AIMC Journal:
bioRxiv

Showing 1951 to 1960 of 4956 articles

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...
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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 (...
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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...
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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...
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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...
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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...
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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...
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Evolutionary and Deep Learning Models Highlight Deleterious Mutations Behind the History of Sugar Beet Breeding

bioRxiv Mar 20, 2026
Sugar beet (Beta vulgaris ssp. vulgaris) is a major global source of sucrose. Domestication and a history of breeding have shaped the distribution of deleterious mutations across the genome. Accurately resolving these variants offers a compelling ave...
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Mapping spatial cell-cell communication programs by tailoring chains of cells for transformer neural networks

bioRxiv Mar 20, 2026
Recent advances in spatial transcriptomics and computational modeling enable the study of cellular interactions in situ. However, existing methods quantify ligand-receptor activity pairwise or between predefined cell groups, yielding overlapping sign...
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Behavioral characterization of dynamic facial expression perception in rhesus monkeys (Macaca mulatta) using naturalistic and synthetic stimuli

bioRxiv Mar 20, 2026
Facial displays are an important channel of communication for primates, yet it remains unclear based on which criteria monkeys evaluate facial expressions. We trained two rhesus macaques to categorize videos of four facial expression types (neutral, ...
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