What if Drug Discovery Didn’t Have to Fail so Often? Moving Towards Breakthroughs that Come Sooner, Smarter, and with Fewer Dead Ends | Kisaco Research

Today, we present JarvisAI, a novel AI-powered discovery engine that integrates generative chemistry, multi-omics insights, and predictive analytics into one unified platform.Acting as an agentic experiment designer, JarvisAI combines hundreds of tools and datasets, rapidly generating, prioritizing, and optimizing workflows from target ID to IND. With adaptive learning and scientist-in-the-loop control, it helps R&D organizations accelerating discovery timelines from years to weeks while facilitating the discovery of novel therapeutic candidates across modalities.JarvisAI represents an inflection point in how AI can drive value in R&D programs.Join us to learn more about how it is changing drug discovery research for the better. 

Sponsor(s): 
Helix AI
Speaker(s): 

Author:

Marcos Camara Donoso

Director, AI Solutions
HelixAI

Marcos Camara Donoso

Director, AI Solutions
HelixAI
Time: 
12:15 PM - 12:45 PM
Agenda Track No.: 
Track 1
Session Type: 
General Session (Presentation)