Machine learning predicted activated clotting time during AF ablation, with deep learning achieving 81% accuracy.

Steatotic liver disease (SLD), formerly named fatty liver disease, has a prevalence estimated at 30–38% in adults. Detection of SLD is important, since prompt initiation of treatment can stop disease ...

This research proposes the design of an autonomous fire detection system based on a Raspberry Pi 3 B+, combined with smoke and flame sensors, enabling real-time monitoring and increased reactivity to ...

The Family Heart Foundation has published a new study in JACC: Advances demonstrating how its FIND Lp(a) Machine Learning ...

Structural variants—large-scale rearrangements of the genome that include deletions, duplications, inversions and insertions ...

Clinical machine learning is increasingly used for prediction, diagnosis, prognosis, risk stratification, and treatment-related decision support. These ...

A team of forensic geneticists in China has shown that a panel of roughly 2,000 single nucleotide polymorphisms, or SNPs, ...

AI-powered systems have swept through business, surfing a rising wave of occasionally justified hype. When they're good, they're really good—take, for example, a neural net designed to help Japanese ...

Women’s agency — their ability to define and act on their goals — is often the target of policies and programs, both as a means of reducing other gender inequities and as an end in and of itself.

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Women’s agency is highly context-specific, with Tunisia’s evidence showing that locally validated, multidimensional measures ...