Brain cancer digital twin predicts treatment outcomes by mapping tumor metabolism

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...
IEEE

Data-Driven Solutions for Human Trafficking: Detection and Impact Analysis Using Machine Learning

Abstract: Human trafficking is a serious problem that requires new ideas and data-driven approaches to identify and solve. In this study, we analyze large datasets to identify patterns and anomalies ...

Deep learning creates virtual multiplexed immunostaining to improve cancer diagnosis

Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...

CheckMySpot(R) Earns National Recognition for Transforming Early Skin Cancer Detection at 2025 National Alliance Annual Forum

On November 11, 2025, CheckMySpot(R) , the Direct Access Platform(TM) for early skin cancer detection, was honored during the 2025 National Alliance of Healthcare Purchaser Coalitions Annual Forum ...
News-Medical.Net

AI trained on sleep data predicts future disease and mortality years in advance

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
IEEE

Lung Cancer Detection Using Multiple Machine Learning Algorithms

Abstract: Lung cancer remains one of the leading causes of cancer-related mortality worldwide, primarily due to late-stage diagnosis. Early and accurate detection through medical imaging can ...