Machine-learned biomarker identifies those at high risk for liver cancer

Researchers led by Xian-Yang Qin at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk of liver cancer. Published in the journal Proceedings ...
Frontiers

Machine learning and single-cell RNA sequencing analyses identify MS-related monocytes and a five-gene candidate biomarker signature

Seven machine learning algorithms consistently validated five key genes (COX5A, CTSS, GBP2, IRF7, and PGAM1) as optimally characterized biomarkers. The infiltration profiles of these genes, together ...
CNBC

Gold and silver price swings are powering algo traders and machine-learning funds

Machine-learning hedge funds surged on the recent jump in precious metals prices, before sidestepping last week's sell-off. Also known as commodity trading advisors (CTAs), the sector notched up one ...
IEEE

Efficient Machine Learning-Based Semantic Segmentation Algorithm for Consumer-Grade AAV Remote Sensing

Abstract: The computational complexity of the Transformer model grows quadratically with input sequence length. This causes a sharp increase in computational cost and memory consumption for ...
IEEE

Stagewise Optimization Framework for Fall Direction Recognition from Wearable Sensor Data based on Machine Learning

Abstract: Accurate fall direction recognition is essential for developing effective fall prevention and intervention systems, yet it remains challenging due to the subtle differences in motion ...