Canine mammary tumors (CMTs) are the most common neoplasms in intact female dogs, yet early detection remains challenging due to the lack of clinically validated, noninvasive biomarkers. This study aimed to develop a noninvasive diagnostic model for ... read more
Proceedings of the National Academy of Sciences of the United States of America
Jan 21, 2026
Geometric Deep Learning (GDL) unifies a broad class of machine learning techniques from the perspectives of symmetries, offering a framework for introducing problem-specific inductive biases like Graph Neural Networks (GNNs). However, the current for... read more
Processing wireless RF signals using analog electromagnetic (EM) wave-based neural networks enables energy efficiency and parallelism by integrating sensing, memory, and computation, avoiding analog-to-digital conversions (ADCs) and the von-Neumann b... read more
Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association
Jan 21, 2026
Artificial intelligence is rapidly reshaping gastroenterology through demonstrable gains in diagnostic precision, procedural quality, and operational efficiency. AI-assisted colonoscopy has consistently shown absolute improvements of 5%-10% in adenom... read more
BACKGROUND: Endometrial carcinoma (UCEC) exhibits a rising incidence in China, imposing a substantial burden on both women and society. Identifying biomarkers for UCEC is critical for precise diagnosis and treatment. METHODS: RNA-seq data for UCEC an... read more
BACKGROUND AND AIMS: The accurate and timely diagnosis of ileus versus volvulus is essential in emergency care, as treatment choices directly influence patient outcomes. In this study, the diagnostic accuracy and adherence to guidelines of multidisci... read more
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