The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
IEEE

Segmented Learning for Metaverse Network Traffic Classification

Abstract: We propose a novel two-staged segmented learning framework to enhance network traffic classification (NTC) for 5G and beyond (B5G)-driven enhanced mobile broadband (eMBB) applications, ...

Brain MRIs and AI predict brain age, cancer survival, and other diseases

Mass General Brigham researchers are betting that the next big leap in brain medicine will come from teaching artificial ...
IEEE

Machine Learning-Driven Personalized Cancer Treatment: Evaluating Supervised and Reinforcement Learning Approaches

Abstract: This research explores the application of machine learning techniques in recommending personalized cancer treatments, comparing supervised learning and reinforcement learning approaches. By ...