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A deep learning model used during EGD accurately predicts Helicobacter pylori infection showing multicenter diagnostic performance.

Real-world evidence indicates that hereditary angioedema with normal C1 inhibitor is frequently hormone sensitive.

In patients with cerebral infarction, machine learning models using neurophysiological and clinical data predicted ICU readmission.

Health-related quality of life remains significantly underreported in trials evaluating tyrosine kinase inhibitors and immune checkpoint inhibitors for early-stage non-small cell lung cancer.

The gut microbiome emerges as a modifiable driver of healthy aging, with evidence from model organisms supporting a causal role for gut microbes in lifespan and healthspan.

Childhood body size is linked to COPD risk in adulthood, with above-average BMI trajectories associated with higher COPD incidence.

Broad rim lesions have emerged as a new pathological and imaging biomarker for rapid disease progression in multiple sclerosis (MS), according to research integrating autopsy data and neuroimaging.

A multimodal AI model has achieved significant advances in pan-cancer prognosis prediction by combining pathology images, genomics, and clinical data.