadim Morhell, Director of Automation and Data Management, EnginZyme
DAY THREE l 8th July 2021
9.00am EST Deep Learning approaches in Drug Design
Suneel Kumar BVS, Director of Computational Chemistry, AI, Sai Life Sciences
10.00am EST FIRESIDE CHAT: Applications of AI in the Discovery of Targets
Paul Nioi, Vice President, Discovery and Translation Research, Alnylam Pharma
11.00am EST JOINT CASE STUDY: Patent Scope Visualization: A Patent Mining and Visualization Platform for Antibody Claims
Peter Henstock, AI and ML Lead, Pfizer + Research Lead
Who should attend?
Pharma IQ Live is designed for Heads / General Managers / Directors of
Artificial Intelligence
Data
Drug Discovery
Discovery Informatics
Research and Development
Science & Technology
Who attends Pharma IQ Live online events
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