Research links specific weather conditions to salmonellosis outbreaks, emphasizing the need for weather-based models in food ...

The integration of XAI methods not only improves transparency but also fosters trust among farmers and agricultural experts.

A recent modeling study has identified risk factors predictive of good and bad outcomes in non-diabetic CKD, such as gender, ...

A new artificial intelligence model developed by Stanford Medicine combines clinical notes and pathology images to predict ...

Set to enter hospice care, a patient with idiopathic multicentric Castleman’s disease is now in remission after treatment with a medication identified by an AI-guided analysis ...

While ML models are powerful tools for predicting diabetes, their lack of interpretability presents a major challenge for ...

EULAR/ACR SLE classification criteria were not linked to mortality or hospitalization, a developed ominosity model adequately predicted mortality.

A new predictive model developed by Ochsner Health helps clinicians make real-time decisions for patients who had a stroke ...

Age, gender, and lifestyle are key factors in predicting risks for illnesses like cancer and heart disease, but adding race ...

NEW equations, named AROSE, have been developed to better predict the 10-year risk of atherosclerotic cardiovascular disease ...

A collaboration between the Ragon Institute and the Jameel Clinic at MIT has achieved a significant milestone in leveraging ...