Artificial Intelligence Medical Compendium

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

Showing 32,211 to 32,220 of 220,797 articles

Sustaining Control and Agency Under Threat: Computational Pathways to Persistence and Escape

bioRxiv
Adaptive behavior requires deciding when to persist and when to disengage under uncertainty and partial outcome control. Avoidance has often been studied as a response to threat or cost, yet existing paradigms cannot disentangle whether disengagement... read more 

Cyclome: Large-scale replica-exchange dynamics of 930 cyclic peptide reveal thermal stability and critical metal-binding behavior

bioRxiv
Cyclic peptides are recognized as versatile scaffolds for therapeutic and functional applications due to their structural stability and resistance to degradation. Despite this promise, systematic analysis and prediction of their thermal stability rem... read more 

Pipette: Encoding scientific literature into an executable Skill Graph for multi-agent bioinformatics

bioRxiv
The cost of genomic sequencing has fallen by several orders of magnitude, yet data analysis remains a bottleneck concentrated among researchers with specialized computational expertise. While Large Language Models can generate bioinformatics code, th... read more 

HiReS: A Method for Automated Morphometric Trait Extraction from High-Resolution Plankton Images

bioRxiv
Trait-based analyses in plankton ecology require measurements from large numbers of individuals, yet morphometric data are typically collected manually from small subsets. Although deep learning methods enable automated detection and segmentation, ex... read more 

CRIS: A Centralized Resource for High-Quality RNA Structure and Interaction Data in the AI Era

bioRxiv
As interest in RNA-based therapeutics expands, there is a growing demand for RNA structure elucidation and RNA-RNA interactions in both academic and clinical settings. Despite rapid advances in methods for RNA structure determination, the field faces... read more 

fMRI-Based Prediction of Eye Gaze During Naturalistic Movie Viewing Reveals Eye-Movement-Related Brain Activity

bioRxiv
Background: Eye gaze provides crucial insights into perceptual and cognitive processes during naturalistic movie viewing, yet concurrent eye tracking is often unavailable in functional MRI (fMRI) research. While deep learning models can estimate gaze... read more 

Representational magnitude as a geometric signature ofimage and word memorability

bioRxiv
What makes some stimuli more memorable than others? Recent work has shown that image memorability is predicted by the magnitude of population responses in both monkey inferotemporal cortex and convolutional neural networks, suggesting that stimuli th... read more 

A structure-informed deep learning framework for modeling TCR-peptide-HLA interactions

bioRxiv
The interaction between T cell receptors (TCRs), peptides, and human leukocyte antigens (HLAs) underlies antigen-specific T cell immunity. Despite substantial advances in peptide-HLA presentation prediction, accurate modeling of coupled TCR-peptide-H... read more 

Quad‑polarization synthetic aperture radar dataset for marine oil spill and look‑alike segmentation.

Data in brief
The quad‑polarization oil spill detection dataset is a collection of fully polarimetric L‑band synthetic aperture radar scenes acquired by the NASA/JPL uninhabited aerial vehicle synthetic aperture radar (UAVSAR) over the U.S. Gulf of Mexico from 201... read more 

Deep learning analysis of soybean cyst nematode effectors to proven soybean resistance genes and homolog identification in the sugar beet-sugar beet root maggot plant pathosystem.

Data in brief
Sugar beet (Beta vulgaris ssp. vulgaris) is one of two plants from which sugar is broadly produced, accounting for 55% of U.S. sugar ($1B, U.S.) and 35% global raw sugar ($4.6B), annually. The sugar beet root maggot (Tetanops myopaeformis) is its top... read more