Discover Lessons Learned from Real World Applications & Practical Implementations of AI and Machine Learning to Improve Your Drug Discovery Efforts
The AI-ML: Drug Discovery Summit – the industry’s leading R&D AI event – returns in 2021, with brand-new case studies, cutting-edge discussions, and industry-shaping debates to help you overcome your data quality, standardization, and sharing challenges.
Across 3 days of learning with key decision makers from pharma, biotech drug developers and technology companies, this summit will provide the roadmap to augmented R&D decision making with reduced failure rates, increased speed and improved margins.
Featuring real-life case-studies and experiences from companies like Bayer, Pfizer, Novo Nordisk, Gilead, Teva Pharmaceuticals and the Critical Path Institute, as well as interactive panel discussions and virtual roundtables, this is the chance to address your major challenges and find answers to the most pressing AI ML questions.
Join 80+ like-minded peers online in January 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 drug discovery and development processes.
Download the Full Event Guide to get a taste of the real-world case studies you'll be joining at the conference.