Artificial Intelligence Medical Compendium

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

Showing 1,071 to 1,080 of 213,401 articles

Deep learning framework for kinematic event detection and stimulation decoding in primate reaching behavior

bioRxiv Jul 20, 2026
Accurate analysis of motor behavior requires the reliable detection of ongoing kinematic events and a granular characterization of the changes in motor output that occur in response to neural impairments. This article describes a deep learning framew... read more 
animal behavior and cognition

When does more data help? Spectral Geometry and Scaling Laws in MRI Transformers

bioRxiv Jul 20, 2026
Scaling laws describe how model performance improves as the amount of training data increases, and recent theories such as the zeta law suggest that scaling behavior is influenced by the eigenspectrum of the model's latent representation. Here, we ev... read more 
neuroscience

Deep learning representations of human Immune Health for precision immunology

bioRxiv Jul 20, 2026
The human immune system is composed of [~]30-50 distinct cell types, each of which can exist in different states of activation or differentiation. Indeed, the mammalian immune system has evolved to sense and respond to infections, cancers, injuries, ... read more 
immunology

scRepresenter: a workflow for computing, integrating and benchmarking cellular representations in single-cell transcriptomics

bioRxiv Jul 20, 2026
Motivation: Single-cell RNA sequencing (scRNA-seq) has become an attractive tool for studying complex diseases, in which transient cell states affecting diverse cell populations characterise disease development and progression. However, due to data s... read more 
bioinformatics

Leveraging multiplicity in biologically informed neural networks to uncover disease heterogeneity

bioRxiv Jul 20, 2026
Biologically inspired neural networks (BINNs) embed pathway, ontology, or protein-interaction structure directly into neural networks, promising interpretable disease prediction where hidden nodes map to named biological entities. Yet BINNs have been... read more 
bioinformatics

ProteinDock: A physics-informed layer to improve protein-protein docking reliability

bioRxiv Jul 20, 2026
Computational modeling provides geometric insight into protein-protein interactions without requiring the resources of experimentation. However, reliability can be hindered when modeling proteins with distinctive features, such as antibodies, that us... read more 
bioengineering

Neocortical astrocyte diversity stems from distinct developmental origins

bioRxiv Jul 20, 2026
Key regulators of neural network activity in multiple advanced cognitive processes and essential components of the blood-brain barrier, astrocytes constitute a highly heterogeneous population at the morphological, molecular, and functional levels. Ho... read more 
neuroscience

Diversity and evolution of the transcriptional regulatory networks of Pseudomonas strains revealed using machine learning

bioRxiv Jul 20, 2026
The genus Pseudomonas consists of diverse and ecologically significant species that form close associations with both plants and animals. This genus is widely studied due to the clinically relevant Pseudomonas aeruginosa, model plant pathogen Pseudom... read more 
systems biology

MedZone Embedder: a framework for representation learning of Japanese secondary medical care areas from a national ICU registry, characterizing intensive care provision structure and regional vulnerability

medRxiv Jul 20, 2026
Background: In Japan, acute inpatient care is divided into approximately 335 secondary medical care areas, which serve as the basic units for planning healthcare delivery systems under the 8th National Health Care Plan. While comparisons between regi... read more 
health informatics

Diagnostic Accuracy of MRI Radiomics for Predicting KRAS Mutation in Rectal Cancer: A Systematic Review and Meta-analysis

medRxiv Jul 20, 2026
BackgroundKRAS mutation status is an important biomarker in rectal cancer, with implications for prognosis and treatment response. MRI-based radiomics has emerged as a non-invasive approach for predicting tumor genotypes. However, the diagnostic perf... read more 
radiology and imaging
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