AIMC Journal:
bioRxiv

Showing 2881 to 2890 of 4993 articles

Molecular unbalances between striosome and matrix compartments characterize the pathogenesis of Huntington’s disease model mouse

bioRxiv Jan 1, 2025
The pathogenesis of Huntington’s disease is still incompletely understood, despite the remarkable advances in identifying the molecular effects of the Htt mutation in this disease. When we focus on movement disorders, clinical studies offer us some h...
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Uncovering smooth structures in single-cell data with PCS-guided neighbor embeddings

bioRxiv Jan 1, 2025
Single-cell sequencing is revolutionizing biology by enabling detailed investigations of cell-state transitions. Many biological processes unfold along continuous trajectories, yet it remains challenging to extract smooth, low-dimensional representat...
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Predicting cellular responses to perturbation across diverse contexts with State

bioRxiv Jan 1, 2025
Cellular responses to perturbations are a cornerstone for understanding biological mechanisms and selecting drug targets. While machine learning models offer tremendous potential for predicting perturbation effects, they currently struggle to general...
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Using spatial statistics to infer game-theoretic interactions in an agent-based model of cancer cells

bioRxiv Jan 1, 2025
Drug resistance in cancer is shaped not only by evolutionary processes but also by eco-evolutionary interactions between tumor subpopulations. These interactions can support the persistence of resistant cells even in the absence of treatment, undermi...
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DeepDisco: A Deep Learning Tool for Rapid Brain Connectivity Estimation

bioRxiv Jan 1, 2025
DeepDisco is a cross-platform software that uses deep learning to rapidly predict brain connectivity maps from binary regions or lesions. It offers a user-friendly and scriptable interface, making indirect connectivity analysis accessible for large d...
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Unraveling the Co-Morbidity between COVID-19 and Neurodegenerative Diseases Through Multi-scale Graph Analysis: A Systematic Investigation of Biological Databases and Text Mining

bioRxiv Jan 1, 2025
The COVID-19 pandemic has generated a vast volume of research, yet much of it focuses on individual diseases, overlooking complex comorbidity relationships. While extensive literature exists on both neurodegenerative diseases (NDDs), such as Alzheime...
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Model-informed Deep Q-Networks to Guide Infliximab Dosing in Pediatric Crohn’s Disease

bioRxiv Jan 1, 2025
Model-informed precision dosing (MIPD) utilizes pharmacokinetic/pharmacodynamic (PK/PD) models to optimize drug therapy. However, conventional MIPD often requires manual simulation and regimen selection, which are time-consuming and demand specialize...
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Holotomography-driven learning for in-silico staining of single cells in flow cytometry avoiding co-registration

bioRxiv Jan 1, 2025
Virtual staining is the current state-of-the-art computational technique to cleverly enhance intracellular specificity in unstained biological samples by using convolutional neural networks (CNNs) trained on co-registered pairs of unstained/stained i...
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Convergent neural dynamical systems for task control in artificial networks and human brains

bioRxiv Jan 1, 2025
The ability to switch between tasks is a core component of human intelligence, yet a mechanistic understanding of this capacity has remained elusive. Long-standing debates over how task switching is influenced by preparation for upcoming tasks or int...
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Mouse pups lacking a cerebral cortex develop abnormal vocal behavior

bioRxiv Jan 1, 2025
Vocal learning is an essential component of spoken language and critically depends on the cerebral cortex. The evolutionary origins of cortical/pallial control over vocal learning abilities in mammals and songbirds remains largely unknown. For instan...
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