Groundwater, as an important freshwater resource, faces an increasingly severe problem of contamination by potential toxic metals (PTEs). Dissolved organic matter (DOM) plays a crucial role in regulating the speciation and migration behaviour of PTEs... read more
Reliable early warning of embankment dam failure requires predictive models that are accurate, physically consistent, and uncertainty-calibrated. This study proposes a hybrid physics-informed Bayesian deep learning framework integrating coupled u-p B... read more
Artificial Intelligence (AI) is reshaping healthcare through advances in diagnostics, treatment, and operations, yet the startup ecosystem driving this transformation remains underexplored. Analyzing 3,807 AI health startups founded between 2010 and ... read more
BACKGROUND: Oxidative stress (OS) plays a key role in many pathologies, yet the non-invasive, label-free, and cost-effective detection remains a challenge. This study evaluates Hyperspectral Imaging (HSI) combined with AI to detect OS by identifying ... read more
Journal of assisted reproduction and genetics
Apr 14, 2026
PURPOSE: Can an explainable machine learning-assisted approach uncover data and prediction trends to select the most transparent model for live birth in autologous ICSI cycles? DESIGN: A retrospective multicenter cohort study (January 2011-December 2... read more
International journal of emergency medicine
Apr 14, 2026
BACKGROUND: The Pediatric Assessment Triangle (PAT) is a rapid visual assessment framework designed to support early identification of critically ill or injured children in emergency departments. It enables clinicians to quickly evaluate appearance, ... read more
BACKGROUND: Analysis of proteins is key to understanding biological processes, disease pathogenesis, and advancing therapeutic development. However, proteome profiling remains significantly limited when compared to the exponential growth of single-ce... read more
BACKGROUND: Artificial intelligence (AI), including machine learning, natural language processing, and large language models, may support implementation practice and research in tasks such as evidence synthesis, determinant assessment, strategy selec... read more
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