AIMC Topic: Disease Models, Animal

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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...
Machine Learning Brain Animals RNA-Seq Mice Humans Gene Expression Regulation Trinucleotide Repeats Huntington Disease RNA, Messenger Huntingtin Protein Gene Knock-In Techniques Proteomics Disease Models, Animal MicroRNAs Neurons
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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...
Genomics Disease Models, Animal Artificial Intelligence Translational Research, Biomedical Humans Drug Discovery Molecular Targeted Therapy Machine Learning Biomarkers Antineoplastic Agents Precision Medicine Cell Line, Tumor Animals Liver Neoplasms Carcinoma, Hepatocellular
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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...
Humans Animals Severity of Illness Index Deep Learning Image Processing, Computer-Assisted Feasibility Studies Mice Non-alcoholic Fatty Liver Disease Rats Microscopy Disease Models, Animal Datasets as Topic Liver Biopsy
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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...
Image Processing, Computer-Assisted Rats Disease Models, Animal Stroke Nervous System Diseases Neural Networks, Computer Animals Male 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...
Pattern Recognition, Automated Sheep, Domestic Humans Neural Networks, Computer Tomography, X-Ray Computed Animals Swine Deep Learning Disease Models, Animal Respiratory Distress Syndrome Dogs Datasets as Topic
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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...
Autistic Disorder Pupil Arousal Methyl-CpG-Binding Protein 2 Humans Cohort Studies Rett Syndrome Female Mice Animals Disease Models, Animal Male Protein Serine-Threonine Kinases Deep Learning Acetylcholine
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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...
Humans Machine Learning Biomarkers Retrospective Studies Female Risk Factors Arthritis Animals Wounds and Injuries Male Macaca mulatta Case-Control Studies Colitis Gastrointestinal Neoplasms Diarrhea Serum Amyloid A Protein Endometriosis Adenocarcinoma Cholesterol, HDL Disease Models, Animal Amyloidosis Models, Statistical Triglycerides Cholesterol, LDL
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Real-time analysis of the behaviour of groups of mice via a depth-sensing camera and machine learning.

Nature biomedical engineering May 20, 2019
Preclinical studies of psychiatric disorders use animal models to investigate the impact of environmental factors or genetic mutations on complex traits such as decision-making and social interactions. Here, we introduce a method for the real-time an...
Microfilament Proteins Video Recording Autistic Disorder Behavior, Animal Behavioral Research Social Behavior Mice Disease Models, Animal Nerve Tissue Proteins Machine Learning Mice, Knockout Phenotype Mutation Female Animals Male
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Refining humane endpoints in mouse models of disease by systematic review and machine learning-based endpoint definition.

ALTEX Apr 18, 2019
Ideally, humane endpoints allow for early termination of experiments by minimizing an animal's discomfort, distress and pain, while ensuring that scientific objectives are reached. Yet, lack of commonly agreed methodology and heterogeneity of cut-off...
Systematic Reviews as Topic Random Allocation Female Stroke Time Factors Body Temperature Body Weight Animals Mice Ethical Review Supervised Machine Learning Disease Models, Animal Male Mice, Inbred C57BL Animal Welfare Severity of Illness Index Mice, Knockout Sepsis
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Exon level machine learning analyses elucidate novel candidate miRNA targets in an avian model of fetal alcohol spectrum disorder.

PLoS computational biology Apr 11, 2019
Gestational alcohol exposure causes fetal alcohol spectrum disorder (FASD) and is a prominent cause of neurodevelopmental disability. Whole transcriptome sequencing (RNA-Seq) offer insights into mechanisms underlying FASD, but gene-level analysis pro...
Chick Embryo Ethanol Humans Disease Models, Animal Female Pregnancy Unsupervised Machine Learning Animals Cluster Analysis MicroRNAs Gene Expression Profiling Principal Component Analysis Big Data Databases, Nucleic Acid Computational Biology Exons Fetal Alcohol Spectrum Disorders
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