Machine learning maps biochar’s strength effects in cement, with limits
A new study compiled published data on biochar-modified cementitious composites and used machine learning to explore compressive strength retention, finding ...
A new study compiled published data on biochar-modified cementitious composites and used machine learning to explore compressive strength retention, finding ...
A study of four Chinese university campuses used street-view imagery and machine learning to show that sky visibility and vegetation ...
A prospective community-based cohort study in Yulin, China, found that the TyG-CVAI index outperformed nine other TyG-derived indices in predicting ...
A new editorial argues that treatment disengagement, care inequalities and stigma remain the central barriers to improving HIV outcomes worldwide.
A review by Cosylab engineers in the ARTIFACT network proposes a framework-agnostic, safety-first abstraction layer to connect AI services to ...
A retrospective cohort study developed an XGBoost model using five routine clinical indicators to estimate early pregnancy loss risk after ...
A new commentary argues that artificial intelligence could strengthen antimicrobial stewardship across Africa, but finds most applications remain at pilot ...
Researchers trained an interpretable XGBoost model on biomechanical data from 204 male athletes to predict peak ACL force during side-cutting ...
A nine-year cohort study finds that a composite index combining triglyceride-glucose levels with frailty measures strongly predicts incident cardiovascular disease ...
A new framework for privacy-preserving healthcare analytics, published in Discover Artificial Intelligence, reports measurable gains in accuracy, latency, and communication ...
A proof-of-concept study shows explainable AI can reconstruct dairy cow welfare-risk scores from routine milk records while revealing how, and ...
A machine learning study of 411,863 women across eleven Sub-Saharan African countries achieved 90.2 percent accuracy in predicting preterm birth ...
A new review in Clinical and Experimental Medicine examines how molecular dynamics, docking, machine learning and AI platforms are being ...
A new review proposes a five-module artificial intelligence framework linking endoscopic diagnosis, genomic resistance prediction, vaccine design and digital adherence ...
A machine-learning model using structured multifrequency bioimpedance descriptors identified previously diagnosed diabetes with an AUROC of 0.8336 in a proof-of-concept ...
A nested, formula-grouped machine learning study of 105 transition metal carbides finds that composition and elemental properties carry most of ...
Researchers report an entropy-driven adaptive spatial modeling framework that classifies drought, salinity, heat and nutrient-deficiency stress in grapevine leaf images ...
An AI model trained on nearly 6,000 annotated uterine ultrasound images automatically segments the endometrium, measures its thickness with sub-millimeter ...
A cross-validated evaluation of eight regression algorithms on an 18-disk continuum robot arm finds that geometric features alone yield near-zero ...
A systematic review of 19 studies and 20 prediction models finds that prognostic tools for type 2 diabetes after gestational ...
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