A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...

Challenger seeks to unseat incumbent for machine learning workloads A fledgling file format that aims to address limitations in the widely-used Parquet is under review for adoption by an open source ...

This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...

A retrospective study of 3,348 cerebral infarction patients shows machine learning can predict ICU readmission. Logistic ...

Scholars have, in fact, long debated whether or not the painting is a Raphael original. While it requires diverse evidence to ...

McLean, Virginia-based defense and national security company Xcelerate Solutions has acquired clearAvenue to expand its portfolio of technical capabilities, particularly in artificial intelligence and ...

Sodium-ion batteries (SIBs) emerge as a key option for next-generation electrochemical energy storage, thanks to abundant sodium resources, ...

Machine learning has become the critical enabler for addressing these challenges. Traditional ML models, including random ...

Background: Alterations in brain structure have been suggested to be associated with bulimia nervosa (BN). This study aimed to employ machine learning (ML) methods based on diffusion tensor imaging ...

ABSTRACT: Arid and semiarid regions face challenges such as bushland encroachment and agricultural expansion, especially in Tiaty, Baringo, Kenya. These issues create mixed opportunities for pastoral ...