AIMC Topic: Colitis

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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...
Humans Disease Models, Animal Mice, Inbred C57BL Dextran Sulfate Colitis Animals Colon Deep Learning Mice
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Discovery of Pyrazolo[3,4-]pyridazinone Derivatives as Selective DDR1 Inhibitors via Deep Learning Based Design, Synthesis, and Biological Evaluation.

Journal of medicinal chemistry Nov 25, 2021
Alterations of discoidin domain receptor1 (DDR1) may lead to increased production of inflammatory cytokines, making DDR1 an attractive target for inflammatory bowel disease (IBD) therapy. A scaffold-based molecular design workflow was established and...
Colitis Discoidin Domain Receptor 1 Pyrazolones Protein Kinase Inhibitors Pyridazines Dextran Sulfate Drug Discovery Deep Learning Mice Mice, Inbred C57BL Humans Animals Drug Screening Assays, Antitumor Drug Design Molecular Structure Mice, Inbred ICR Anti-Inflammatory Agents
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Artificial intelligence guided discovery of a barrier-protective therapy in inflammatory bowel disease.

Nature communications Jul 12, 2021
Modeling human diseases as networks simplify complex multi-cellular processes, helps understand patterns in noisy data that humans cannot find, and thereby improves precision in prediction. Using Inflammatory Bowel Disease (IBD) as an example, here w...
Animals Cohort Studies Mice Treatment Outcome Machine Learning Inflammatory Bowel Diseases Reproducibility of Results AMP-Activated Protein Kinases Multigene Family Gene Expression Regulation Molecular Targeted Therapy Disease Models, Animal Mice, Inbred C57BL Intestinal Mucosa Mice, Knockout Humans Artificial Intelligence Organoids Likelihood Functions Dextran Sulfate Colitis
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Microbiome Preprocessing Machine Learning Pipeline.

Frontiers in immunology Jun 18, 2021
BACKGROUND: 16S sequencing results are often used for Machine Learning (ML) tasks. 16S gene sequences are represented as feature counts, which are associated with taxonomic representation. Raw feature counts may not be the optimal representation for ...
Colitis Mucositis Phylogeny Mice Bacteria Pregnancy Progesterone Gastrointestinal Microbiome Female Humans RNA, Ribosomal, 16S Neural Networks, Computer Adult Hematopoietic Stem Cell Transplantation Machine Learning Animals Interleukin-1alpha
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Proof of Concept for a Deep Learning Algorithm for Identification and Quantification of Key Microscopic Features in the Murine Model of DSS-Induced Colitis.

Toxicologic pathology Feb 12, 2021
Inflammatory bowel disease (IBD) is a complex disease which leads to life-threatening complications and decreased quality of life. The dextran sulfate sodium (DSS) colitis model in mice is known for rapid screening of candidate compounds. Efficacy as...
Mice Disease Models, Animal Mice, Inbred C57BL Dextran Sulfate Colitis Animals Colon Quality of Life Deep Learning Artificial Intelligence
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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...
Colitis Serum Amyloid A Protein Triglycerides Arthritis Retrospective Studies Wounds and Injuries Female Macaca mulatta Risk Factors Endometriosis Male Animals Disease Models, Animal Cholesterol, HDL Humans Case-Control Studies Amyloidosis Machine Learning Diarrhea Models, Statistical Biomarkers Adenocarcinoma Cholesterol, LDL Gastrointestinal Neoplasms
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Ontology-Based Interactive Visualization of Patient-Generated Research Questions.

Applied clinical informatics Jun 5, 2019
BACKGROUND: Crohn's disease and colitis are chronic conditions that affect every facet of patients' lives (e.g., social interaction, family, work, diet, and sleep). Thus, treatment consists largely of disease management. The University of North Carol...
Feedback Crohn Disease Humans Biomedical Research Data Mining User-Computer Interface Biological Ontologies Colitis
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Detection and diagnosis of colitis on computed tomography using deep convolutional neural networks.

Medical physics Jul 18, 2017
PURPOSE: Colitis refers to inflammation of the inner lining of the colon that is frequently associated with infection and allergic reactions. In this paper, we propose deep convolutional neural networks methods for lesion-level colitis detection and ...
Sensitivity and Specificity Humans Support Vector Machine Neural Networks, Computer Colitis Tomography, X-Ray Computed
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Artificial intelligence in inflammatory bowel disease: current status and opportunities.

Chinese medical journal Apr 5, 2020
Humans Artificial Intelligence Inflammatory Bowel Diseases Colitis, Ulcerative Colitis
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