TAD Grant Awardees from the Gray Faculty of Medical and Health Sciences

The grants are given for a broad range of projects in the fields of AI and Data Science. Below is the list of awardees from the Gray Faculty of Medical & Health Sciences. Congratulations to the Awardees!

Full Grant Awardees:

Elhanan Borenstein (Medical Sciences + Computer Science)

"Phenotype-Driven Parallel Embedding of Multi-Omic Data Integration".

Gabriel Chodick (Public Health) and Lior Wolf (Computer Science)

"Multimodal Approach for OCT-omics: Personalized Treatment and Failure Prediction in Diabetic Macular Edema (DME)".

Or Perlman (Biomedical Engineering) and Jeffrey Hausdorff (Medicine & TASMC)

"Deep Learning Driven Detection and Characterization of Freezing of Gait Associated with Parkinson’s Disease from Daily Living Videos".

Ran Darshan (Medical Sciences + Physics) and Amir Globerson (Computer Science)

"Interpretable Recurrent Neural Networks for Modeling Neural Activity and Behavior".

Ran Gilad Bacharach (Biomedical Engineering) and Uri Obolski (Public Health)

"Pre-train, Predict, Prescribe – Applying Large Models to Optimize Treatments of Infectious Diseases".

Yuval Nir (Medicine), Israel Gannot (Biomedical Engineering), and Shai Avidan (Electrical Engineering)

"AI-Driven Touchless Pupillometry for Continuous Monitoring in the Neurological Intensive Care Unit".