AIMC Journal:
bioRxiv

Showing 151 to 160 of 4935 articles

Auditing Site-Dependent Performance in Transductive Population Graph Neural Networks for Multisite Autism fMRI

bioRxiv Sep 28, 2026
Population-graph models can use cohort-level context, complicating interpretation of strong multisite neuroimaging performance. We investigated which information pathways accounted for high transductive cohort discrimination in a site-aware heterogen...
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Large language model-based bibliometric evaluation of population descriptors in human genetics

bioRxiv Sep 28, 2026
As the use of population descriptors such as race, ethnicity, and ancestry have become increasingly common in modern genetics research, there have been growing calls to critically examine their use. Most notably, in 2023, the National Academies of Sc...
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GEMOT: Towards Mechanistic World Models for Biology

bioRxiv Sep 28, 2026
Scientific discovery seeks mechanisms that explain observations and predict beyond the measurements that produced them. Whereas large language models (LLMs) encode knowledge implicitly, mechanistic world models organise it as a parsimonious set of ex...
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A Physics-Informed Neural Network Surrogate for Patient-Specific Hepatic Arterial Hemodynamics in Yttrium-90 Radioembolization: Network Architecture, Boundary-Condition Enforcement, and Data Efficiency

bioRxiv Sep 28, 2026
Trans-arterial radioembolization using yttrium-90 (Y-90) microspheres treats unresectable liver cancer with radiation. The tumor-to-parenchyma dose ratio is mainly governed by the patient-specific hepatic arterial flow distribution, which transports ...
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BiomiX 3.0: A user-friendly platform for democratized multi-omics integration with graph-based learning.

bioRxiv Sep 28, 2026
Background Multi-omics integration has emerged as a powerful strategy to decode the molecular complexity of biological systems. However, the diversity of available methods, each designed with distinct assumptions, objectives, and computational requir...
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Decoding natural scenes from patterned optogenetic responses in mouse visual cortex

bioRxiv Sep 28, 2026
A central challenge in developing visual cortical prostheses is to determine how visual stimuli should be transformed into effective patterns of cortical stimulation. Although advances in stimulation technologies, including optogenetics, provide incr...
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Retinal adaptive mechanisms confer selectivity to homogeneous objects in natural scenes

bioRxiv Sep 28, 2026
Adaptive mechanisms in sensory neurons are crucial to transmit information in different contexts. In the retina, it is assumed that their role is to normalize neuronal responses to input statistics like mean and variance. However, this role has mostl...
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Where Tabular Foundation Models Falter on Genetic Data: Datasets That Expose and Provide a Path to Address the Gap

bioRxiv Sep 28, 2026
Tabular foundation models are used as off-the-shelf predictors for heterogeneous tabular tasks, but it remains unclear how they will perform on real genotype-to-phenotype tabular datasets, which carry unique challenges. One such challenge is ancestry...
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NexuST: A Hierarchical Foundation Model for Spatial Transcriptomics

bioRxiv Sep 28, 2026
Spatial transcriptomics captures molecular states within cells and their organisation in tissue. However, integrating fine-grained gene information with spatial context at scale remains challenging for existing foundation models. Here we present Nexu...
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Predicting the immediate and subsequent effects of commercials on product valuation using EEG and deep learning

bioRxiv Sep 28, 2026
Neuromarketing mainly seeks to enhance the prediction of marketing stimuli success, such as commercials and movie trailers, by integrating neurophysiological measures with traditional behavioral measures. In the current study, the authors tested whet...
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