Final random-forest-based models outperformed all publicly available risk scores on internal and external test sets.

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

Researchers developed and validated a new lung cancer prediction model, Sybil-Epi, by integrating clinical and epidemiologic data with a pre-existing model.

A new electronic health record (EHR)-based model called PRIME identified individuals who had a sevenfold higher risk of developing pancreatic cancer, vs the population norm. Validated across more than ...

Broadcom benefits from the AI infrastructure build-out in two main ways. The company is set to see explosive growth in the coming years. Broadcom benefits from the increasing size of AI clusters in ...

WINNIPEG — Shared Health — which is tasked with planning future health-care staffing requirements in Manitoba — has no “responsive records” to show workforce modelling or a forecast of future staffing ...

In Tornado Alley, meteorologists are using autonomous drones to fill forecasting gaps and capture real-time weather data. WSJ followed the team working to make this tech the new standard. Photo: ...

Cleveland-Cliffs, Inc. is a flat-rolled steel company, which engages in provision of iron ore pellets to the North American steel industry. It focuses on the production of metallic and coke, iron ...

CNN chief data analyst Harry Enten on Tuesday explained how two specific gubernatorial races could predict the result of the 2026 midterm elections. On Tuesday morning, Enten took a closer look at the ...

Objective The objective was to examine the 22 variables from the Sport Concussion Assessment Tool’s 5 th Edition (SCAT5) Symptom Evaluation using a decision tree analysis to identify those most likely ...