AI Medical Compendium

Trans-omics analyses identify the biochemical network of LPCAT1 associated with coronary artery disease.

Biomarker research Aug 20, 2025

BACKGROUND: Coronary artery disease (CAD) remains a leading cause of mortality in developed nations. While previous genome-wide association studies have identified single-nucleotide polymorphisms (SNPs) linked to CAD, their impact on disease progress... read more

FedVGM: Enhancing Federated Learning Performance on Multi-Dataset Medical Images with XAI.

IEEE journal of biomedical and health informatics Aug 20, 2025

Advances in deep learning have transformed medical imaging, yet progress is hindered by data privacy regulations and fragmented datasets across institutions. To address these challenges, we propose FedVGM, a privacy-preserving federated learning fram... read more

Author Correction: A comprehensive investigation of morphological features responsible for cerebral aneurysm rupture using machine learning.

Scientific reports Aug 20, 2025

Non-genetic neuromodulation with graphene optoelectronic actuators for disease models, stem cell maturation, and biohybrid robotics.

Nature communications Aug 20, 2025

Light can serve as a tunable trigger for neurobioengineering technologies, enabling probing, control, and enhancement of brain function with unmatched spatiotemporal precision. Yet, these technologies often require genetic or structural alterations o... read more

Humans Brain Animals Robotics Cell Differentiation Neurons Alzheimer Disease Graphite Optogenetics Induced Pluripotent Stem Cells Organoids

LBONet: Supervised Spectral Descriptors for Shape Analysis.

IEEE transactions on pattern analysis and machine intelligence Aug 20, 2025

The Laplace-Beltrami operator has established itself in the field of non-rigid shape analysis due to its many useful properties such as being invariant under isometric transformation, having a countable eigensystem forming an orthornormal basis, and ... read more

Machine learning-based prediction model for post-stroke cerebral-cardiac syndrome: a risk stratification study.

Scientific reports Aug 20, 2025

Cerebral-cardiac syndrome (CCS) is a severe cardiac complication following acute ischemic stroke, often associated with adverse outcomes. This study developed and validated a machine learning (ML) model to predict CCS using clinical, laboratory, and ... read more

Humans Machine Learning Retrospective Studies Female Risk Factors Aged Male Middle Aged Risk Assessment Logistic Models Support Vector Machine Stroke

A multi-scale neighbor topology guided transformer and Kolmogorov-Arnold network enhanced feature learning model for disease-related circRNA prediction.

IEEE journal of biomedical and health informatics Aug 20, 2025

As circular non-coding RNA (circRNA) is closely associated with various human diseases, identifying disease-related circRNAs can provide a deeper understanding of the mechanisms underlying disease pathogenesis. Advanced circRNA-disease association pr... read more

Machine learning based on pangenome-wide association studies reveals the impact of host source on the zoonotic potential of closely related bacterial pathogens.

Communications biology Aug 20, 2025

Variations in host species significantly impact bacterial growth traits and antibiotic resistance, making it essential to consider host origin when evaluating the zoonotic potential of pathogens. This study focuses on multiple Brucella species, which... read more

Humans Machine Learning Animals Swine Genome-Wide Association Study Cattle Brucellosis Whole Genome Sequencing Sheep Genome, Bacterial Zoonoses Brucella

Support vector machines predict postoperative memory outcomes in temporal lobe epilepsies.

Epilepsia open Aug 20, 2025

OBJECTIVE: We aimed to predict the side of epilepsy as well as the pre- and postoperative verbal and nonverbal memory performance in a cohort of left and right temporal lobe epilepsy (TLE) patients based on hippocampal activations during three differ... read more

Clinical and Economic Evaluation of a Real-Time Chest X-Ray Computer-Aided Detection System for Misplaced Endotracheal and Nasogastric Tubes and Pneumothorax in Emergency and Critical Care Settings: Protocol for a Cluster Randomized Controlled Trial.

JMIR research protocols Aug 20, 2025

BACKGROUND: Advancements in artificial intelligence (AI) have driven substantial breakthroughs in computer-aided detection (CAD) for chest x-ray (CXR) imaging. The National Taiwan University Hospital research team previously developed an AI-based eme... read more

Humans Artificial Intelligence Pilot Projects Taiwan Randomized Controlled Trials as Topic Critical Care Cost-Benefit Analysis Radiography, Thoracic Intubation, Intratracheal Intubation, Gastrointestinal Pneumothorax

Artificial Intelligence Medical Compendium