Artificial Intelligence Medical Compendium

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

Showing 5,121 to 5,130 of 204,028 articles

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

Boundary-Specific Failure Modes and Safety Trade-offs of Large Language Models in ChronicKidney Disease Renoprotective Therapy Review:A Stratified Synthetic Benchmark

medRxiv May 30, 2026
Background.Renoprotective therapies - SGLT2 inhibitors, finerenone, and renin-angiotensin system inhibitors (RASi) - remain underutilisedin chronic kidney disease (CKD). Large language models (LLMs) may detect therapy omissions, but their performance... read more 
nephrology

High-dimensional Characterization of Genome-Environment Fitness Landscapes in Klebsiella pneumoniae

medRxiv May 30, 2026
Background Bacterial fitness is shaped by interactions between genome variation and environmental context, yet how these interactions determine its predictability and heritability remains unclear. In the clinically important pathogens of Klebsiella p... read more 
genetic and genomic medicine

Towards A Foundation Model for Clinical Voice Biomarkers

medRxiv May 30, 2026
Vocal biomarkers, encompassing voice and speech, have largely been developed for individual conditions in isolation, limiting their generalizability across diseases and recording settings. To address this, we introduce VoiceFM, a contrastive model th... read more 
health informatics

Deep learning optimisation for cardiology: Neural Architecture Search-driven arrhythmia classification with electrocardiograms

medRxiv May 30, 2026
Cardiovascular disease is the leading cause of death worldwide. Sudden cardiac death (SCD) accounts for roughly 50% of all cardiac deaths. The electrocardiogram (ECG) is widely used for early diagnosis of cardiac disease. However, the complexity of a... read more 
cardiovascular medicine
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