A machine learning model can predict overactive bladder (OAB) risk in women using common reproductive and sociodemographic ...

Google DeepMind's Gemma family of open models has passed one billion cumulative downloads, the company said on August 20, 2026, capping two years in which outside developers published more than ...

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Advances in genome sequencing are giving more families access to prenatal genetic testing and new information about an unborn baby's health, including whether genetic changes may link to a ...

Artificial intelligence (AI)-based prediction models, including risk scoring systems and decision support systems, are being ...

Here, we address this problem using carbon nanotube (CNT) field-effect transistors (FETs) in which the base device structure is lithographically fabricated before the deposition of gas-sensitive ...

On June 12, artificial intelligence (AI) lab Anthropic suspended access to its latest Claude models, Fable 5 and Mythos 5, which had been released three days earlier. The move came in response to an ...

Researchers have optimized a headspace sorptive extraction (HSSE) method coupled with gas chromatography-mass spectrometry (GC-MS) to analyze human scent traces left on clothing. By extracting ...

ABSTRACT: The ubiquitous use of biometric technology in contemporary society, from unlocking smartphones to enforcing border control and law, has raised concerns regarding its impact on minority ...

Patients with diabetic kidney disease (DKD) admitted to the intensive care unit (ICU) face an exceptionally high risk of in-hospital mortality. Currently, effective tools for their early risk ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...

Janus Mn single atoms for triggering efficient photothermal catalytic CO 2 methanation through spin polarization effect Single-molecule detection (SMD) holds considerable promise in biomedical ...