Federal Grant Award Summary

The National Institute of General Medical Sciences (NIGMS) awarded The Leland Stanford Junior University a $188,877 Project Grant effective August 1, 2026, through July 31, 2031, under the Biomedical Research and Research Training program (CFDA 93.859). The award funds development of an artificial intelligence framework designed to model physiologic and pharmacologic dynamics in anesthesia. The research addresses critical gaps in anesthetic practice by developing computational tools that leverage perioperative data to support clinical decision-making, with particular focus on reducing medication errors and adverse events that currently comprise 5-28% of anesthetic complications.

The project will deliver three integrated research products: a global foundation model with reusable representations for simultaneous multi-output prediction of patient and procedural characteristics; real-time network-based modeling of patient physiology in response to combinatorial drug interventions; and a causal inference framework for identifying optimal, dynamic treatment regimens. The research employs time-aware artificial intelligence modeling approaches to capture the physiologic and pharmacologic principles underlying anesthetic care, addressing limitations in current computational approaches including poor generalizability, small datasets, manual feature simplification, and limited clinical actionability. This work directly supports improved perioperative care across the estimated 300 million annual surgical procedures globally.