Learn how AI-driven personalization transforms customer loyalty. Explore predictive modeling and data strategies for ...

shinyOPTIK, a User-Friendly R Shiny Application for Visualizing Cancer Risk Factors and Mortality Across the University of Kansas Cancer Center Catchment Area We trained and validated two-phase ML ...

Geisinger and IBM this week announced this week that they've co-created a new predictive model to help clinicians flag sepsis risk using data from the integrated health system's electronic health ...

To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.

Hospitals are looking to invest in new technologies and work-on innovations that will improve the care patients receive. To learn more about how hospitals are adopting new technologies such as ...

Dr. Michael Spaeder of the University of Virginia previews his upcoming HIMSS26 talk on using AI and machine learning to detect potentially catastrophic health events.

Two new advanced predictive algorithms use information about a person's health conditions and simple blood tests to accurately predict a patient's chances of having a currently undiagnosed cancer, ...

The history of the social sciences has included a succession of advances in the ability to make observations and carefully test hypotheses. The compilation of massive data sets, for example, and the ...

A new algorithm aims to assess the likelihood of defendants being treated unfairly in court. The tool considers details that ought to be immaterial to the ruling — such as the judge’s and defendant’s ...