Frontiers

Machine Learning and AI-Driven Biomechanics in Orthopedic Surgery

Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...

Machine-learning immune-system analysis study may hold clues to personalized medicine

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
IEEE

An interpretable model for the diagnosis of Alzheimer’s disease using deep learning and machine learning

Abstract: Combining multiple data sources can provide a comprehensive approach to Alzheimer’s disease (AD) staging analysis. This study presents a deep learning (DL) and machine learning (ML) approach ...
IEEE

Benchmarking Machine Learning Algorithms for Bearing Fault Classification Using Vibration Data: A Deployment-Oriented Study

Abstract: This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in ...