AI Medical Compendium

Severity-dependent alterations of EEG microstate dynamics in obsessive-compulsive disorder.

Progress in neuro-psychopharmacology & biological psychiatry Apr 10, 2026

BACKGROUND: While elevated symptom severity in obsessive-compulsive disorder (OCD) is associated with a profound clinical burden and escalating psychiatric risks, the underlying large-scale network dynamics remain poorly understood. Electroencephalog... read more

Identifying mitochondria-related signatures for tuberculosis diagnosis through machine learning on single-cell transcriptomics data and experimental verification.

Microbial pathogenesis Apr 10, 2026

Tuberculosis (TB) remains a major cause of infectious disease mortality. Early diagnosis is crucial for curbing transmission and initiating timely treatment. However, the lack of reliable non-sputum-based diagnostic tools often delays prompt detectio... read more

Radiographic evaluation of the psoas and iliopsoas muscle as predictors for spinal cord ischemia after fenestrated and branched endovascular aortic repair.

Journal of vascular surgery Apr 10, 2026

OBJECTIVE: This study aimed to investigate the association between sarcopenia and spinal cord ischemia (SCI) after fenestrated and branched endovascular aortic repair (F/B-EVAR) using two- and three-dimensional measurements of the psoas and iliopsoas... read more

Artificial intelligence revolutionizing CNS drug discovery and development.

Drug discovery today Apr 10, 2026

Central nervous system (CNS) drug discovery faces high attrition rates, long timelines and substantial costs due to complex disease biology and the difficulties in safe drug delivery. Conventional CNS processes remain slow and trial-and-error driven.... read more

AI-assisted protocol information extraction for improved accuracy and efficiency in clinical trial workflows.

Journal of biomedical informatics Apr 10, 2026

Increasing clinical trial protocol complexity, amendments, and challenges around knowledge management create significant burden for trial teams. Structuring protocol content into standard formats has the potential to improve efficiency, support docum... read more

Accelerated long-read variant calling with Clair3 for whole-genome sequencing.

Bioinformatics (Oxford, England) Apr 10, 2026

SUMMARY: The rapid growth of genomic data and increasing adoption of long-read sequencing technologies have rendered variant calling one of the most computationally demanding tasks in genomic analysis. Although deep learning-based methods currently o... read more

DrugBLIP: Exploring the Protein-Molecule Interaction Mechanisms with a Multi-task Learning Graph Transformer.

Bioinformatics (Oxford, England) Apr 10, 2026

MOTIVATION: Traditional drug discovery methods are costly and inefficient, while existing deep learning approaches remain limited by task specificity and practical applicability. Accurately modeling protein-molecule interactions is critical for advan... read more

Paging the Algorithm: Applying the Best Available Human Principle to Graduate Medical Education.

Academic medicine : journal of the Association of American Medical Colleges Apr 10, 2026

Artificial intelligence (AI) is transforming graduate medical education (GME), yet formal training in its responsible use remains limited. As AI capabilities expand, trainees increasingly adopt these tools informally and without structured oversight,... read more

Artificial intelligence at the frontlines: Emerging infectious and parasitic diseases in the digital era.

New microbes and new infections Apr 10, 2026

Emerging infectious diseases are one of the most significant threats to global health, driven by many factors such as zoonotic spillovers, climate change, globalization, and antibiotic resistance. While a great deal of attention is focused on viral a... read more

Accurate and interpretable ADMET prediction: Integrating structural, geometric, and global molecular context representations.

European journal of medicinal chemistry Apr 9, 2026

Predicting absorption, distribution, metabolism, excretion, and toxicity (ADMET) profiles early in drug discovery is essential to avoid late-stage failures. However, most current computational models depend on single-view molecular representations. T... read more

Artificial Intelligence Medical Compendium