AIMC Topic: Disease Models, Animal

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Artificial intelligence and network pharmacology based investigation of pharmacological mechanism and substance basis of Xiaokewan in treating diabetes.

Pharmacological research May 25, 2020
Xiaokewan is a typical Traditional Chinese medicine (TCM) for diabetes and contains various natural chemicals, such as lignans, flavonoids, saponins, polysaccharides, and western medicine glibenclamide. In the current study, a highly efficient system...
Tandem Mass Spectrometry Data Mining Spectrometry, Mass, Electrospray Ionization Gene Regulatory Networks Animals, Genetically Modified Systems Biology Rats, Wistar Hypoglycemic Agents Diabetes Mellitus Disease Models, Animal Drugs, Chinese Herbal Workflow Biomarkers Zebrafish Animals Chromatography, High Pressure Liquid Male Blood Glucose Protein Interaction Maps Artificial Intelligence
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AxoNet: A deep learning-based tool to count retinal ganglion cell axons.

Scientific reports May 15, 2020
In this work, we develop a robust, extensible tool to automatically and accurately count retinal ganglion cell axons in optic nerve (ON) tissue images from various animal models of glaucoma. We adapted deep learning to regress pixelwise axon count de...
Software Optic Nerve Algorithms Female Models, Biological Reproducibility of Results Retinal Ganglion Cells Male Axons Glaucoma Optic Nerve Diseases Animals Deep Learning Disease Susceptibility Computational Biology Rats Disease Models, Animal
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Enabling pregnant women and their physicians to make informed medication decisions using artificial intelligence.

Journal of pharmacokinetics and pharmacodynamics Apr 11, 2020
The role of artificial intelligence (AI) in healthcare for pregnant women. To assess the role of AI in women's health, discover gaps, and discuss the future of AI in maternal health. A systematic review of English articles using EMBASE, PubMed, and S...
Humans Machine Learning Disease Models, Animal Maternal Health Drug-Related Side Effects and Adverse Reactions Pharmacovigilance Pregnancy Complications Physicians Pregnancy Female Animals Prenatal Care Decision Making, Shared Perinatal Care Maternal-Fetal Exchange Preconception Care
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Combining feature selection and shape analysis uncovers precise rules for miRNA regulation in Huntington's disease mice.

BMC bioinformatics Feb 24, 2020
BACKGROUND: MicroRNA (miRNA) regulation is associated with several diseases, including neurodegenerative diseases. Several approaches can be used for modeling miRNA regulation. However, their precision may be limited for analyzing multidimensional da...
Huntington Disease Huntingtin Protein Gene Knock-In Techniques Disease Models, Animal MicroRNAs Neurons Gene Expression Regulation Trinucleotide Repeats Humans Machine Learning Brain Animals RNA-Seq Mice RNA, Messenger Proteomics
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Harnessing big 'omics' data and AI for drug discovery in hepatocellular carcinoma.

Nature reviews. Gastroenterology & hepatology Jan 3, 2020
Hepatocellular carcinoma (HCC) is the most common form of primary adult liver cancer. After nearly a decade with sorafenib as the only approved treatment, multiple new agents have demonstrated efficacy in clinical trials, including the targeted thera...
Translational Research, Biomedical Molecular Targeted Therapy Cell Line, Tumor Liver Neoplasms Carcinoma, Hepatocellular Genomics Disease Models, Animal Biomarkers Precision Medicine Animals Drug Discovery Antineoplastic Agents Humans Artificial Intelligence Machine Learning
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Deep learning enables pathologist-like scoring of NASH models.

Scientific reports Dec 5, 2019
Non-alcoholic fatty liver disease (NAFLD) and the progressive form of non-alcoholic steatohepatitis (NASH) are diseases of major importance with a high unmet medical need. Efficacy studies on novel compounds to treat NAFLD/NASH using disease models a...
Rats Disease Models, Animal Animals Liver Severity of Illness Index Biopsy Deep Learning Humans Non-alcoholic Fatty Liver Disease Feasibility Studies Image Processing, Computer-Assisted Microscopy Mice Datasets as Topic
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Data-driven analyses of motor impairments in animal models of neurological disorders.

PLoS biology Nov 21, 2019
Behavior provides important insights into neuronal processes. For example, analysis of reaching movements can give a reliable indication of the degree of impairment in neurological disorders such as stroke, Parkinson disease, or Huntington disease. T...
Neural Networks, Computer Animals Male Image Processing, Computer-Assisted Rats Disease Models, Animal Stroke Nervous System Diseases Motor Skills Movement Motor Activity Motor Disorders Forelimb
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Multi-resolution convolutional neural networks for fully automated segmentation of acutely injured lungs in multiple species.

Medical image analysis Nov 7, 2019
Segmentation of lungs with acute respiratory distress syndrome (ARDS) is a challenging task due to diffuse opacification in dependent regions which results in little to no contrast at the lung boundary. For segmentation of severely injured lungs, loc...
Sheep, Domestic Disease Models, Animal Respiratory Distress Syndrome Dogs Datasets as Topic Pattern Recognition, Automated Neural Networks, Computer Tomography, X-Ray Computed Animals Swine Humans Deep Learning
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Deep learning of spontaneous arousal fluctuations detects early cholinergic defects across neurodevelopmental mouse models and patients.

Proceedings of the National Academy of Sciences of the United States of America Jul 22, 2019
Neurodevelopmental spectrum disorders like autism (ASD) are diagnosed, on average, beyond age 4 y, after multiple critical periods of brain development close and behavioral intervention becomes less effective. This raises the urgent need for quantita...
Female Pupil Animals Mice Humans Arousal Male Disease Models, Animal Methyl-CpG-Binding Protein 2 Deep Learning Protein Serine-Threonine Kinases Cohort Studies Rett Syndrome Acetylcholine Autistic Disorder
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Modelling disease risk for amyloid A (AA) amyloidosis in non-human primates using machine learning.

Amyloid : the international journal of experimental and clinical investigation : the official journal of the International Society of Amyloidosis Jun 18, 2019
Amyloid A (AA) amyloidosis is found in humans and non-human primates, but quantifying disease risk prior to clinical symptoms is challenging. We applied machine learning to identify the best predictors of amyloidosis in rhesus macaques from availabl...
Adenocarcinoma Wounds and Injuries Risk Factors Endometriosis Disease Models, Animal Macaca mulatta Animals Humans Cholesterol, HDL Models, Statistical Colitis Male Amyloidosis Machine Learning Cholesterol, LDL Case-Control Studies Serum Amyloid A Protein Triglycerides Biomarkers Gastrointestinal Neoplasms Diarrhea Arthritis Retrospective Studies Female
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