Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 1,741 to 1,750 of 200,546 articles

Does lens opacity matter? The effect of cataract on deep learning based cardiovascular disease risk scores from fundus photos.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) May 30, 2026
PURPOSE: To investigate the effect of cataracts on a deep learning (DL) model for cardiovascular disease (CVD) risk prediction. METHODS: This retrospective, dual-cohort study analyzed fundus images at baseline, 1, and 6-months post-cataract surgery f... read more 

Digital and technology-enabled approaches in dietary assessment: addressing bias, error, and feasibility in population- and community-based research.

Advances in nutrition (Bethesda, Md.) May 30, 2026
Dietary intake data are essential for understanding diet-disease relationships, informing policy, and evaluating nutrition interventions. This is particularly challenging in population-and community-based research, where varying dietary patterns, mot... read more 

AI-enhanced cardiac digital twins extend drug proarrhythmic risk assessment through experimental data uncertainty propagation and overdose exploration: A loperamide case study.

Regulatory toxicology and pharmacology : RTP May 30, 2026
Drug-induced QT interval prolongation is a key biomarker of proarrhythmic risk and central to drug cardiac safety evaluation alongside in vitro assays and animal studies, yet current preclinical frameworks provide limited insight into how experimenta... read more 

TF-DWGNet: a directed weighted graph neural network with tensor fusion for multi-omics cancer subtype classification.

NAR genomics and bioinformatics May 30, 2026
Integration and analysis of multi-omics data provide valuable insights for improving cancer subtype classification. However, such data are inherently heterogeneous, high-dimensional, and exhibit complex intra- and inter-modality dependencies. Graph n... read more 

Predicting the Host-Guest Binding Gibbs Free Energy for Anion Guests.

Journal of computational chemistry May 30, 2026
Host-guest chemistry is an emerging approach in the design of functional molecular systems, with growing potential in areas such as targeted drug delivery, sensing, and adaptive materials. However, the development of new hosts and finding new guests ... read more 

Entropy Fusion DNA: Alignment-Free Gene Fusion Detection through Entropy and Mutual Information Descriptors

bioRxiv May 30, 2026
Gene fusions are clinically relevant genomic alterations and key cancer biomarkers. Their computational detection remains dominated by alignment-based pipelines, whose reliance on read mapping, reference annotations, and heuristic filtering makes the... read more 
bioinformatics

Cooperative FOXA1-HNF4A binding emerges from motif spacing and nucleosome architecture

bioRxiv May 30, 2026
The pioneer factor hypothesis posits that specialized transcription factors access nucleosomal DNA to enable binding of secondary factors, implying a hierarchical mechanism of chromatin opening. However, recent evidence indicates that cooperative bin... read more 
genomics

Explainable machine learning reveals an RBP regulatory logic of exon skipping

bioRxiv May 30, 2026
RNA binding proteins (RBPs) regulate the life cycle of an mRNA, often through RBP-RNA interactions. This life cycle includes splicing, whereby the intronic sequence of a pre-mRNA is removed and the exons are joined together. However, the patterns of ... read more 
systems biology

A pilot assessment of avian communities and soundscapes along an Amazonian fluvial corridor

bioRxiv May 30, 2026
Quantifying biodiversity patterns in remote Amazonian ecosystems remains constrained by the limitations of traditional field surveys. We combined passive acoustic monitoring (PAM), machine learning, and ecoacoustic metrics to assess the taxonomic and... read more 
ecology

Comparison of AI protein structure ensemble prediction tools

bioRxiv May 30, 2026
Multiple AI prediction tools for protein structural ensembles have recently been released, building on the much heralded advances from AlphaFold, large language models, and other machine-learning approaches. Here we report on a comparison of several ... read more 
biophysics
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