AIMC Journal:
bioRxiv

Showing 241 to 250 of 4935 articles

Conditional Generation And Inpainting Of Non-coding RNA Sequences With Masked Discrete Diffusion

bioRxiv Sep 18, 2026
Designing functional non-coding RNA (ncRNA) is fundamental to synthetic biology and RNA therapeutics, yet generative modelling for ncRNA has received far less attention than protein design. We present RNA-MDLM, a framework that extends Masked Discret...
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Content-Sensitive Linguistic Representations in the Human Multiple-Demand Network

bioRxiv Sep 16, 2026
Neuroimaging dissociates specialized language regions from the domain-general multiple-demand (MD) network, yet the functional contribution of MD regions to language processing remains unresolved. Because MD recruitment during linguistic tasks is con...
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The broad ecological range of Salmonella enterica serotype Typhimurium is associated with genomic diversification

bioRxiv Sep 15, 2026
Salmonella Typhimurium is a versatile foodborne pathogen with a broad ecological range, making it an ideal model to better understand pathogen adaptations that allow them to infect multiple hosts and persist across environments. Here, we analyzed 595...
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Cortico-subcortical multi-head self-attention as a substrate for cognitive performance

bioRxiv Sep 15, 2026
The neocortex is central to mammalian cognition, yet a computational framework that is both biologically constrained and capable of performing complex cognitive tasks remains missing. Here we show that cortico-thalamic circuits are well suited to imp...
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FUSE: FUsing EEG-MEG in a Shared Embedding via self-supervised learning for BCI

bioRxiv Sep 15, 2026
Combining complementary neurophysiological modalities offers a promising strategy for improving motor imagery (MI) brain-computer interfaces (BCIs), but learning shared representations across modalities remains largely unexplored. Here, we propose a ...
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Interpretable Machine Learning Reveals Complementary Age-Related Signatures in the Oral and Gut Microbiome

bioRxiv Sep 15, 2026
Whether combining microbiome data from multiple body sites improves prediction, and whether different sites carry complementary or redundant information, are distinct questions that most studies conflate into a single accuracy metric. This work makes...
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An endocannabinoid-nitric oxide signaling switch triggers reciprocal inhibitory-excitatory plasticity at dopamine neuron inputs following prenatal cannabinoid exposure

bioRxiv Sep 15, 2026
Dynamic regulation of midbrain dopamine neuron activity is necessary for diverse processes including motivation, novelty detection, reinforcement learning, and cognitive flexibility. By setting the strength of synaptic inputs to dopaminergic neurons,...
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Hierarchical temporal transformer for cancer grade prediction and cross cancer transfer learning from pathology reports

bioRxiv Sep 15, 2026
Language models for cancer clinical reports carry two blind spots. They read each report in isolation, ignoring how a patients disease changes across visits, and they are evaluated only on cancer types present in their training data. We present the H...
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Cell-level random splits leak group-owned answers in single-cell benchmarks

bioRxiv Sep 15, 2026
Machine learning models in single-cell biology increasingly forecast differentiation, reprogramming and therapeutic response from early transcriptomic profiles. Testing whether a model has learned real biology requires held-out cells. Single-cell dat...
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Deep reinforcement learning-driven discovery of a MsbA-targeted small-molecule antibiotic for the treatment of Acinetobacter baumannii infection

bioRxiv Sep 15, 2026
Antibiotics with new mechanisms are highly pursued to address the threat of infections caused by drug-resistant Gram-negative bacteria. Targeting MsbA, a key protein of the lipopolysaccharide biosynthesis pathway, represents a promising strategy to d...
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