AIMC Journal:
bioRxiv

Showing 1141 to 1150 of 4938 articles

Candidate Molecular Subtypes of Cognitive Resilience in Alzheimers Disease: A Multi-Cohort Machine Learning and Neuroimaging Study

bioRxiv Jun 10, 2026
Background: Cognitive resilience (CR) in Alzheimers disease (AD) refers to preserved cognitive function despite substantial AD pathology. Diverse biological processes have been implicated in CR, including synaptic maintenance, neuroimmune regulation,...
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BiXformer: A Bidirectional Cross Attention Transformer for Disentangling Inter-Regional Neural Dynamics

bioRxiv Jun 10, 2026
Advances in high-throughput neural recording technologies enable simultaneous measurement of activity across multiple brain regions in behaving animals, producing datasets of unprecedented scale and richness. Interpreting these data remains challengi...
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Neural Innervation Invigorates Yolk Sac Biological Functions beyond Nutrient Reservoir during Zebrafish Embryo Development

bioRxiv Jun 10, 2026
The zebrafish yolk sac (YS) is traditionally viewed as a nutrient reservoir. By reconstructing the complete progression of embryonic neural development via live-cell imaging, we previously uncovered an intriguing involvement of YS after it is innerva...
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Active Learning-Guided Peptide Design for Modulating Condensate Properties upon Recruitment

bioRxiv Jun 10, 2026
The physical properties of biomolecular condensates, which form through phase separation, are central to their organisation and function and are increasingly implicated in disease mechanisms, including neurodegenerative disorders. To function correct...
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ConnectoFM: A Foundation Model for Learning the Language of the Connectome

bioRxiv Jun 10, 2026
Accurate reconstruction of neural circuits from electron microscopy (EM) data is central to connectomics, yet modern datasets are now so large and heterogeneous that manual annotation and dataset-specific model retraining have become major challenges...
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Distinct neural correlates for focusing on similar memory contents originating from current or previous experience

bioRxiv Jun 10, 2026
Flexible, goal-directed behavior depends on the ability to select and prioritize information from memory representations freshly encoded from the sensory stream as well as retrieved from previous experience. The spatial gating signatures of internal ...
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APOSM: Pairwise preference learning improves generative small-molecule design

bioRxiv Jun 10, 2026
Small-molecule lead refinement is constrained by the cost of synthesizing and assaying candidates, making the surrogate models that prioritize compounds for experimental testing central to the design process. The reliability of such surrogates is lim...
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Untrained Convolutional Neural Networks as Feature Extractors for Structural MRI

bioRxiv Jun 10, 2026
We demonstrate that features extracted from structural MRI using un-CNN, an untrained convolutional neural network, achieve predictive performance comparable to or exceeding that of state-of-the-art pretrained foundation models across three structura...
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BenchRep-T: A Systematic Evaluation of T-Cell Repertoire-Based Disease Diagnostics

bioRxiv Jun 10, 2026
Adaptive immune receptor repertoire sequencing data has emerged as a promising potential modality for disease diagnosis, relying on computational methods to analyze T-cell receptor (TCR) sequences from an individual's blood sample. Published methods ...
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MHC Attention: Identifying HLA-E presented cancer antigens through deep learning and high-throughput screening

bioRxiv Jun 10, 2026
HLA-E presented cancer peptides can be promising cancer therapy targets, as HLA-E is minimally polymorphic and widely expressed across human populations and cancer types. However, systematic discovery of cancer associated HLA-E peptides has been cons...
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