Artificial Intelligence Medical Compendium

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

Showing 45,711 to 45,720 of 224,055 articles

Upcycling Polyethylene into Poly(3-hydroxybutyrate) via a Chemo-Enzymatic-Microbial Cascade

bioRxiv Mar 2, 2026
Polyethylene (PE) plastics are extensively utilized across agricultural, industrial, and medical sectors owing to their favorable physicochemical properties. However, their chemical stability and escalating production have resulted in severe waste ac... read more 
biochemistry

Frequency-dependent diffusion tensor distribution imaging in the evaluation of ischemic stroke

bioRxiv Mar 2, 2026
Non-invasive MRI is widely used to assess and monitor ischemic stroke, yet conventional approaches often lack sensitivity to subtle microstructural changes and struggle to evaluate tissue viability across lesion, penumbra, and distal regions. In this... read more 
neuroscience

Improved Classification of Acute Physical Fatigue Using Salivary Proteomic Biomarkers: An Exploratory Study

bioRxiv Mar 2, 2026
Introduction: Physical fatigue is a key determinant of operational readiness in the physically demanding occupations of tactical athletes. Specific hormonal, immune, and enzymatic biomarkers have been proposed for fatigue assessment, but their reliab... read more 
physiology

t2pmhc: A Structure-Informed Graph Neural Network to predict TCR-pMHC Binding

bioRxiv Mar 2, 2026
Mapping of T cell receptors (TCRs) to their cognate MHC-presented peptides (pMHC) is central for the development of precision immunotherapies and vaccine design. However, accurate prediction of TCR affinity to peptide antigens remains an open challen... read more 
bioinformatics

Evaluation of deep learning tools for chromatin contact prediction

bioRxiv Mar 2, 2026
Three-dimensional chromatin organization is essential for gene regulation and is commonly measured using Hi-C contact maps. Recent deep learning models have been developed to predict Hi-C maps from genomic and epigenomic features. However, their rela... read more 
bioinformatics

Crop-OCT: a Fully Integrated Imageomics Pipeline to Identify Regional and Focal Retinopathy in Murine Models

bioRxiv Mar 2, 2026
Imageomics uses machine learning to accelerate our understanding of biological traits and human disease processes. Some of the earliest imageomics applications used deep learning to assess human diseases. For example, retinal fundus images were analy... read more 
neuroscience

VascFlexMap: Microvascular Ultrasound Imaging at Low Frame Rates Using Sparse Data and a Transformer-Decoder Network

bioRxiv Mar 2, 2026
Objective: Superresolution ultrasound (SR US) reveals microvascular structures with exquisite resolution, but clinical translation remains limited by the need for ultrafast frame rates, massive data volumes, and long reconstruction times. This work p... read more 
bioengineering

Genomic language models improve cross-species gene expression prediction and accurately capture regulatory variant effects in Brachypodium mutant lines

bioRxiv Mar 2, 2026
Predicting gene expression from cis-regulatory DNA sequences at the promoter and terminator regions is a central challenge in plant genomics. This capability is also a prerequisite for assessing the effects of regulatory mutations on gene expression.... read more 
bioinformatics

DNA fragment length analysis using machine learning assisted vibrational spectroscopy

bioRxiv Mar 2, 2026
DNA length analysis is essential for genomic workflows including next-generation sequencing and fragmentomics based diagnostics. Conventional approaches typically require large, expensive instrumentation and sample-destructive protocols with long pro... read more 
bioinformatics

Detecting Extrachromosomal DNA from Routine Histopathology

bioRxiv Mar 2, 2026
Extrachromosomal DNA (ecDNA) is a major driver of oncogene amplification, tumour heterogeneity and poor clinical outcomes [1-3], yet its detection relies on specialised genomic assays that are not integrated into routine diagnostics. Here, we show th... read more 
bioinformatics
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