The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.

Somewhere on Kaggle, the open data platform where anyone can upload a spreadsheet and call it a dataset, two files labeled as ...

Researchers at Mount Sinai have created an analytic tool using machine learning that they say can predict cardiovascular disease risk in millions of patients with obstructive sleep apnea, according to ...

A new study suggests that AI can analyze routine coronary artery calcium (CAC) scans to measure pericardial fat and ...

Isatuximab, Lenalidomide, Bortezomib, and Dexamethasone Induction Therapy for Transplant-Eligible Newly Diagnosed Multiple Myeloma: Final Part 1 Analysis of the GMMG-HD7 Trial Evaluating MRD-CR as an ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

In a recent study published in the journal Communications Medicine, a group of researchers developed and validated scalable machine learning models that predict 12-month Mini-Mental State Examination ...

Predictive models that combine patient-reported psychosocial measures with clinical data perform well in forecasting flares in patients with inflammatory bowel disease.

The new model identifies at-risk subgroups and helps guide them toward tailored interventions. The depicted figures wear color-coded outfits matching the DNA double helix railings, symbolizing the ...

With a NOK 40 million (approx. €3.5 million) grant, Professor Srdjan Djurovic at the University of Oslo aims to identify early blood-based biomarkers that can predict who is at increased risk of ...

Mumbai: City doctors are developing an artificial intelligence (AI)-based tool to predict whether and when a newly diagnosed ...