Artificial Intelligence Medical Compendium

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

Showing 39,911 to 39,920 of 223,737 articles

Hidden Diversity in Yeast tRNAs: Comparative Genomics and Modification Mapping in a Eukaryotic Subphylum

bioRxiv Mar 21, 2026
tRNA are adapter molecules with an integral role in translation and further roles in stress adaptation. Processing of tRNA is tightly regulated and includes the enzymatic addition of several post-transcriptional modifications that are required for tr... read more 
genomics

Evolution as Active Geometry: The Geometric State Equation of the Tree of Life

bioRxiv Mar 21, 2026
Any process that generates information at a constant rate into a branching hierarchy faces a geometric packing problem: the number of distinguishable lineages grows exponentially, but Euclidean space grows only polynomially. We show that this tension... read more 
evolutionary biology

Circulating miRNA-Protein Signatures Predict Outcomes in Pediatric Dilated Cardiomyopathy

bioRxiv Mar 20, 2026
Background: Pediatric dilated cardiomyopathy (DCM) is a rare, progressive heart disease with variable outcomes that range from recovery to heart transplantation. To date, there are no prognostic biomarkers for children with DCM. Identifying circulati... read more 
systems biology

RNAGAN: Train One and Get Four, Multipurpose Human RNA-Seq Analysis Tool with Enhanced Interpretability and Small Data Size Capability

bioRxiv Mar 20, 2026
The advent of artificial intelligence (AI) has brought revolutionary tools for biomedical transcriptomic (RNA-level) research. However, there are persistent constraints including limited interpretations with biomedical concepts such as functional pat... read more 
bioinformatics

GenBio-PathFM: A State-of-the-Art Foundation Model for Histopathology

bioRxiv Mar 20, 2026
Recent advancements in histopathology foundation models (FMs) have largely been driven by scaling the training data, often utilizing massive proprietary datasets. However, the long-tailed distribution of morphological features in whole-slide images (... read more 
bioinformatics

SCALE: Scalable Conditional Atlas-Level Endpoint transport for virtual cell perturbation prediction

bioRxiv Mar 20, 2026
Virtual cell models aim to enable in silico experimentation by predicting how cells respond to genetic, chemical, or cytokine perturbations from single-cell measurements. In practice, however, large-scale perturbation prediction remains constrained b... read more 
cell biology

Enhancing non-local interaction modeling for ab initio biomolecular calculations and simulations with ViSNet-PIMA

bioRxiv Mar 20, 2026
AI-based molecular dynamics simulation brings ab initio calculations to biomolecules in an efficient way, in which the machine learning force field (MLFF) locates at the central position by accurately predicting the molecular energies and forces. Mos... read more 
bioinformatics

RNASTOP: A Deep Learning Framework for mRNA Chemical Stability Prediction and Optimization

bioRxiv Mar 20, 2026
Messenger RNA (mRNA) vaccines offer promising therapeutics for combating various diseases, yet their inherent chemical instability hampers their long-term efficacy. Although several methods have been developed to predict mRNA degradation, they exhibi... read more 
bioinformatics

A Multi-Dataset Transcriptomic Analysis Unravels Core Mechanisms Involving Vitamin D Metabolism and Inflammatory Pathways for Frailty Diagnosis.

bioRxiv Mar 20, 2026
Frailty is a prevalent geriatric syndrome, and the shortage of objective biomarkers restricts its early diagnosis and intervention. This study aimed to identify robust molecular signatures and diagnostic markers for frailty using bioinformatics analy... read more 
bioinformatics

Automated derivation of mean field models from spiking neural networks for the simulation of brain dynamics

bioRxiv Mar 20, 2026
A mean field model (MFM) is a mesoscopic description of neuronal population dynamics that can reduce the complexity of neural microcircuits into equations preserving key functional properties. The generation of a MFM is a complex mathematical process... read more 
neuroscience
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