An AI-powered web application for predicting and monitoring heart disease using a hybrid Transformer–CNN deep learning model. The system allows patients, clinicians, and administrators to interact ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

In this interview with Mike Phillips, CEO of Sense, learn how machine learning is utilized to track electric vehicle (EV) usage, solar energy, and overall energy consumption. Discover how this ...

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...

The ML model stratifies HCC patients by mortality risk, guiding treatment decisions between liver transplantation and surgical resection. The model demonstrated improved survival outcomes, with a 54% ...

The NFL Week 2 schedule gets underway with a Thursday Night Football matchup between NFC playoff teams from a year ago. The Washington Commanders battle the Green Bay Packers beginning at 8:15 p.m. ET ...

Department of Agricultural Microbiology, Agriculture and Biology Research Institute, National Research Centre, 33 EI Buhouth St., Dokki, Cairo 12622, Egypt ...

Bradyarrhythmia is a common and potentially serious cause of syncope, often difficult to detect due to its intermittent nature. Traditional ECG monitoring methods either provide low diagnostic ...

University of Sheffield researchers developed a machine learning framework to improve coating properties in a roll-to-roll slot die coating process. The work is seen as an initial step toward broader ...

Apple has shared recordings of talks from its workshop about privacy and machine learning, demonstrating how it is considering how to protect user data while it is processed using AI. Apple has ...