5 papers
A Modular Agentic Framework for Synthetically Constrained Multi-Objective Hit-to-Lead Optimization
Kelvin P. Idanwekhai, Enes Kelestemur, Benjamin Strickland +6
Hit-to-lead optimization requires iterative design of hit analogs across competing potency, selectivity, physicochemical, pharmacokinetic, safety, and synthetic constraints. We pre…
From Prompts to Protocols: An AI Agent for Laboratory Automation
Angelos Angelopoulos, James F. Cahoon, Ron Alterovitz
Automating science laboratories enables faster, safer, more accurate, and more reproducible execution of protocols, accelerating the discovery and testing of new materials, drugs,…
Generalizing Multi-Objective Search via Objective-Aggregation Functions
Hadar Peer, Eyal Weiss, Ron Alterovitz +1
Multi-objective search (MOS) has become essential in robotics, as real-world robotic systems need to simultaneously balance multiple, often conflicting objectives. Recent works exp…
Safe Start Regions for Medical Steerable Needle Automation
Janine Hoelscher, Inbar Fried, Spiros Tsalikis +3
Steerable needles are minimally invasive devices that enable novel medical procedures by following curved paths to avoid critical anatomical obstacles. Planning algorithms can be u…
A Dataset of Anatomical Environments for Medical Robots: Modeling Respiratory Deformation
Inbar Fried, Janine Hoelscher, Jason A. Akulian +1
Anatomical models of a medical robot's environment can significantly help guide design and development of a new robotic system. These models can be used for benchmarking motion pla…