Artificial Intelligence Medical Compendium

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

Showing 12,881 to 12,890 of 210,785 articles

Morphing median fin enhances untethered tuna-inspired robotic fish's linear acceleration and turning maneuverability.

Bioinspiration & biomimetics May 22, 2026
Median fins in fish-like swimmers critically govern linear acceleration and maneuvering performance, yet their function remains underexplored in untethered robotic systems. To address this gap, we developed a free-swimming tuna-inspired robotic fish ... read more 

The progesterone to estradiol ratio predicts fear extinction in mice and humans.

Neurobiology of stress May 22, 2026
Sex differences in fear memory are well documented, yet the role of menstrual cycle phases and ovarian hormone dynamics remains unclear. Here, we investigated the individual and combined effects of progesterone and estradiol on fear acquisition and w... read more 

Large-scale bathymetry in high-turbidity rivers enabled by remote sensing and artificial intelligence.

Environmental science and ecotechnology May 22, 2026
Water depth, as a direct indicator of a river's continuous underwater topography, provides crucial information for studies such as investigating channel morphological evolution, modeling sediment transport, and quantifying material flux. Conventional... read more 

Large-Scale Assessment of Animal-to-Human Drug Translation Using Natural Language Processing

bioRxiv May 22, 2026
Background: Large-scale estimates of animal-to-human drug translation and the study characteristics associated with successful translation remain limited. The expanding preclinical literature also challenges manual evidence synthesis. We developed a ... read more 
bioinformatics

Application of modern mathematical methods for species discrimination in the water fleas (Cladocera: Branchiopoda) that appear similar to the human eye: case of Bosmina (Bosmina) longirostris (O.F. Muller, 1776) from European Eurasia and Sakhalin Island

bioRxiv May 22, 2026
Intraspecific morphological variability presents a complex challenge for biological systematics and biomonitoring, particularly for organisms with high phenotypic plasticity, such as zooplankton. Morphological differences between individuals of the w... read more 
zoology

Internal state dynamically gates task-specific attractor dynamics in prefrontal cortex

bioRxiv May 22, 2026
Internal states such as motivation and task engagement influence cognitive functions. Working memory, which maintains information over time, is an essential component of cognition and is modulated by motivation. Here, we show motivational states modu... read more 
neuroscience

A Competitive Framework for Modeling EEG Microstate Durations

bioRxiv May 22, 2026
Background. This study examines a competition based model (Cmodel) designed to capture the temporal dynamics of successive brain microstates derived from electroencephalography (EEG) recordings during eyes-open conditions. The analyzed data were obta... read more 
neuroscience

A community machine learning challenge to predict the effects of gene perturbations on T cell differentiation for cancer immunotherapy

bioRxiv May 22, 2026
Perturbations of genes with functional importance in T cells could be used to change the distribution of CD8 T cell states to enhance anti-tumor functions for cancer immunotherapies. We launched a world-wide computational challenge to predict the eff... read more 
bioinformatics

Generalist large language models complement tailor-made predictors for tumor genomics interpretation

bioRxiv May 22, 2026
General-purpose large language models (LLMs) are trained on large corpora to acquire broad knowledge, but whether LLMs can replace, or augment, task-specific models is unclear. We evaluated LLMs on three real-world, clinically important tumor genomic... read more 
genomics

De novo design of RNA pseudoknots with deep learning

bioRxiv May 22, 2026
RNA design has been hindered by the limited accuracy of 3D structure prediction. Here, we show that intricate RNA structures can be generated with current deep learning tools through accurate de novo design of pseudoknot secondary structures. In an E... read more 
biophysics
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