Artificial Intelligence Medical Compendium

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

Showing 16,041 to 16,050 of 213,401 articles

Computational Transformation of Chemical Biology for Precision Therapeutics: Facilitating In-Silico Study of Role of Cuproptosis in Early Detection of Alzheimers Disease

medRxiv May 21, 2026
Background: Alzheimers disease (AD) is a multifactorial neurodegenerative disorder in which copper dyshomeostasis, mitochondrial stress, oxidative injury and immune dysregulation may contribute to pathogenesis. Cuproptosis, a copper-triggered regulat... read more 
health informatics

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

DeepBioGS: a hybrid framework for integrating crop growth modelling with genomic prediction through neural networks

bioRxiv May 21, 2026
Ensuring global food security under rapid climate change demands accelerated genetic gain and breeding strategies that address complex Genotype-by-Environment (GxE) interactions. Traditional genomic selection models often fail to account for novel or... read more 
plant biology

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
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