N6,2'-O-dimethyladenosine (m6Am) is a critical RNA modification that plays a pivotal role in regulating RNA stability, translation efficiency, and gene expression. Accurate computational identification of m6Am sites is essential for advancing epitran... read more
International journal of medical informatics
Apr 24, 2026
BACKGROUND: Gastric adenocarcinoma (GAC) remains a major global health burden with marked heterogeneity, complicating diagnosis and prognostic assessment. The Laurén classification, though widely used, suffers from interobserver variability, particul... read more
This study integrated machine learning and explainable artificial intelligence (XAI) to classify four processing degrees of Eucommiae cortex (EC): raw, under-processed, moderately processed and over-processed. Powder characteristics (L⁎, a⁎, b⁎), and... read more
Computer methods and programs in biomedicine
Apr 24, 2026
BACKGROUND AND OBJECTIVE: With the rapid growth of internet technologies, the transmission and storage of multimedia data have become increasingly convenient. However, digital images, especially in the healthcare domain, are often more popular and se... read more
Nuclei segmentation and classification is a fundamental task in the field of computational pathology. Existing approaches have demonstrated outstanding performance. However, they still suffer from the efficiency problem due to the extremely huge reso... read more
Mammalian synthetic biology holds great promise for treating complex diseases but faces challenges such as functional leakage and imprecise control dynamics. The advent of synthetic promoters (synPs) and transcription factors (synTFs) has expanded th... read more
Tractometry, also known as tract profiling, is a powerful technique for probing microstructural properties along white matter (WM) tracts. A prerequisite for tractography-based tractometry is bundle parcellation-the subdivision of WM bundles into sma... read more
Accurate fine-grained classification of ovarian tumors from ultrasound images remains challenging due to speckle noise, boundary ambiguity, structural heterogeneity, and acquisition-induced spurious correlations. To address these issues, we propose a... read more
Journal of minimally invasive gynecology
Apr 24, 2026
OBJECTIVE: To systematically evaluate the task-specific performance and clinical translational readiness of artificial intelligence (AI) applications across the preoperative, intraoperative, and postoperative phases of minimally invasive gynecologic ... read more
With the evolving structure of modern internet gaming, adolescent internet gaming disorder (IGD) has become an increasingly serious public health concern demanding societal attention. Recent research has shifted towards employing more robust machine ... read more
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.