Artificial Intelligence Medical Compendium

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

Showing 49,031 to 49,040 of 224,513 articles

Face and body representations converge along the visual hierarchy in models and cortex

bioRxiv
Person perception relies on visual cues from faces and bodies, but whether the brain processes these signals separately or jointly remains unclear. Here, we test the extent to which face and body representations emerge as segregated or integrated in ... read more 

Classifier architecture and data preprocessing jointly shape accelerometer-based behavioural inference

bioRxiv
1. Although the use of accelerometer-based behavioural classification to quantify animal activity budgets is gaining widespread traction, the interactions between key preprocessing decisions and modern classification algorithms remain poorly understo... read more 

Anatolution, an online platform for consensus morphology

bioRxiv
Introduction: Supervised statistical learning for cell-level segmentation and morphometry in optical microscopy is limited less by algorithmic capacity than by the scarcity of reliable, expert-validated ground truth. In comparative neuroscience and q... read more 

Value-Based Evidence Accumulation as a Transdiagnostic Marker of General Distress

bioRxiv
General distress cuts across psychiatric symptom domains, yet its computational correlates remain poorly defined. We examined whether drift rate, a core parameter indexing the efficiency of evidence accumulation, is more strongly associated with gene... read more 

CLM-X: A multimodal single-cell foundation model with flexible multi-way Transformer for unified scRNA-seq and scATAC-seq analysis

bioRxiv
Advances in single-cell multimodal profiling have enabled a more systematic analysis of cellular biology, yet the rapid accumulation of large-scale, heterogeneous datasets poses substantial challenges for integrative analysis. Recently, Transformer-b... read more 

TMS timed to interictal epileptiform discharges

bioRxiv
Interictal epileptiform discharges (IEDs) are pathological hypersynchronous bursts of electrical brain activity that occur between seizures in patients with epilepsy. IEDs are caused by transient brain states that are difficult to predict, making the... read more 

Phylogenetic estimation of diversity-dependent biogeographic rates using deep learning

bioRxiv
Ecological theory predicts that local species richness can influence biogeographic rates of speciation, extinction, and dispersal. For instance, increasing the number of competing species within a region may cause local speciation and dispersal rates... read more 

A Hybrid PINN-DE Framework for Data-Driven Parameter Estimation of Tumor-Immune Dynamics in Bladder Cancer

bioRxiv
Bladder cancer presents significant clinical challenges due to its complex immune microenvironment and highly heterogeneous response to treatments. To create accurate, individualized models of disease progression, we first construct a system of Ordin... read more 

MGIDI selection and machine learning reveal harvest index driving traits in sodium azide-induced rice mutants with SSR-based genetic diversity

bioRxiv
Sodium azide mutagenesis offers a powerful approach to generate genetic diversity for rice improvement, yet comprehensive characterization of mutant populations using integrated modern breeding tools remains limited. M3 mutants of BRRI dhan28-induced... read more 

A NOVEL DEEP LEARNING MODEL, RDBCYCYLEGAN-CBAM FOR LOW-DOSE CT IMAGE DENOISING

bioRxiv
Computed Tomography (CT) is one of the largest contributors to radiation exposure from medical imaging, which can induce DNA damage and increase cancer risk. Reducing CT radiation dose to improve patient safety inherently increases image noise and ar... read more