A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases ...

The conversion of carbon dioxide into clean fuels is regarded as an important route toward carbon neutrality. CO2 methanation ...

Researchers at Tohoku University have applied explainable machine learning to identify key factors for nickel-based catalysts ...

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

The global shift toward digital banking has been dramatic, with the volume of cashless transactions increasing year over year. While this growth signals progress in financial technology, it has also ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.

How Machine Learning Boosts Healthcare Cybersecurity We regularly apply ML algorithms in our software development projects and, specifically, in healthcare projects.

An experimental study shows that already small-scale quantum computers can boost the performance of machine learning algorithms.

BOSTON — A novel machine learning algorithm has potential to improve detection and treatment of individuals with familial hypercholesterolemia, according to a new study. Spencer V. Carter ...