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

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 ...

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 ...

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).

Eko Health has been advancing the use of artificial intelligence to help providers detect the early signs of disease, ...

Instead of waiting for problems to occur and then treating them, 2025's innovations are all about prevention and early ...

People's bodies can be old or young for their chronological age, depending, in part, on the amount and types of stressors ...

Many commercial biological age tests collect genetic information through saliva samples or oral swabs. For accurate measurements, however, blood samples are typically necessary according to a new ...