An opinion article argues that generative AI is increasing the burden on already underfunded public health institutions that distinguish evidence from plausible but unsourced claims.
A retrospective study of 93,196 pediatric test records from Beijing established age- and sex-specific reference intervals for five myocardial enzymes in children aged 28 days to 18 years.
A modified Delphi study involving 17 Malaysian clinicians produced seven preliminary recommendations for coordinating community and hospital-based geriatric telemedicine care.
An umbrella review of nine systematic reviews reported high prevalence of gender-based violence and selected adverse sexual and reproductive health outcomes among adolescent girls and young women in ...
Patient-derived fibroblasts with TFE3-associated neurodevelopmental disorder showed metabolic rigidity, dysfunctional lysosomes, impaired migration and an unstable extracellular-matrix interface.
A systematic review of 41 studies found that machine learning can classify keratoconus severity and estimate progression and surgical outcomes, but limited external and prospective validation leaves ...
A 2026 review finds that CPNE7-derived peptides can promote selected tissue-repair processes in preclinical models when engineered into collagen and chitosan biomaterials.
A single-run benchmark of 120 liver injury narratives found that AI systems produced parseable output while retaining potentially causality-distorting errors, including unsupported claims that ...
A 35-year-old woman with migraine and oral contraceptive use developed pontine stroke and right vertebral artery occlusion immediately after cervical manipulation, but the case cannot establish ...
A 2026 perspective synthesizes human, animal and molecular evidence linking cellular senescence, oxidative stress, mechanical loading and microbiome changes to intervertebral disc degeneration and ...
A 2026 narrative review finds that genetically elevated lipoprotein(a) supports the onset of calcific aortic stenosis, but no ...
An interpretable machine-learning study of 3,729 older NHANES participants linked mixed dietary signals with predictions of ...
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