Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

When Jorie Kraus was diagnosed with an incurable rare disease, two young researchers created an AI tool to find a treatment.

Using CLASSIC, Rice researchers realized that circuits are variable, having multiple pathways to elicit the same outcome.

Health tracking technologies offer insights into wellbeing but may also cause anxiety and data misinterpretation. Evaluating ...

New CLASSIC technique uses AI and massive DNA libraries to predict genetic circuit performance faster and more accurately.

There are hundreds of cell types in the human body, each with a specific role spelled out in their DNA. In theory, all it ...

See how machine learning is spotting Alzheimer’s years before symptoms begin—using brain scans to help guide earlier, more ...

de Filippis, R. and Al Foysal, A. (2026) Cross-Population Transfer Learning for Antidepressant Treatment Response Prediction: A SHAP-Based Explainability Approach Using Synthetic Multi-Ethnic Data.

The 1980s were vested in exploring the use of vanadium species in flow batteries. Sum et al. (1985a; 1985b) investigated the use of vanadium (II), (III), (IV), and (V) in ...

The study shows that personalized medicine demands new competences that extend beyond traditional medical training.

Natera, Inc. (NASDAQ:NTRA), a global leader in cell-free DNA testing and precision medicine, today announced a new collaboration with NVIDIA to accelerate the development of Natera’s multimodal AI ...

Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...