AIMC Journal:
bioRxiv

Showing 121 to 130 of 4935 articles

Interpretable machine learning coupled to gene regulatory networks uncovers subcircuits underlying cell fate decisions

bioRxiv Sep 29, 2026
Gene regulatory networks (GRNs) model causal linkages that control cell fate decisions and differentiation transitions. Prioritizing regulatory subnetworks underlying cell state differences is of critical importance, but current methods including tho...
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Prion Protein Deficiency Results in Synaptic, Neural Network and Behavioral Alterations

bioRxiv Sep 29, 2026
The cellular form of the prion protein (PrPC) is known for its involvement in the pathogenesis of prion diseases. Recent research implicates the physiological isoform of PrP in neuronal development, excitability, and synaptic plasticity, as well as i...
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TxCyto: A machine learning framework for estimating cytokine activity from whole transcriptome

bioRxiv Sep 29, 2026
Cytokines are critical mediators of intercellular communication, and a comprehensive characterization of their activity is essential for understanding health and disease. Existing tools to infer cytokine activity rely on experimental measurements. Ho...
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Artificial Intelligence-Driven Nanosensing to Identify Circulating Bacterial DNA: A Novel Approach to Breast Cancer Risk Profiling

bioRxiv Sep 29, 2026
Perovskite quantum dots (PQDs) are exceptionally promising next-generation optical materials for bioimaging applications. This paper presents an optical PQDs nanocomposite method to identify bacterial species associated with breast cancer, employing ...
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GraPPI: A Self-Supervised Graph Encoder for Transferable Protein--Protein Interaction Modeling

bioRxiv Sep 29, 2026
Protein--Protein Interactions (PPIs) are fundamental to cellular processes and represent major targets for therapeutic development. Recent advances in machine learning for protein modeling, particularly protein language models, have enabled powerful ...
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Anatomically Guided Deep Learning Reconstruction of Accelerated Snapshot CEST MRI

bioRxiv Sep 29, 2026
Abstract Purpose: To determine whether structural MRI information can improve reconstruction of highly accelerated 3D snapshot chemical exchange saturation transfer (CEST) MRI. Methods: Fully sampled brain CEST data were retrospectively undersampled ...
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Compartmentalized Nanozyme Transduction Enables Regenerative Molecular Amplification for Multiplexed miRNA-Based Prostate Cancer Stratification

bioRxiv Sep 29, 2026
Circulating microRNAs (miRNAs) have emerged as promising liquid biopsy markers; however, their clinical translation is restricted by low abundance, biological heterogeneity, and the complexity of multiplex profiling. Herein, we develop a targeted cyc...
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Acoustic Monitoring of Tropical Bats: Saccopteryx bilineata's response to habitat and time across a restoration gradient using a 2D-CNN

bioRxiv Sep 29, 2026
Global biodiversity loss is a consequence of habitat degradation and fragmentation caused by the expansion of the Anthropocene and the overexploitation of natural resources. Passive acoustic monitoring enables longitudinal assessment of biodiversity ...
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From Plant Detection to Satellite Mapping: A Multi-Scale AI Toolkit for Ragweed Surveillance under Climate Change

bioRxiv Sep 29, 2026
Climate change is reshaping weed population dynamics, creating non-stationary management challenges for which static decision rules are insufficient. This chapter presents and evaluates an open surveillance toolkit of artificial intelligence tools fo...
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Inferring cascade drivers of VEXAS syndrome by a causal machine learning tool CauNagi

bioRxiv Sep 29, 2026
VEXAS syndrome is an adult-onset severe autoinflammatory disease caused by somatic mutations in UBA1, yet the cascade mechanisms linking primitive hematopoietic abnormalities to mature myeloid dysfunctions remain largely unknown. Identifying master r...
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