AIMC Topic: Mice
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A novel machine learning-based approach for the detection and analysis of spontaneous synaptic currents.
PloS one
Sep 19, 2022
Spontaneous synaptic activity is a hallmark of biological neural networks. A thorough description of these synaptic signals is essential for understanding neurotransmitter release and the generation of a postsynaptic response. However, the complexity...
Deep learning multi-organ segmentation for whole mouse cryo-images including a comparison of 2D and 3D deep networks.
Scientific reports
Sep 7, 2022
Cryo-imaging provided 3D whole-mouse microscopic color anatomy and fluorescence images that enables biotechnology applications (e.g., stem cells and metastatic cancer). In this report, we compared three methods of organ segmentation: 2D U-Net with 2D...
MouseNet: A biologically constrained convolutional neural network model for the mouse visual cortex.
PLoS computational biology
Sep 6, 2022
Convolutional neural networks trained on object recognition derive inspiration from the neural architecture of the visual system in mammals, and have been used as models of the feedforward computation performed in the primate ventral stream. In contr...
Deep learning-based approach to the characterization and quantification of histopathology in mouse models of colitis.
PloS one
Aug 29, 2022
Inflammatory bowel disease (IBD) is a chronic immune-mediated disease of the gastrointestinal tract. While therapies exist, response can be limited within the patient population. Researchers have thus studied mouse models of colitis to further unders...
Danshao Shugan Granule therapy for non-alcoholic fatty liver disease.
Lipids in health and disease
Aug 23, 2022
BACKGROUND: Danshao Shugan Granules (DSSG), a traditional Chinese medicine (TCM), is given to protect the liver. The objective is to evaluate the mechanisms of the effects of DSSG on non-alcoholic fatty liver disease (NAFLD).
Fully automated mouse echocardiography analysis using deep convolutional neural networks.
American journal of physiology. Heart and circulatory physiology
Aug 19, 2022
Echocardiography (echo) is a translationally relevant ultrasound imaging modality widely used to assess cardiac structure and function in preclinical models of heart failure (HF) during research and drug development. Although echo is a very valuable ...
Development of a spontaneous pain indicator based on brain cellular calcium using deep learning.
Experimental & molecular medicine
Aug 18, 2022
Chronic pain remains an intractable condition in millions of patients worldwide. Spontaneous ongoing pain is a major clinical problem of chronic pain and is extremely challenging to diagnose and treat compared to stimulus-evoked pain. Although extens...
Nuclear morphology is a deep learning biomarker of cellular senescence.
Nature aging
Aug 15, 2022
Cellular senescence is an important factor in aging and many age-related diseases, but understanding its role in health is challenging due to the lack of exclusive or universal markers. Using neural networks, we predict senescence from the nuclear mo...
Anti-Colorectal Cancer Effects of (Bull.: Fr.) P. Karst. Spore Powder through Regulation of Gut Microbiota-Mediated JAK/STAT Signaling.
Nutrients
Aug 12, 2022
(Bull.: Fr.) P. Karst. spore powder (IHS) contains polyphenols and triterpenoids with pharmacological effects. Here, we analyzed its composition, and we investigated the effects of IHS on colorectal cancer (CRC) in B6/JGpt-/Gpt () mice and its poten...
The involvement of gut microbiota in the anti-tumor effect of carnosic acid via IL-17 suppression in colorectal cancer.
Chemico-biological interactions
Aug 1, 2022
Colorectal cancer (CRC) is a malignant tumor that threatens human health worldwide. Disturbance of the gut microbiota caused by various external factors is one of the leading causes. Carnosic acid (CA) is a phenolic diterpene compound, mainly isolate...
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