Artificial Intelligence Medical Compendium

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

Showing 14,451 to 14,460 of 211,815 articles

Can Breath Biomarkers Causally Influence Blood Glucose? Investigating VOC-Mediated Modulation in Diabetes

arXiv May 21, 2026
Diabetes is a global health burden, and early detection is critical for timely intervention. This study explores a non-invasive, data-driven framework to identify individuals at risk of diabetes using Volatile Organic Compounds (VOCs) and lifestyle v... read more 
Machine Learning q-bio.QM

scDeepVariant: A population-informed deep learning framework for germline variant calling in scRNA-seq

bioRxiv May 21, 2026
Single-cell RNA sequencing (scRNA-seq) provides unprecedented resolution of cellular heterogeneity while also capturing information on germline genetic variation, but accurate variant calling remains limited by sparse coverage, allelic imbalance, and... read more 
bioinformatics

Toward CT-based Tractography: Presurgical White Matter Tract Mapping in Intracerebral Hemorrhage

bioRxiv May 21, 2026
Presurgical mapping of key white matter (WM) fiber tracts is crucial for intracerebral hemorrhage (ICH) surgery, but it currently relies on tractography from diffusion MRI (dMRI), which has limited applicability in urgent or resource-constrained sett... read more 
neuroscience

geneML: Gene annotation across diverse fungal species using deep learning

bioRxiv May 21, 2026
Accurate gene prediction remains a major bottleneck in fungal genomics, where lineage diversity and alternative splicing challenge existing ab initio methods. Here, we present geneML, a deep learning-based gene prediction tool tailored to fungal geno... read more 
bioinformatics

A Systematic Comparison of tTIS Optimization Approaches for Focal Neuromodulation

bioRxiv May 21, 2026
stimulation (tTIS) is a promising non-invasive brain stimulation technique that has the potential to selectively modulate deep brain regions by delivering two high-frequency alternating currents that interfere to produce a low-frequency amplitude-mod... read more 
neuroscience

Explainable AI reveals the quantitative hierarchical architecture of global bird extinction risk

bioRxiv May 21, 2026
Identifying what makes species vulnerable to extinction requires accounting for complex biological and environmental interactions. Due to their high predictive accuracy, machine learning methods have been widely used for these assessments; however, r... read more 
ecology

De novo designed cyclic MC4R peptide agonist reduces food intake in mice

bioRxiv May 21, 2026
Deep learning-based structure prediction enables the design of peptide ligands without relying on naturally occurring scaffolds. However, most computationally generated peptides are not advanced beyond initial activity measurements, leaving the path ... read more 
molecular biology

Progeny differentiation in faba bean using hyperspectral images and machine learning

bioRxiv May 21, 2026
Though currently a minor crop, faba bean is a promising source of plant-based protein as global diets shift towards more plant-based nutrition. To realise this potential, advances in breeding and cultivation are crucial. To exploit heterosis, faba be... read more 
genetics

S-IGTD: supervised tabular-to-image topology learning via between-group correlation for multiclass classification of biological data

bioRxiv May 21, 2026
Motivation: Tabular-to-image methods allow convolutional neural network (CNN)-based classifiers to analyse high-dimensional biological tables by mapping features onto a two-dimensional grid. Existing layouts are usually driven by unsupervised global ... read more 
bioinformatics

BioRAG-DRAG: A Multimodal Biological Retrieval Layer for Local-First Biomedical Agents

bioRxiv May 21, 2026
Biomedical agents need reliable access to heterogeneous evidence: literature text, gene and pathway records, protein sequences, DNA/cDNA sequences, and structured biological relations. Classical sequence tools such as BLAST remain the right choice fo... read more 
bioinformatics
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