A twelve-year study of Odisha's Baitarani River combined water quality indices, multivariate statistics and machine learning to identify monsoon-season pollution ...
A random forest model trained on acoustic emission signals from granite hydraulic fracturing experiments forecast specimen failure up to 1800 ...
A new perspective argues that liquid–liquid phase separation should be studied as an evolvable molecular phenotype shaped by natural selection.
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 ...
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