AI-enabled ECG biological age (ECG-BA) improves disease risk classification beyond chronological age, enhancing early ...

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 ...

To develop a machine learning (ML) algorithm to predict survival probabilities for patients with epithelial ovarian cancer (EOC).Data were obtained from the SEER database for women diagnosed with EOC ...

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.

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 ...