Discover Pragmatic Case Studies of Machine Learning in Action to Augment Your Processes for Increased Efficiency & Accuracy from Target Discovery to Phase 2 Clinical Trials
The 3rd Annual AI-ML: Drug Discovery & Development Summit is the industry’s definitive guide to translating the wealth of tech available to successful, efficacious and efficient R&D processes. With 3 days of real-world case studies, this summit will provide the roadmap to augmented R&D decision making with reduced failure rates, increased speed and improved margins.
This year’s summit will take a deeper look at:
- Target, pathway and molecule selection – identifying which will treat individual disease indications better
- Predictive preclinical models – knowing from the beginning how drug candidates will react when administered to in vivo and in vitro models
- Identification of the patients who will react best to the treatment with minimal side effects for a guaranteed successful clinical trial
Join 80+ like-minded peers to overhaul R&D and reflect on the lessons learned from the successes and mistakes made from a year of implementation and utilization.
Walk away with a blueprint for more accurate, more efficient and more effective R&D processes.
Download the Full Event Guide to get a taste of the real-world case studies you'll be joining at the conference.
Expert Speakers at the 3rd AI-ML Drug Discovery & Development Summit Include:
Senior Director, Head of ECD Informatics
Professor - Medicine & Chief of Translational Informatics Division & Internal Medicine
University of New Mexico