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Influence of artificial intelligence on xenotransplantation and regenerative medicine on the path toward ending the organ shortage.

The purpose of this review is to summarize the most influential and conceptually significant publications from the past 2 years, including substantial 2026 publications, and to identify emerging directions likely to shape xenotransplantation and regenerative medicine in the near future. Advances in artificial intelligence (AI) now support more structured anticipation of future developments by inte...

Immune Repertoire Profiling Reveals Distinct Adaptive Immune Signatures of Dampness ZHENG Across Psoriasis, Rheumatoid Arthritis and Ulcerative Colitis.

Autoimmune diseases, including psoriasis (Ps), rheumatoid arthritis (RA) and ulcerative colitis (UC), pose significant health burdens worldwide. A more refined classification of these diseases is essential for enabling targeted therapeutic strategies. Traditional Chinese Medicine (TCM) is gaining increasing recognition globally, offering potential insights into disease heterogeneity. In this study...

Federated graph learning with spatio-temporal dynamics for cross-border recommendation.

Cross-border data sharing is strictly constrained by privacy regulations, which presents a critical challenge for recommendation systems due to the se...

Machine learning force fields for inorganic crystalline materials: principles, advances, and emerging applications.

Machine learning force fields (MLFFs) combine the high accuracy of first-principles methods with the high efficiency of classical force fields, offeri...

A subtype of ultrasonic vocalizations during palatable food consumption in rats identified by machine learning-assisted classification.

Identifying behavioral and physiological responses to rewarding stimuli is essential for understanding positive emotional states in animals and for in...

Human salivary microbiome as a potential non-invasive biomarker for early-onset colorectal cancer screening: a prospective study.

BACKGROUND: The incidence of early-onset colorectal cancer (EOCRC) has been increasing in recent years, the carcinogenesis of which has been linked to...

PEPCAL: A Heuristic Framework for Teaching Generative AI to Continuing Professional Education Providers and Faculty Developers.

Generative AI is rapidly evolving with the potential to change the way we think about and provide continuing professional development (CPD) and facult...

Learning to Lead: A Practical Framework for Leadership Development in Canadian Radiology.

Leadership has emerged as a core competency for Canadian radiologists navigating an era of challenges, including the integration of artificial intelli...

Recent Advances in AI for Automated ICD Coding: A Systematic Literature Review.

International Classification of Diseases (ICD) codes enable correct billing, insurance reimbursement, and healthcare analytics. However, manual coding...

AI-Enhanced Predictive Analytics to Optimize Tele-Oncology Implementation in Rural Settings: Scoping Review.

BACKGROUND: Tele-oncology addresses geographic barriers to cancer care, but implementation challenges persist in rural settings. AI-enhanced predictiv...

Parental burnout and children's short-form video and online game use: A specification curve and interpretable deep learning analysis.

Parental burnout has many negative effects on both parents and their children; however, research on the relation between parental burnout and children...

Artificial Intelligence and Clinician Burnout in the United States: A Narrative Review.

Burnout remains one of the defining occupational hazards of healthcare in the United States, and it spares no one on the care team: physicians, nurses...

Stakeholders' discourse on generative AI in higher education: Insights from topic modeling and sentiment analysis.

Owing to their remarkable proficiency in academic tasks, generative AI (GenAI) systems have been widely embraced in the education sector, stimulating ...

Improving hard-to-place kidney allocation: A machine learning approach to center ranking.

Kidney transplantation is the preferred treatment for end-stage renal disease, yet donor scarcity and inefficiencies in allocation systems create majo...

Popformer: Learning general signatures of positive selection with a self-supervised transformer.

Understanding natural selection can help shed light on the genetics underpinning adaptive evolution. The widespread availability of large-scale human ...

Bouncing back from stress: objective markers of expressive flexibility and resilience in emergency healthcare workers using computer vision.

Healthcare workers (HCWs) in emergency departments face significant mental health risk due to chronic stressors and repeated trauma, yet symptom under...

State of Medical Education Research in Anesthesiology: Current Landscape and Future Directions-An Initiative of the Anesthesia Research Council.

BACKGROUND: Without strategic intervention to support medical education research in anesthesiology, the training of future anesthesiologists may be co...

State of Medical Education Research in Anesthesiology: Current Landscape and Future Directions-An Initiative of the Anesthesia Research Council.

BACKGROUND: Without strategic intervention to support medical education research in anesthesiology, the training of future anesthesiologists may be co...

UniFFBench: evaluating universal machine learning force fields against experimental measurements.

Universal machine learning force fields (UMLFFs) promise to revolutionize materials science by enabling rapid atomistic simulations across the periodi...

Reactive Chemistry at the Unrestricted Coupled Cluster Level: High-Throughput Calculations for Training Machine Learning Potentials.

Modeling chemical reactions accurately at the atomistic level requires high-level electronic structure theory due to the presence of unpaired electron...