Artificial Intelligence Medical Compendium

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

Showing 64,211 to 64,220 of 231,309 articles

Acoustic remote sensing with deep learning enables non-invasive estimation of seabird nest density

bioRxiv Jan 14, 2026
Passive Acoustic Monitoring (PAM) has advanced ecological research by enabling non-invasive recordings of wildlife vocalizations that provide insight into species presence, behavior, and reproductive activity. This remote-sensing approach is particul... read more 
zoology

NEuRT: A Transformer-Based Model for Explainable Neuronal Activity Analysis

bioRxiv Jan 14, 2026
The study of neuronal activity is essential for understanding brain function and its alterations in neurodegenerative diseases. Advances in in vivo imaging have enabled real-time observation of neuronal dynamics, but classical statistical methods str... read more 
neuroscience

3D reconstruction of spatial transcriptomics with spatial pattern enhanced graph convolutional neural network

bioRxiv Jan 14, 2026
Spatially resolved transcriptomics (SRT) is a promising new technology that enables simultaneous analysis of gene expression and spatial information for biomedical research. However, the existing statistical and deep learning algorithms used for anal... read more 
bioinformatics

LoopBin, a VaDE-based neural network for chromatin loop classification

bioRxiv Jan 14, 2026
Classifying chromatin loops from 3D genomics data according to their epigenetic and structural attributes is important for inferring their functional roles. Currently, such classification typically relies on the manual intersection of epigenomic sign... read more 
bioinformatics

Deep learning-guided design of cell type-specific AAV promoters

bioRxiv Jan 14, 2026
Precise cell type targeting is critical for both clinical and experimental applications of adeno-associated viral (AAV) vectors, yet engineering vectors with cell type-specific activity remains a challenge. Here, we compared three strategies leveragi... read more 
synthetic biology

Monte Carlo simulations to propagate the uncertainty of machine-learning classification into ecological models

bioRxiv Jan 14, 2026
Deep learning (DL) is increasingly integrated into quantitative ecology, particularly for automating the classification of sensor data in biodiversity monitoring. In addition to substantially reducing data processing effort, DL models often achieve h... read more 
ecology

Unifying phylogenetic traversal and deep learning to guide tree exploration

bioRxiv Jan 14, 2026
Deep learning offers hope for more efficient phylogenetic inference methods. However, it has yet to have the transformative effect on phylogenetics that it has had in other fields. Here we present a novel approach that combines deep learning with con... read more 
bioinformatics

Origin-1: a generative AI platform for de novo antibody design against novel epitopes

bioRxiv Jan 14, 2026
0Generative artificial intelligence has advanced antibody discovery, yet de novo design of therapeutic antibodies against targets with "zero-prior" epitopes remains a fundamental challenge. We define "zero-prior" epitopes as target sites lacking stru... read more 
molecular biology

Automating the Construction of Contextualized Biomedical Knowledge Graphs for Scientific Inference

bioRxiv Jan 14, 2026
Biomedical interactions are inherently dynamic, often shifting or even reversing under specific physiological states. However, existing extraction methods simplify these complex mechanisms into context-agnostic binary associations, resulting in seman... read more 
bioinformatics

Sequence constraints predispose Class D GPCRs to follow an atypical activation mechanism

bioRxiv Jan 14, 2026
The biophysical principles underlying distinct conformational changes in proteins with similar topologies remain poorly understood. Class D G Protein-Coupled Receptors (GPCRs), fungal pheromone-sensing receptors essential for mating and survival, exh... read more 
biophysics
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