Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Patients are less comfortable with predictive models used for health care administration compared with those used in clinical practice, signaling misalignment between patient comfort, policy, and ...

In an effort to advance early detection of colon cancer, Sioux Falls, S.D.-based Sanford Health has developed a predictive AI model designed to identify individuals at elevated risk for the disease.

Today, the integration of predictive, patient-level data presents a defining opportunity to elevate population health management. By shifting focus toward individualized risk assessments, healthcare ...

Inpatient clinical care teams generally use tools such as bed alarms, gait belts, closer nursing station placement and more to prevent patient falls. But those interventions can hinder clinical ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

The MarketWatch News Department was not involved in the creation of this content. BOSTON, Oct. 07, 2025 (GLOBE NEWSWIRE) -- GATC Health, a leading tech-bio company leveraging artificial intelligence ...

Michael O. Lawanson, a Nigerian data scientist at the University of Arkansas, United States, is at the forefront of global ...

BUFFALO, N.Y.--(BUSINESS WIRE)--In a historic fusion of cutting-edge, powerful artificial intelligence (AI), neurotechnology, and neuroscience, University at Buffalo Neurosurgery (UBNS) and ANSC™ has ...