Researchers developed ProtGPS, an AI tool that predicts protein localization in cells and how mutations affect disease. The ...

While ML models are powerful tools for predicting diabetes, their lack of interpretability presents a major challenge for clinical adoption. Healthcare professionals require AI models to not only be ...

GPS leverages the idea behind transfer learning -- a machine learning technique ... control samples via other methods. Accurate prediction of disease progression using GPS can enable early ...

Crop diseases pose a big threat to food production around the world. Early detection of plant diseases is key to effective ...

After combing through 4,000 existing medications, an artificial intelligence tool helped uncover one that saved the life of a patient with idiopathic multicentric Castleman's disease (iMCD).

Accelerated Climate Modeling AI-driven models, particularly Google's NeuralGCM, are leading a revolution in climate modeling.

An interpretive machine learning model may be a feasible method for measuring agitation in dementia as well as in predicting ...

A collaboration between the Ragon Institute and MIT’s Jameel Clinic has led to the development of MUNIS, a deep learning tool that significantly enhances T cell epitope prediction, accelerating ...

Nominating candidate risk genes and gene sets underlying disease-critical processes is of utmost importance for developing drug targets and informing CRISPR screening. The Kushal Dey Lab focuses on ...