Stony Brook University researcher Sima Mofakham develops SeeMe, an AI tool that detects subtle facial movements to spot consciousness in brain-injured patients up to four days earlier than doctors. Non-invasive and low-cost, it could be scaled for widespread hospital use and paired with therapies to improve recovery. The program provides an extra layer of insight to guide treatment and support families without replacing clinical judgment.

Stony Brook University researcher Sima Mofakham develops SeeMe, an AI tool that detects subtle facial movements to spot consciousness in brain-injured patients up to four days earlier than doctors. Non-invasive and low-cost, it could be scaled for widespread hospital use and paired with therapies to improve recovery. The program provides an extra layer of insight to guide treatment and support families without replacing clinical judgment.

A machine-learning algorithm spotted signs of “covert consciousness” in coma patients—in some cases, days before doctors could do so.

New York-based Stony Brook University (SBU) has bought a new high-performance computing (HPC) cluster online, NVwulf. Described as “sister system” to the university’s existing SeaWulf cluster, Stony Brook said NVwulf marks a “significant upgrade” in campus-wide computational capabilities.