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An interpretable, unsupervised artificial intelligence framework identifies a 13‐cellular morphometric biomarker (CMB) signature from routine H&E whole‐slide images. Validated across 2,602 patients, the fixed signature generalizes across colorectal, gastric, and esophageal tissues without retraining, stratifies prognosis and precancerous lesion risk ...
Pin Wang +14 more
wiley +1 more source
Efficient and rapid generation of high-quality CT images from CBCT using a flow matching model. [PDF]
Li Z +5 more
europepmc +1 more source
Bridging the Gap: Translated Medical Education to Support Cystic Fibrosis Centers From Non-English Speaking Countries. [PDF]
Smith C +14 more
europepmc +1 more source
Digital linguistic sovereignty and Kazakh language policy in the digital environment. [PDF]
Zharkynbekova S +4 more
europepmc +1 more source
Quantitative comparison of methodologies for translation site imaging in living cells. [PDF]
Misiaszek AD +6 more
europepmc +1 more source
Digital Fatigue and Cognitive Load in E-Learning: Evidence From Nursing Students in Jordan. [PDF]
Sinnokrot S +6 more
europepmc +1 more source
Insights from a multinational survey on ERC courses: a cross-sectional analysis of participant and instructor perspectives. [PDF]
Karageorgos V +7 more
europepmc +1 more source
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Pediatric Critical Care Medicine
Pediatric Critical Care Medicine is proud to present translations of selected abstracts into French, Italian, Japanese, Portuguese, and Spanish. We sincerely thank the following for their important work on these translations: Jacques Lacroix, MD (French); Giuseppe A.
+11 more sources
Pediatric Critical Care Medicine is proud to present translations of selected abstracts into French, Italian, Japanese, Portuguese, and Spanish. We sincerely thank the following for their important work on these translations: Jacques Lacroix, MD (French); Giuseppe A.
+11 more sources

