AIMC Journal:
bioRxiv

Showing 2681 to 2690 of 4979 articles

Pain-regulation circuitry as a predictor of chronic pain phenotypes

bioRxiv Jan 21, 2026
Background: Chronic pain is a multidimensional condition in which emotional distress, negative expectations, and functional impairment signal greater disease severity. Standard diagnostic categories often fail to capture clinically meaningful heterog...
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Biophysically inspired mean-field model of neuronal populations driven by ion exchange mechanisms

bioRxiv Jan 21, 2026
Whole-brain simulations are a valuable tool for gaining insight into the multiscale processes that regulate brain activity. Due to the complexity of the brain, it is impractical to include all microscopic details in a simulation. Hence, researchers o...
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Modeling the rhythmic complexity of professional drumming with an oscillation-driven reservoir computer

bioRxiv Jan 21, 2026
Musical performances, particularly in drumming, are characterized not only by their structured rhythmic patterns but also by the subtle variations in timing and amplitude series that create expressive complexity. This study proposes a neural-inspired...
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In vitro To In vivo : Bidirectional and High-Precision Generation of In Vitro and In Vivo Neuronal Spike Data

bioRxiv Jan 21, 2026
Spontaneous neural activity is often dismissed as noise, yet predicting its future evolution remains difficult, especially across recording preparations. We study transfer between in vitro and in vivo multineuronal spike trains with a Transformer tha...
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Computational Discovery of CRISPR-Cas13b Guide RNAs for Broad-Spectrum Dengue Virus Targeting

bioRxiv Jan 21, 2026
Dengue (DENV), an RNA virus, remains a significant global health threat, particularly in developing regions, with no widely effective antiviral therapy available. The CRISPR-Cas13b system, specifically the PspCas13b subtype, has emerged as a promisin...
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Integrating Acoustic, Prosodic, and Phonological Features for Automatic Alzheimer's Detection

bioRxiv Jan 21, 2026
Early and accurate diagnosis of Alzheimer's Disease (AD) is critical for effective intervention. While previous studies have explored speech-based biomarkers for AD, this paper presents the first systematic investigation of acoustic, prosodic, and ph...
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SigFormer: an Attention-Based Framework for Robust Single-Sample Mutational Signature Decomposition

bioRxiv Jan 21, 2026
Somatic mutational signatures imprint the history of exogenous exposures and endogenous processes on the genome, offering critical insights into pathologic etiology and disease risk. However, accurate signature decomposition at the single-sample leve...
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RAGulate: Retrieval-Augmented Generation for Post-hoc Literature-Grounded Regulatory Assessment

bioRxiv Jan 21, 2026
Prioritization of transcription factor (TF)-target relationships predicted by computational models for experimental validation often requires biologists to manually inspect heterogeneous and context-dependent evidence scattered across the biomedical ...
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Sequence models conditioned on splicing factor expression predict splicing in unseen tissues

bioRxiv Jan 21, 2026
Predicting how RNA splicing varies across tissues is important for understanding the impact of genetic variation and identifying splicing-based disease mechanisms. Although many sequence-based deep learning models have been developed to predict splic...
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TPCAV: Interpreting deep learning genomics models via concept attribution

bioRxiv Jan 21, 2026
Interpreting genomics deep learning models remains challenging. Existing feature attribution methods largely focus on scoring individual bases or extracting global DNA motifs from one-hot encoded inputs, leaving them unable to assess broader genomic ...
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