AIMC Journal:
bioRxiv

Showing 1981 to 1990 of 4956 articles

Translating Histopathology Foundation Model Embeddings into Cellular and Molecular Features for Clinical Studies

bioRxiv Mar 19, 2026
AI-powered pathology foundation models provide general-purpose representations of histopathological images by encoding image tiles into numerical embeddings. However, these embeddings are not directly interpretable in biological or clinical terms and...
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Spatio-temporal mapping of immune cell dynamics during human sequential lymph node metastasis

bioRxiv Mar 19, 2026
Regional lymph node (LN) metastasis critically influences distant metastatic progression, anti-tumour immunity, and patient prognosis. While tumour-induced immune modulation in tumour-draining LNs (TDLNs) has been extensively studied using murine mod...
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The first step is not always the hardest: A change-point analysis of predictive learning

bioRxiv Mar 19, 2026
The progress of learning is usually quantified by averaging responses across participants and/or multiple trials within a block. However, such approaches obscure the trial-by-trial progress of learning, which has been shown recently to express a rich...
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A genetically encoded local learning rule enables physical learning in engineered bacteria

bioRxiv Mar 19, 2026
Training physical neural networks directly in matter remains difficult because most platforms do not implement weight storage and weight update within the same physical substrate. Here we show that engineered Escherichia coli can implement a genetica...
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An AI-Driven Decision-Support Tool for Triage of COVID-19 Patients Using Respiratory Microbiome Data

bioRxiv Mar 19, 2026
Accurate clinical triage is critical for optimizing decision-making and resource allocation during infectious disease outbreaks such as COVID-19. In this study, we present an AI-driven decision-support tool for the triage of COVID-19 patients based o...
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Interpretable and predictive models based on high-dimensional data in ecology and evolution

bioRxiv Mar 18, 2026
The proliferation of high-dimensional data in ecology and evolutionary biology raises the promise of statistical and machine learning models that are highly predictive and interpretable. However, high-dimensional data are commonly burdened with an in...
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Parallel circuits in the posterior parietal cortex balance behavioral flexibility and stability

bioRxiv Mar 18, 2026
Rapid behavioral adaptation requires the brain to solve a fundamental computational dilemma: how to flexibly update learned rules while maintaining stable motor performance. This flexibility-stability trade-off is central to cognitive function and ar...
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Multi-timescale Computation by Astrocytes

bioRxiv Mar 18, 2026
The basic computational unit of the brain has long been defined as the neuron. However, mounting evidence suggests that other cells, especially astrocytes, also perform computations. Here, we demonstrate that cerebellar astrocytes decompose norepinep...
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EEG-based classification models reveal differential neural processing of words and images

bioRxiv Mar 18, 2026
Machine learning methods employing neuroimaging data are useful for monitoring the activation of neural representations. Specifically, they can be used to discern the brain networks engaged in processing specific categories of items. This approach ha...
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Cerebellum-Inspired Kernel for Robust OOD Detection

bioRxiv Mar 18, 2026
Detecting novel stimuli is a fundamental neural function, yet its machine learning counterpart---out-of-distribution (OOD) detection---remains challenging, with models often making overconfident predictions on unseen inputs. Inspired by the strong pa...
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