AIMC Topic: Mice

Clear Filters Showing 421 to 430 of 1498 articles

Deep learning-based predictive classification of functional subpopulations of hematopoietic stem cells and multipotent progenitors.

Stem cell research & therapy Mar 13, 2024
BACKGROUND: Hematopoietic stem cells (HSCs) and multipotent progenitors (MPPs) play a pivotal role in maintaining lifelong hematopoiesis. The distinction between stem cells and other progenitors, as well as the assessment of their functions, has long...
Hematopoietic Stem Cells Multipotent Stem Cells Animals Deep Learning Mice Cell Differentiation Hematopoiesis
View on PubMed DOI

End-to-end deep learning approach to mouse behavior classification from cortex-wide calcium imaging.

PLoS computational biology Mar 13, 2024
Deep learning is a powerful tool for neural decoding, broadly applied to systems neuroscience and clinical studies. Interpretable and transparent models that can explain neural decoding for intended behaviors are crucial to identifying essential feat...
Deep Learning Neural Networks, Computer Cerebral Cortex Mice Brain Calcium Animals
View on PubMed DOI

Predicting lncRNA-protein interactions through deep learning framework employing multiple features and random forest algorithm.

BMC bioinformatics Mar 12, 2024
RNA-protein interaction (RPI) is crucial to the life processes of diverse organisms. Various researchers have identified RPI through long-term and high-cost biological experiments. Although numerous machine learning and deep learning-based methods fo...
Deep Learning Mice Computational Biology RNA, Long Noncoding Random Forest Neural Networks, Computer Machine Learning Animals
View on PubMed DOI

An accurately supervised motion-aware deep network for non-contact pain assessment of trigeminal neuralgia mouse model.

Journal of oral & facial pain and headache Mar 12, 2024
Pain assessment in trigeminal neuralgia (TN) mouse models is essential for exploring its pathophysiology and developing effective analgesics. However, pain assessment methods for TN mouse models have not been widely studied, resulting in a critical g...
Deep Learning Mice Disease Models, Animal Pain Measurement Facial Expression Trigeminal Neuralgia Neural Networks, Computer Animals
View on PubMed DOI

Deep Learning-Driven Exploration of Pyrroloquinoline Quinone Neuroprotective Activity in Alzheimer's Disease.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Mar 7, 2024
Alzheimer's disease (AD) is a pressing concern in neurodegenerative research. To address the challenges in AD drug development, especially those targeting Aβ, this study uses deep learning and a pharmacological approach to elucidate the potential of ...
Mice Neuroprotective Agents Disease Models, Animal Animals Male Deep Learning Alzheimer Disease PQQ Cofactor Blood-Brain Barrier
View on PubMed DOI

Using a deep learning prior for accelerating hyperpolarized C MRSI on synthetic cancer datasets.

Magnetic resonance in medicine Mar 5, 2024
PURPOSE: We aimed to incorporate a deep learning prior with k-space data fidelity for accelerating hyperpolarized carbon-13 MRSI, demonstrated on synthetic cancer datasets.
Male Deep Learning Image Processing, Computer-Assisted Brain Brain Neoplasms Animals Signal-To-Noise Ratio Phantoms, Imaging Humans Carbon Isotopes Algorithms Mice Magnetic Resonance Imaging Prostatic Neoplasms
View on PubMed DOI

A deep learning model of tumor cell architecture elucidates response and resistance to CDK4/6 inhibitors.

Nature cancer Mar 5, 2024
Cyclin-dependent kinase 4 and 6 inhibitors (CDK4/6is) have revolutionized breast cancer therapy. However, <50% of patients have an objective response, and nearly all patients develop resistance during therapy. To elucidate the underlying mechanisms, ...
Female Breast Neoplasms Animals Humans Drug Resistance, Neoplasm Protein Kinase Inhibitors Cyclin-Dependent Kinase 4 Cyclin-Dependent Kinase 6 Pyridines Piperazines Xenograft Model Antitumor Assays Deep Learning Cell Line, Tumor Mice
View on PubMed DOI

SlumberNet: deep learning classification of sleep stages using residual neural networks.

Scientific reports Feb 27, 2024
Sleep research is fundamental to understanding health and well-being, as proper sleep is essential for maintaining optimal physiological function. Here we present SlumberNet, a novel deep learning model based on residual network (ResNet) architecture...
Sleep Deep Learning Neural Networks, Computer Mice Animals Polysomnography Electroencephalography Sleep Stages
View on PubMed DOI

OralEpitheliumDB: A Dataset for Oral Epithelial Dysplasia Image Segmentation and Classification.

Journal of imaging informatics in medicine Feb 26, 2024
Early diagnosis of potentially malignant disorders, such as oral epithelial dysplasia, is the most reliable way to prevent oral cancer. Computational algorithms have been used as an auxiliary tool to aid specialists in this process. Usually, experime...
Image Processing, Computer-Assisted Mice Humans Mouth Neoplasms Tongue Neural Networks, Computer Algorithms Precancerous Conditions Machine Learning Databases, Factual Mouth Mucosa Animals
View on PubMed DOI

A novel deep learning-based method for automatic stereology of microglia cells from low magnification images.

Neurotoxicology and teratology Feb 23, 2024
Microglial cells mediate diverse homeostatic, inflammatory, and immune processes during normal development and in response to cytotoxic challenges. During these functional activities, microglial cells undergo distinct numerical and morphological chan...
Cell Count Deep Learning Mice Microglia Humans Brain Animals
View on PubMed DOI
Popular Topics
Recent Journals