Your First Look at the AI Convergence: Small Molecule Discovery Summit
The fast-evolving nature of AI/ML tool development for small molecule discovery requires continuous, thought-led learning. Equally, the practical value of industrializing AI/ML approaches to design and optimize truly novel small molecule chemistry is yet to be fully implemented at scale.
The AI Convergence: Small Molecule Discovery Summit is your chance to respond to this industry moment head-on. Jump on the opportunity to gain visibility into how techbio torchbearers, pharma adopters and biotech innovators are harnessing the confluence of insights gained from AI/ML, medicinal chemistry and computational approaches to impact hit-to-lead progression.
Featuring applied talks that provide confidence on small molecule discovery innovation from concept to IND, alongside proven wet-lab validation and increased probability of success, walk away feeling empowered to advance better, AI-enabled small molecules to patients faster.
What Sets This Meeting Apart?
Map Protein Folding for Undruggable Targets
Learn to apply AI/ML methods in concert with computational tools to predict target protein folding and binding surfaces for target enablement with Cellarity and the AI Small Molecule Drug Discovery Center, Icahn School of Medicine at Mount Sinai
Power Up Structure & Ligand-Based Design
Supercharge structure- and ligand-based drug design with AI/ML technologies to confront hard targets with UCB, Rapafusyn Pharmaceuticals, Montai Therapeutics, GSK and Congruence Therapeutics
Harness Generative Molecular Design
Leverage generative models to spotlight novel opportunities in small molecule chemistry and structure with Expedition Medicines, Psivant Therapeutics, Insilico Medicine and Johnson & Johnson
Navigate Untapped Chemical Space
Tap into unexplored chemical space beyond traditional datasets by utilizing virtual screening platforms powered using AI/ML with Pro-Phet, Novo Nordisk, Model Medicines and Variational AI
Optimize Preclinical Target Product Profiles
Investigate AI/ML methods and federated learning platforms that optimize small molecules for enhanced ADME-T and drug-like properties to derisk pipeline progression efforts with Sanofi and Eli Lilly’s TuneLab
Deploy Validated AI Tools
Acquire actionable learnings for your team with talks addressing the AI/ML method deployed, application and use case(s) in the discovery funnel, convergence of tools used and why, and confidence in insights and wet-lab validation that is guiding small molecule pipeline progression
Attending Companies Include: