Artificial Intelligence Medical Compendium

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

Showing 1,521 to 1,530 of 200,346 articles

PRIME: An evaluation framework for protein representation inference and generalization in viral mutation space.

BMC genomics May 30, 2026
BACKGROUND: Protein language models (PLMs) have revolutionized protein fitness prediction, yet their application to rapidly evolving viral pathogens is often confounded by extreme sequence homology. This homology leads to "data leakage" in standard r... read more 

Gut microbial alterations and functional shifts in patients with hypertriglyceridemia: insights from a northwestern Chinese metagenomic study.

International microbiology : the official journal of the Spanish Society for Microbiology May 30, 2026
Although hypertriglyceridemia (HTG) is a significant contributor to lipid-associated pathologies such as atherosclerotic cardiovascular disease, its regulation by host‒microbiome interactions remain insufficiently characterized. While the gut microbi... read more 

Relationship between ileocolic arterial stump length and lymph node yield - a retrospective study using machine learning.

Langenbeck's archives of surgery May 30, 2026
PURPOSE: In right-sided colon cancer surgery, ileocolic artery stump length may reflect the extent of mesenteric resection and lymph node harvest. This study evaluated the association between postoperative stump length measured on CT, lymph node yiel... read more 

Proteomic profiling of bone for the estimation of post-mortem interval and post-mortem submersion interval: a systematic review.

International journal of legal medicine May 30, 2026
Accurate estimation of the Post-Mortem Interval (PMI) and Post-Mortem Submersion Interval (PMSI) remains a persistent challenge in forensic science, especially when traditional morphological and entomological methods fail due to advanced decompositio... read more 

Innovative teaching in legal medicine through forensic simulation: a case-based educational project.

International journal of legal medicine May 30, 2026
In Italy, forensic medicine education is traditionally theory-based, which limits students' access to practical experiences due to confidentiality constraints and the complexity of real cases. This paper describes a forensic simulation conducted at t... read more 

A Nonlinear Multi-Objective Prediction Strategy for Small-Sample Datasets in Homogeneous Catalysis.

Journal of computational chemistry May 30, 2026
The development of homogeneous catalytic reactions is hindered by the resource-intensive nature of traditional experimental and computational methods, particularly when dealing with small, sparse datasets and complex multi-objective optimization. Whi... 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 

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

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

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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