AIMC Journal:
bioRxiv

Showing 761 to 770 of 4938 articles

Learning the Cellular Dynamics as a Port-Hamiltonian System:A Composite Multi-Clock GNN-Surrogate for Multi-Omics Circadian Cell Biology

bioRxiv Jul 14, 2026
We present a compartmental, multi-clock port-Hamiltonian model of cell dynamics learned by a graph neural network. The state pairs the measured abundance deviation of each molecular species with an oscillatory phase coordinate, derived only for speci...
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Constitutive discovery in the living human heart

bioRxiv Jul 13, 2026
Constitutive models of myocardial mechanics form a cornerstone of personalized cardiac simulations and cardiac digital twins. Researchers traditionally prescribe these models a priori and calibrate them from ex vivo tissue experiments, even though ti...
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amR: an R package suite to predict antimicrobial resistance in bacterial pathogens

bioRxiv Jul 13, 2026
Motivation: Identifying bacterial antimicrobial resistance (AMR) is critical for diagnostics and treatment, but resistance is a complex trait arising from myriad mechanisms spanning multiple molecular scales. Existing computational approaches often f...
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Lesions Involving Medial Anterior Forebrain Pathway Circuitry Destabilize Phrase Timing in Adult Canary Song

bioRxiv Jul 13, 2026
Basal ganglia thalamo cortical circuits are essential for learning complex motor sequences, yet their roles in controlling flexible motor behavior remain poorly understood. The homologous songbird Anterior Forebrain Pathway (AFP) drives song motor le...
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Processing strategies for improving cortical thickness correspondence between low-field and high-field MRI in young people

bioRxiv Jul 13, 2026
Portable low-field MRI systems are a promising complement to conventional high-field systems, enabling broader access to MRI. However, correspondence in cortical thickness estimates between low- and high-field MRI in young people remains limited desp...
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Optimizing automated classification for zooplankton in coastal conditions: the impact of model selection, imaging instruments, and colour information

bioRxiv Jul 13, 2026
The advancement in deep learning techniques has made Convolutional Neural Networks (CNNs) a powerful tool for the fully automated classification of zooplankton images. In this study, we systematically investigate how network selection, colour informa...
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Learned Immune Architectures of Durable Antibody Responses Across Vaccines

bioRxiv Jul 13, 2026
Vaccination is one of the most effective public health interventions. However, vaccine efficacy varies widely among individuals, as immunity arises from complex interplay between genetic, pathogen, and immunological factors. To date, most systems vac...
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Structure-guided design of a CD81-binding mini-protein that blocks hepatitis C virus entry

bioRxiv Jul 13, 2026
Despite the success of direct-acting antivirals, preventing hepatitis C virus (HCV) reinfection remains a critical global challenge. To address this, we leveraged deep learning-based de novo protein design to engineer mini-proteins targeting the larg...
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Quantum Encoding Strategies for Drug Response Prediction: An Exhaustive Benchmark on a 20-Qubit Superconducting QPU

bioRxiv Jul 13, 2026
We present the first systematic, hardware-executed benchmark of twelve distinct quantum data-encoding strategies for drug-response prediction on a real superconducting quantum processing unit (QPU). All experiments were conducted on the IQM Garnet 20...
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Learning proteomic disease trajectories with flow matching

bioRxiv Jul 13, 2026
High-throughput proteomics has enabled detailed characterization of molecular states across health and disease. However, biological systems are inherently dynamic and methods for reconstructing continuous proteome changes remain limited. Here, we int...
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