AIMC Journal:
bioRxiv

Showing 2361 to 2370 of 4979 articles

TITAN-BBB: Predicting BBB Permeability using Multi-Modal Deep-Learning Models

bioRxiv Feb 17, 2026
Computational prediction of blood-brain barrier (BBB) permeability has emerged as a vital alternative to traditional experimental assays, which are often resource-intensive and low-throughput to meet the demands of early-stage drug discovery. While e...
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QuantCell: machine learning based cell annotation from qualitative and quantitative imaging profiles

bioRxiv Feb 17, 2026
Recent advances in spatial omics enable high-resolution, multiplexed in situ imaging of gene and protein expression. A major challenge in analyzing these data is cell annotation, especially in complex tissues with limited molecular markers, overlappi...
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Towards inferring atomic scale conformation landscape of biomolecules from cryo-electron tomography data

bioRxiv Feb 17, 2026
Understanding continuous conformational variability of biomolecular complexes at atomic resolution is essential for linking structure to function, but remains challenging for cryo-electron tomography (cryo-ET) data due to high noise and missing-wedge...
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MolDeBERTa: Foundational Model for Physicochemical and Structural-Informed Molecular Representation Learning

bioRxiv Feb 17, 2026
Foundational models that learn the language of molecules are essential for accelerating the material and drug discovery. These self-learning models can be trained on a large number of unlabelled molecules, enabling applications like property predicti...
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Biological Foundation Models Enable CRISPR Array Detection Without Metagenomic Assembly

bioRxiv Feb 17, 2026
Accurate identification of CRISPR arrays is essential for studying prokaryotic adaptive immunity, yet existing tools struggle with short-read sequencing data and arrays containing degenerate repeats. These limitations restrict CRISPR analysis in meta...
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Stimulus prior and reward probability differentially affect response bias in perceptual decision making

bioRxiv Feb 17, 2026
Signal detection theory posits that subjects in two-stimulus, two-choice discrimination tasks decide by comparing random samples of an evidence variable to a static decision criterion. While the core assumptions of the theory have received ample expe...
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Systematic Evaluation of Transfer Learning Strategies for Clinical Chemotherapy Response Prediction

bioRxiv Feb 17, 2026
Accurately predicting chemotherapy response remains a major challenge in precision oncology. Although machine-learning models based on tumour omics data have shown promise, the majority of existing studies are trained and evaluated on pre-clinical ce...
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Hierarchical Signatures of Language in the Human Brain

bioRxiv Feb 16, 2026
Language relies on a hierarchy of sensory and cognitive processes, yet how different levels of this hierarchy are supported by distinct neural architectures remains unclear. Here we show that semantic processing, compared with phonological processing...
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Trisomy 21 impairs synchronized activity and connectivity in developing human Down syndrome cortical excitatory neuron networks

bioRxiv Feb 16, 2026
Down syndrome (DS) is the most common genetic cause of intellectual disability, affecting one in 700 live births worldwide, and is caused by trisomy of the human chromosome 21 (Hsa21). Here, we investigated whether trisomy 21 alters the spontaneous s...
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Mapping the Fascicular Morphology and Organization of the Human Sciatic Nerve via High-Resolution MicroCT Imaging

bioRxiv Feb 16, 2026
Objective: Implanted neuroprostheses can restore standing and walking after spinal cord injury and somatosensation after limb loss. Yet current approaches often fail to reliably activate hamstring muscles crucial for upright stability and mobility or...
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