Artificial Intelligence Medical Compendium

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

Showing 19,861 to 19,870 of 215,899 articles

Shared roles and team membership are reflected in functional connectome similarity: Neural evidence from real-world volleyball teams

bioRxiv May 13, 2026
In task-oriented teams, long-term coordination among specialized roles may contribute to shared patterns of cognition and behavior, yet little is known about how such experience is reflected in brain functional organization. Here, we examined whether... read more 
neuroscience

Disease-guided functional gene mapping across species reveals translational correspondences beyond sequence orthology

bioRxiv May 13, 2026
Selecting the correct mouse gene to model a human disease phenotype is critical for translational research, yet sequence-based orthology can fail when genes have been lost, duplicated, or functionally rewired between species. Here we present BRIDGE (... read more 
bioinformatics

Tuning into the city soundscape: Optimizing Convolutional Neural Networks for avian acoustic identification in the neotropics and evaluating their performance against established monitoring approaches.

bioRxiv May 13, 2026
Convolutional Neural Networks (CNNs) have become increasingly prominent in biodiversity monitoring due to their strong performance in accurately detecting species from sound recordings, overcoming some limitations of traditional methods such as point... read more 
ecology

BiLSTM-Powered Bilinear Attention for Protein-Ligand Prediction

bioRxiv May 13, 2026
Rapid and accurate prediction of protein-ligand bindings is essential for drug discovery. While generative AI has driven rapid advancements in structure-based approaches, sequence-based methods remain significantly faster and more cost-effective. Her... read more 
bioinformatics

An explainable machine learning consensus framework for robust estimations of environmental effects on population dynamics

bioRxiv May 13, 2026
Explainable machine learning (ML) methods are gaining increasing attention in environmental and ecological research for their ability to reveal relationships between environmental drivers and population dynamics. However, there remain questions on th... read more 
ecology

MechAInistic: An LLM-guided Multi-Agent System for Reasoning over Genome-Scale Constraint-Based Metabolic Models

bioRxiv May 13, 2026
Constraint-based metabolic modeling is a powerful way to study the mechanistic basis of cellular states and disease, but its effective use demands substantial computational expertise and careful coordination of multi-step analyses. We developed MechA... read more 
systems biology

Bayesian-Steered Structure Prediction of Mechanical Biomolecules Using Twisted Diffusion

bioRxiv May 13, 2026
Deep learning approaches have revolutionized protein structure prediction. These tools are trained using experimental data and recapitulate reported conformations, but there is great interest in predicting conformations that may be functionally relev... read more 
bioinformatics

Genomic Foundation Models Reveal Chromatin-Domain-Scale Transposable Element Impacts on Rice Genome Architecture

bioRxiv May 13, 2026
Alignment-based detection of transposable element (TE) insertion polymorphisms suffers from reference bias and multi-mapping errors in repetitive genomic regions, creating a fundamental validation bottleneck for population-scale structural variant ca... read more 
plant biology

Pretraining Objective Shapes Cross-Category Generalization in Affective Image Prediction: A Geometric Comparison of Vision Transformer Encoders

bioRxiv May 13, 2026
The geometry of representations learned by deep neural networks is shaped jointly by architecture and pretraining objective, yet disentangling these two factors remains difficult. Here we isolate the contribution of pretraining objective by comparing... read more 
neuroscience

Generative machine learning unlocks the first proteome-wide image of human cells

bioRxiv May 13, 2026
The spatial organization of proteins within cells governs virtually all cellular functions. Yet, current imaging technologies can simultaneously visualize only tens of proteins, orders of magnitude below the thousands that populate a single human cel... read more 
cell biology
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