We report an interpretable electronic-structure informatics strategy for identifying ligand features that govern actinide/lanthanide (An/Ln) selectivity at the metal-ligand interaction level, a domain where limited experimental data and open-shell el... read more
IMPORTANCE: While growing evidence implicates synaptic dysfunction as a key pathophysiological mechanism in cognitive impairments in schizophrenia (SCZ), it remains unknown how individual alterations in synaptic connectivity translate into correspond... read more
Exosomes are nanoscale extracellular vesicles whose membrane-embedded proteins encode phenotypic information but remain difficult to interrogate due to hydrophobicity, low copy number, and nanoscale curvature. Here, we present AptEx-ID, a chemically ... read more
BACKGROUND: Delayed or missed diagnosis of congenital heart disease (CHD) contributes to excess pediatric mortality worldwide. Echocardiography (echo) is central to diagnosing and triaging CHD, yet expert interpretation remains a scarce and maldistri... read more
Septic shock (SS), the most severe stage of sepsis, has a high mortality rate. Mitochondria-mediated programmed cell death (MPCD) plays a key role in SS pathogenesis, but its diagnostic value remains unclear. This study integrated the GEO public data... read more
Academic medicine : journal of the Association of American Medical Colleges
Mar 28, 2026
In 2005, Weill Cornell Medicine revised the Hippocratic Oath. Since then, this revised oath has been administered to graduating medical students and become part of the curriculum during first-year orientation. In a flipped classroom exercise, one of ... read more
Naunyn-Schmiedeberg's archives of pharmacology
Mar 28, 2026
The pathophysiology of osteoarthritis (OA), a common degenerative joint disease, is complicated. The significance of autophagy irregularities and iron metabolism issues in OA has garnered a lot of interest in recent years, with "Ferritinophagy" media... read more
This study proposes an advanced framework for forecasting national tourism revenues by systematically comparing machine learning (ML), deep learning (DL), and hybrid architectures on a country-year panel. Baseline models using only trade and economic... read more
Large-scale, diverse data produced by higher vocational teacher colleges' digital transformation challenges traditional methods for evaluating digital literacy. The reliability of current analytics and black-box artificial intelligence (AI) models fo... read more
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