AIMC Journal:
bioRxiv

Showing 621 to 630 of 4938 articles

Machine Learning-Enabled Raman Spectroscopy for Process Analytical Technology and Real-Time Release Testing in Bioprocess Manufacturing: A Comparative Predictive Modeling Study

bioRxiv Jul 28, 2026
Analytical technologies that can provide quick, precise, and continuous information regarding process performance are necessary for the development of biopharmaceutical manufacturing. Conventional bioprocess monitoring is largely dependent on laborat...
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scINTILLA: Single-Cell Integrated Inference, Labelling, and Landscape Analysis for Cell-Type Annotation Quality Assessment

bioRxiv Jul 28, 2026
Single-cell RNA sequencing has enabled the construction of comprehensive cell atlases, yet the quality and coherence of the cell-type annotations within these atlases remain largely unexamined. When a label is applied to a transcriptionally heterogen...
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Deep-learning based 3D segmentation of heterogeneous lizard claw tissue from CT data

bioRxiv Jul 28, 2026
The accurate segmentation of lizard claws is important as they are materially heterogeneous, comprising both bone and keratinous tissue. This study presents a deep learning framework for the automated segmentation of lizard claw tissues, specifically...
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CARDIAX-NNFE - A Cardiac Mechanics SciML Framework

bioRxiv Jul 28, 2026
One goal of Scientific Machine Learning (SciML) is to advance traditional scientific computing frameworks with modern machine learning tools. This includes extending established approaches, such as the finite element method, to simulate cardiac funct...
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Climbing fibers encode the gradient of a loss function for the cerebellum

bioRxiv Jul 28, 2026
Neurons in the brain are often many synapses away from motoneurons, yet if a movement results in error, each distant neuron needs a teacher that considers its specific contribution to production of that movement. This credit assignment problem is sol...
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A Preparation-Free Mixture-of-Experts Framework for Protein-Ligand Affinity Prediction

bioRxiv Jul 28, 2026
Protein-ligand affinity (PLA) prediction is central to AI-driven drug discovery, but precise interaction-based methods require costly conformation preparation and data encoding, limiting their throughput. To reconcile accuracy with efficiency, we fir...
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Cross-session generalization in automated behavioral tracking of Galleria mellonella larvae: comparison of classical computer vision, deep learning and generative domain adaptation

bioRxiv Jul 28, 2026
Background: Automated behavioral tracking is increasingly used in biological and biomedical research; however, robustness across heterogeneous imaging conditions remains a major challenge. Domain shifts caused by changes in illumination, contrast, or...
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Characterizing Functional Clusters of V4 Neurons in Digital Twins

bioRxiv Jul 28, 2026
Neurons in primate visual cortical area V4 display tuning for multiple visual features, including color, shape, texture, and depth. Whether and how these neurons are organized into functional architectures remains largely unknown. Using two-photon ca...
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Predictive Feature Engineering for Stress Detection using Physiological Signals, A Comparative Study

bioRxiv Jul 27, 2026
This paper presents a two-stage pipeline for implicit feature engineering in time series-based physiological stress detection using electrodermal activity (EDA) signals. In the first stage, we forecast three descriptive statistics of future EDA signa...
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MetaSplice: an ensemble pathogenicity predictor for intronic splice variants

bioRxiv Jul 27, 2026
Splice-altering variants cause an estimated 15-30% of genetic diseases, yet computational tools lose accuracy outside the canonical GT-AG dinucleotides, leaving intronic variants of uncertain significance (VUS) hard to interpret. Here we present Meta...
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