Artificial Intelligence Medical Compendium

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

Showing 44,041 to 44,050 of 224,055 articles

AI-Driven Generation of Cortisol-Binding Peptides for Non-Invasive Stress Detection

bioRxiv Mar 6, 2026
Cortisol is a primary biomarker of stress, released in sweat at concentrations that directly correlate with physiological stress levels. Detecting cortisol non-invasively offers significant potential for real-time stress monitoring and healthcare app... read more 
bioengineering

dAMN: a genome scale neural-mechanistic hybrid model to predict bacterial growth dynamics

bioRxiv Mar 6, 2026
This study presents dAMN, a hybrid neural-mechanistic model that integrates neural networks with genome-scale dynamic flux balance analysis (dFBA) to predict bacterial growth curves across diverse nutrient environments. dAMN uses neural networks to i... read more 
systems biology

Phenotypic reversion and target prioritization for cellular inflammation via representation learning with foundation models

bioRxiv Mar 6, 2026
The identification of genetic perturbations that can reverse disease-associated cellular phenotypes toward a healthy state is a central challenge in early drug discovery. We present a proof-of-concept framework leveraging single-cell foundation model... read more 
bioinformatics

PAVR: High-Resolution Cellular Imaging via a Physics-Aware Volumetric Reconstruction Framework

bioRxiv Mar 6, 2026
The rapid convergence of advanced microscopy and deep learning is transforming cell biology by enabling imaging systems in which optical encoding and computational inference are jointly optimized for volumetric information capture and interpretation.... read more 
bioengineering

GWAS Summary Statistic Tool: A Meta-Analysis and Parsing Tool for Polygenic Risk Score Calculation

bioRxiv Mar 6, 2026
Motivation: GWAS (genome-wide association study) summary statistic files are essential inputs for polygenic risk score (PRS) calculation, yet identifying suitable files across thousands of catalog entries requires downloading large files and manually... read more 
bioinformatics

Circular RNA identification using a genomic language model and a small number of authenticated examples

bioRxiv Mar 6, 2026
Genomic language models (gLMs) hold great promise for deciphering biological sequences, yet their effectiveness is hindered by the limited number of experimentally verified examples available for model training, a ubiquitous bottleneck for supervised... read more 
bioinformatics

Discovery of a phenazine thiol conjugase from sparse data using genome-informed machine learning

bioRxiv Mar 6, 2026
Machine learning has enabled powerful biological discoveries using models trained on large datasets. However, for many important biological questions, such as identifying enzymes that transform understudied substrates, sparsity of training data is of... read more 
microbiology

Evolutionarily conserved neural dynamics across mice, monkeys, and humans

bioRxiv Mar 6, 2026
On evolutionary timescales, brain circuits adapt to support survival in each species ecological niche. While some anatomical aspects of neural circuitry are conserved across species with distant evolutionary origins, each species also exhibits specif... read more 
neuroscience

A normative reference for large-scale human brain dynamics across the lifespan

bioRxiv Mar 6, 2026
Human brain function emerges from dynamic reconfigurations of large-scale neural networks. While population-level reference charts have transformed the study of static brain structure and connectivity, an equivalent normative framework for intrinsic ... read more 
neuroscience

Neural microstates underlying categorical speech perception using Bayesian nonparametrics

bioRxiv Mar 6, 2026
Categorical perception (CP) reflects the human auditory system ability to map continuous acoustic signals onto discrete categories. Understanding the relationship between neural dynamics and perceptual decisions is central to speech language processi... read more 
neuroscience
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