Artificial intelligence is rapidly becoming medicine’s most powerful microscope, revealing patterns in human DNA that were ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

FIU Researchers are training AI to detect heart conditions, like aortic stenosis and heart failure, by analyzing heart sound data to improve early diagnosis and risk prediction. The future of heart ...

Mount Sinai scientists developed V2P, a powerful new AI tool that predicts how specific DNA mutations translate into disease, unlocking faster diagnoses and new targets for therapy.

According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...

A Yale research team has created a new imaging technique that reveals the hidden connections between aging, disease, and genetic activity in human cells. Using a novel machine learning approach, the ...

Researchers have developed a novel approach to detect ALS and predict survival by measuring genetic activity in blood cells, a study found.

What if doctors could look at a person’s DNA and not only spot a harmful mutation, but also predict the kind of disease it may cause—before symptoms fully appear? Scientists at the Icahn School of ...

Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been thought to forebode earthquakes are not supported by empirical evidence. As ...