AIMC Topic: Mice

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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, ...
Cell Line, Tumor Mice Pyridines Animals Deep Learning Protein Kinase Inhibitors Cyclin-Dependent Kinase 4 Cyclin-Dependent Kinase 6 Piperazines Xenograft Model Antitumor Assays Drug Resistance, Neoplasm Humans Female Breast Neoplasms
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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 Polysomnography Deep Learning Sleep Stages Neural Networks, Computer Mice Animals Electroencephalography
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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...
Animals Mouth Mucosa Image Processing, Computer-Assisted Mice Mouth Neoplasms Algorithms Humans Tongue Databases, Factual Neural Networks, Computer Precancerous Conditions Machine Learning
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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...
Mice Microglia Cell Count Animals Deep Learning Humans Brain
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Screening oral drugs for their interactions with the intestinal transportome via porcine tissue explants and machine learning.

Nature biomedical engineering Feb 20, 2024
In vitro systems that accurately model in vivo conditions in the gastrointestinal tract may aid the development of oral drugs with greater bioavailability. Here we show that the interaction profiles between drugs and intestinal drug transporters can ...
Biological Availability Pharmaceutical Preparations Drug Interactions Humans Machine Learning Animals Swine Mice Intestines
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Inference of annealed protein fitness landscapes with AnnealDCA.

PLoS computational biology Feb 20, 2024
The design of proteins with specific tasks is a major challenge in molecular biology with important diagnostic and therapeutic applications. High-throughput screening methods have been developed to systematically evaluate protein activity, but only a...
Mice Mutation Genetic Fitness Machine Learning Animals
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Identification of Hit Compounds Using Artificial Intelligence for the Management of Allergic Diseases.

International journal of molecular sciences Feb 14, 2024
This study aimed to identify and evaluate drug candidates targeting the kinase inhibitory region of suppressor of cytokine signaling (SOCS) 3 for the treatment of allergic rhinitis (AR). Utilizing an artificial intelligence (AI)-based new drug develo...
Artificial Intelligence Cytokines Animals Mice Disease Models, Animal Ovalbumin Mice, Inbred BALB C Nasal Mucosa Immunoglobulin E Suppressor of Cytokine Signaling Proteins Rhinitis, Allergic
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Predicting Single Neuron Responses of the Primary Visual Cortex with Deep Learning Model.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Feb 13, 2024
Modeling neuron responses to stimuli can shed light on next-generation technologies such as brain-chip interfaces. Furthermore, high-performing models can serve to help formulate hypotheses and reveal the mechanisms underlying neural responses. Here ...
Visual Cortex Primary Visual Cortex Neurons Visual Perception Animals Deep Learning Mice
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Feature engineering from meta-data for prediction of differentially expressed genes: An investigation of Mus musculus exposed to space-conditions.

Computational biology and chemistry Feb 6, 2024
Transcription profiling is a key process that can reveal those biological mechanisms driving the response to various exposure conditions or gene perturbations. In this work, we investigate the prediction of differentially expressed genes (DEGs) when ...
Machine Learning Mice MicroRNAs Gene Ontology Databases, Factual Animals ROC Curve
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Phase Aberration Correction for In Vivo Ultrasound Localization Microscopy Using a Spatiotemporal Complex-Valued Neural Network.

IEEE transactions on medical imaging Feb 2, 2024
Ultrasound Localization Microscopy (ULM) can map microvessels at a resolution of a few micrometers ( [Formula: see text]). Transcranial ULM remains challenging in presence of aberrations caused by the skull, which lead to localization errors. Herein,...
Microscopy Microbubbles Skull Neural Networks, Computer Animals Brain Ultrasonography Mice
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