Multi-agent AI and robots automate materials discovery in closed-loop lab system

Traditional processes used to discover new materials are complex, time-consuming, and costly, often requiring years of ...
IEEE

Genetic and Epigenetic Predispositions, Shared Mechanisms, and Common Biomarkers Between Cancer and CVD—Machine Learning-Based Insights

Abstract: People affected by cancer are at an elevated risk of cardiovascular disease (CVD)-associated morbidity and mortality; the reverse association is also substantially evident. This ...
Frontiers

Machine Learning, AI, and Robotics in Musculoskeletal Rehabilitation

Musculoskeletal (MSK) conditions drive a large share of global pain, disability, and lost productivity. Rehabilitation can be effective, but outcomes vary ...

Mr.Chongwei Shi Enhances Genomic Analysis Through Signal Processing and Machine Learning Integration for Gene Identification

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral ...
IEEE

Single-Exposure Spectral Mammography and Three-Material Decomposition via Deep Learning-Generated PCD-Like Projections

Abstract: Photon-counting detectors (PCDs) enable energy-resolved X-ray imaging and quantitative multi-material decomposition, but their high cost and limited clinical availability restrict widespread ...