Artificial Intelligence Medical Compendium

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

Showing 12,921 to 12,930 of 210,785 articles

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

Equilibrium Propagation with Predictive Learning in Leaky Integrate-and-Fire Spiking Neural Networks

bioRxiv May 21, 2026
Equilibrium propagation (EP) is a biologically plausible alternative to backpropagation that has demonstrated competitive performance across a range of machine learning tasks. Recent work has extended EP to spiking neural networks (SNNs), leveraging ... read more 
neuroscience

Antimicrobial peptide databases and prediction tools: Toward a standard evaluation framework

bioRxiv May 21, 2026
Antimicrobial resistance (AMR) has a profound impact on animal and human health and is associated with substantial morbidity, mortality and public health costs. There is a clear need to develop novel, effective antibiotic agents, which can overcome t... read more 
bioinformatics

DigitAb: Domain-Adaptive Cell Type Prediction Method from Light Microscopy Images

bioRxiv May 21, 2026
Light microscopy imaging with histological stains is central to disease diagnosis and research. It is enhanced with immunostaining to reveal cellular composition and complexity linked to clinical utility and biological mechanisms. Emerging multiplex ... read more 
pathology

A single-nucleotide change in the Kozak sequence enhances protein expression

bioRxiv May 21, 2026
In vitro-transcribed messenger RNA (IVT mRNA) has emerged as a versatile protein expression platform with broad clinical potential. Current optimization strategies for IVT mRNA focus on untranslated regions (UTRs), mRNA stability, and codon usage, of... read more 
bioengineering
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