Robotics, Agents, and World (RAW) Models to Target Cancer
When: Feb. 18th, 2026 11:00 am - 12:00 pm
Learning Level: Any
To Know
About this Class
Join us for the latest Data Science Seminar Series to explore how AI, robotics, and predictive models could transform drug development. Dr. Arvind Ramanathan, a computational science leader at Argonne National Laboratory, will share an approach his lab is developing that uses automated systems to generate and test hypotheses to design cancer therapies. |
Join the webinar to explore how:
• autonomous AI agents can compete to generate and test hypotheses for cancer drug design.
• real world models can predict experimental outcomes and guide which experiments to run next in robotic laboratories.
• applications of this approach can target intrinsically disordered proteins (IDP) to design therapies for the oncogenic driver WHSC1 and metabolic regulator NMNAT2.