AIMC Journal:
bioRxiv

Showing 231 to 240 of 4935 articles

Sparse Machine Learning Pipeline with Stabl Identifies Cord Blood Multi-Omic Signatures of Bronchopulmonary Dysplasia

bioRxiv Sep 18, 2026
Background: Several omics studies have been completed in recent years, with the goal of identifying biomarkers of complex multifactorial diseases, such as bronchopulmonary dysplasia (BPD). Objective: To evaluate the performance of 3 distinct omics pl...
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TRACEDD: A Tool-grounded Reasoning and Agentic Coordination for Explainable Drug Design

bioRxiv Sep 18, 2026
Drug discovery depends on coordinated decisions across target validation, structure analysis, molecular design, developability assessment and synthetic feasibility, but current computational methods often operate as disconnected tools. Here, we intro...
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Probabilistic model discovery reveals distinct constitutive behavior of kidney cortex and medulla

bioRxiv Sep 18, 2026
The kidney is a critical soft-tissue organ responsible for blood filtration. Accurate constitutive models of the kidney are essential to predict tissue deformation and stress, yet existing models prescribe the strain energy function a priori, largely...
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Pep-PU-GAN: Positive-Unlabeled Adversarial Learning for Peptide Function Prediction

bioRxiv Sep 18, 2026
Peptide classification remains challenging in bioinformatics because of limited labeled data, particularly the scarcity of verified negative examples, and the complex relationship between amino acid sequences and biological functions. This study intr...
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Novel two-stage deep learning-based approach applied to gene expression data pertaining to esophageal adenocarcinoma boosting biological knowledge discovery

bioRxiv Sep 18, 2026
Esophageal cancer (EC) is characterized by complex transcriptional alterations and therapeutic resistance, posing challenges for traditional computational methods. In this study, we propose a deep learning (DL)-based computational framework to identi...
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Input-space geometry shapes adaptation dynamics underlying repetition suppression in a neural network model of relatedness priming

bioRxiv Sep 18, 2026
A key function of the human brain is its ability to dynamically adapt to novel contexts by integrating prior experience. While neural adaptation is widely observed across cortical systems, the microcircuit-level mechanisms governing its intensity and...
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An Artificial Intelligence Model for Longitudinal Assessment of TCR Repertoires in SARS-CoV-2 Vaccine Recipients

bioRxiv Sep 18, 2026
T cells play a crucial role in reducing disease severity during SARS-CoV-2 infection and in shaping long-term immune memory. However, the precise molecular immune responses, particularly involving T-cell receptor (TCR) repertoire changes after full v...
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AI-Powered Discovery of Novel RNA Viruses from the Permafrost of a 14,300-Year-Old Pleistocene Wolf

bioRxiv Sep 18, 2026
Ancient viruses preserved as molecular relics offer rare and often unpredictable insights into virus-host co-evolution and the ecological dynamics of past ecosystems. However, the recovery of ancient RNA viruses via paleotranscriptomics has remained ...
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This must be the place: deep learning local adaptation

bioRxiv Sep 18, 2026
Climate change is increasingly disrupting the relationship between locally adapted populations and the environments in which they evolved, creating an urgent need for tools that connect genomic variation to climate. Common-garden and provenance trial...
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Self-supervised representations reveal the genetic architecture of human cortical folding

bioRxiv Sep 18, 2026
Cortical folding emerges during fetal development, is under genetic control, and remains stable throughout life, offering a lasting window into early neurodevelopment. Conventional morphometric descriptors, however, only partially capture the shape v...
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