A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk ...

(HealthDay News) — Machine learning and deep learning models applied to integrated clinical and claims data can improve prediction of chronic kidney disease (CKD) progression to end-stage renal ...

Using heart rate variability as a potential biomarker for diagnostic support and early screening of schizophrenia and bipolar disorder could eventually lead to faster, less costly assessments outside ...

Overview: Machine learning tools simplify and speed up AI development.Options include open-source frameworks and cloud AI ...

Background Cardiovascular risk is underassessed in women. Many women undergo screening mammography in midlife when the risk of cardiovascular disease rises. Mammographic features such as breast ...

Biochar, a carbon-rich material made from organic waste, is gaining attention for its ability to improve soils, clean water, and capture carbon. A new review in Biochar X highlights how machine ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Nearly 50 new cancer therapies are approved every year. This is good news. "But for patients and their treating physicians, ...

AI cheats not because it’s broken, but because it has learned our own bad habit: rewarding what feels good over what is true.

At the advanced level, deep learning and reinforcement learning are applied for real-time personalization, dynamic pricing, and multimodal coordination. These models enable transport systems to adapt ...

The machine learning field is moving fast, and the yardsticks used measure progress in it are having to race to keep up. A case in point, MLPerf, the bi-annual machine learning competition sometimes ...

The Defense Logistics Agency has published a white paper by David Bella pushing for machine learning to modernize logistics ...