AIMC Topic: Animals

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High-throughput markerless pose estimation and home-cage activity analysis of tree shrew using deep learning.

Animal models and experimental medicine Jan 23, 2025
BACKGROUND: Quantifying the rich home-cage activities of tree shrews provides a reliable basis for understanding their daily routines and building disease models. However, due to the lack of effective behavioral methods, most efforts on tree shrew be...
Female Deep Learning Animals Behavior, Animal Male Tupaiidae
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KanCell: dissecting cellular heterogeneity in biological tissues through integrated single-cell and spatial transcriptomics.

Journal of genetics and genomics = Yi chuan xue bao Jan 23, 2025
KanCell is a deep learning model based on Kolmogorov-Arnold networks (KAN) designed to enhance cellular heterogeneity analysis by integrating single-cell RNA sequencing and spatial transcriptomics (ST) data. ST technologies provide insights into gene...
Humans Mice Computational Biology Sequence Analysis, RNA Transcriptome Deep Learning Single-Cell Analysis Animals Gene Expression Profiling
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Optimizing Biomimetic 3D Disordered Fibrous Network Structures for Lightweight, High-Strength Materials via Deep Reinforcement Learning.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jan 23, 2025
3D disordered fibrous network structures (3D-DFNS), such as cytoskeletons, collagen matrices, and spider webs, exhibit remarkable material efficiency, lightweight properties, and mechanical adaptability. Despite their widespread in nature, the integr...
Deep Learning Silk Molecular Dynamics Simulation Biomimetics Biomimetic Materials Reinforcement Machine Learning Animals
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Mapping the topography of spatial gene expression with interpretable deep learning.

Nature methods Jan 23, 2025
Spatially resolved transcriptomics technologies provide high-throughput measurements of gene expression in a tissue slice, but the sparsity of these data complicates analysis of spatial gene expression patterns. We address this issue by deriving a to...
Mice Transcriptome Deep Learning Humans Tumor Microenvironment Animals Gene Expression Profiling Neural Networks, Computer Algorithms Brain
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Insights into the contribution of multiple factors on Ixodes ricinus abundance across Europe spanning 20 years using different machine learning algorithms.

Ticks and tick-borne diseases Jan 23, 2025
The interplay of biotic and abiotic factors driving Ixodes ricinus abundance trends are not fully understood. Machine learning (ML) approaches are being increasingly used to explore this and predict future abundance patterns of this species, however,...
Population Density Ixodes Europe Climate Machine Learning Algorithms Animals Ecosystem
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Nanobody screening and machine learning guided identification of cross-variant anti-SARS-CoV-2 neutralizing heavy-chain only antibodies.

PLoS pathogens Jan 23, 2025
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) continues to persist, demonstrating the risks posed by emerging infectious diseases to national security, public health, and the economy. Development of new vaccines and antibodies for emer...
COVID-19 SARS-CoV-2 Animals Peptide Library Antibodies, Viral Spike Glycoprotein, Coronavirus Humans Machine Learning Single-Domain Antibodies Immunoglobulin Heavy Chains Antibodies, Neutralizing High-Throughput Screening Assays
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Feature selection enhances peptide binding predictions for TCR-specific interactions.

Frontiers in immunology Jan 23, 2025
INTRODUCTION: T-cell receptors (TCRs) play a critical role in the immune response by recognizing specific ligand peptides presented by major histocompatibility complex (MHC) molecules. Accurate prediction of peptide binding to TCRs is essential for a...
Mice Peptide Library Peptides Receptors, Antigen, T-Cell Protein Binding Machine Learning Animals
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An Open-Source, User-Friendly Machine-Learning Method for Automated Segmentation and Analysis of Peripheral Nerve Cross-Sections.

Plastic and reconstructive surgery Jan 22, 2025
BACKGROUND: Quantitative neuromorphometric analysis of the peripheral nerve is paramount to nerve regeneration research. However, this technique relies upon accurate segmentation and determination of myelin and axonal area. Manual histologic analysis...
Machine Learning Software Reproducibility of Results Myelin Sheath Axons Facial Nerve Animals Image Processing, Computer-Assisted Rats
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Deep learning-based image classification reveals heterogeneous execution of cell death fates during viral infection.

Molecular biology of the cell Jan 22, 2025
Cell fate decisions, such as proliferation, differentiation, and death, are driven by complex molecular interactions and signaling cascades. While significant progress has been made in understanding the molecular determinants of these processes, hist...
Herpes Simplex Apoptosis Necroptosis Pyroptosis Cell Death Chlorocebus aethiops Herpesvirus 1, Human Deep Learning Image Processing, Computer-Assisted Signal Transduction Humans Animals
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Self-supervised learning of scale-invariant neural representations of space and time.

Journal of computational neuroscience Jan 22, 2025
Hippocampal representations of space and time seem to share a common coding scheme characterized by neurons with bell-shaped tuning curves called place and time cells. The properties of the tuning curves are consistent with Weber's law, such that, in...
Learning Animals Models, Neurological Neural Networks, Computer Space Perception Time Perception Supervised Machine Learning Neurons Hippocampus
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