Weimer receives NSF CAREER Award to improve safety and efficacy of machine learning, AI systems

James Weimer, a computer science assistant professor and medical-device entrepreneur, has won a National Science Foundation CAREER Award to enhance the safety and efficiency of advanced machine learning systems in healthcare.

These systems, called Learning-enabled medical cyber-physical systems (LE-MCPS), use AI to improve medical devices like stroke detectors and hemorrhage predictors, providing personalized care and timely alerts to caregivers.

However, relying on experimentation for data can lead to inefficiencies and risks. Weimer plans to use the $570,000 grant to develop technology addressing these issues.

Drawing on his experience founding companies like Neuralert, Weimer will focus on improving LE-MCPS for stroke detection and hemorrhage prediction, aiming to tackle foundational challenges in medical device development.

Weimer's prior work on Neuralert, a noninvasive stroke detection device honored by Time magazine, underscores his expertise in this field, with the FDA recognizing Neuralert as a Breakthrough Device in 2021.