AIMC Topic: Disease

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Host variables confound gut microbiota studies of human disease.

Nature Nov 4, 2020
Low concordance between studies that examine the role of microbiota in human diseases is a pervasive challenge that limits the capacity to identify causal relationships between host-associated microorganisms and pathology. The risk of obtaining false...
Aged Diabetes Mellitus, Type 2 Aged, 80 and over Alcohol Drinking Body Mass Index Machine Learning Humans Young Adult Disease Gastrointestinal Microbiome Residence Characteristics Middle Aged Data Analysis Case-Control Studies RNA, Ribosomal, 16S Life Style Area Under Curve Diet Female Feces Adult Confounding Factors, Epidemiologic Gastrointestinal Motility ROC Curve Male
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Use of artificial intelligence to recover mandibular morphology after disease.

Scientific reports Oct 2, 2020
Mandibular tumors and radical oral cancer surgery often cause bone dysmorphia and defects. Most patients present with noticeable mandibular deformations, and doctors often have difficulty determining their exact mandibular morphology. In this study, ...
Mandible Artificial Intelligence Humans Disease Tomography, X-Ray Computed Female Male
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Evaluating the informativeness of deep learning annotations for human complex diseases.

Nature communications Sep 17, 2020
Deep learning models have shown great promise in predicting regulatory effects from DNA sequence, but their informativeness for human complex diseases is not fully understood. Here, we evaluate genome-wide SNP annotations from two previous deep learn...
Alleles Genome, Human Disease Molecular Sequence Annotation Genetic Predisposition to Disease Polymorphism, Single Nucleotide Models, Genetic Histones Linkage Disequilibrium Deep Learning Genome-Wide Association Study Humans Phenotype
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MosaicBase: A Knowledgebase of Postzygotic Mosaic Variants in Noncancer Disease-related and Healthy Human Individuals.

Genomics, proteomics & bioinformatics Sep 8, 2020
Mosaic variants resulting from postzygotic mutations are prevalent in the human genome and play important roles in human diseases. However, except for cancer-related variants, there is no collection of postzygotic mosaic variants in noncancer disease...
Knowledge Bases User-Computer Interface Genome, Human Humans Databases, Genetic Mosaicism Zygote Software Mutation Disease Phenotype Health
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iPiDA-sHN: Identification of Piwi-interacting RNA-disease associations by selecting high quality negative samples.

Computational biology and chemistry Aug 29, 2020
As a large group of small non-coding RNAs (ncRNAs), Piwi-interacting RNAs (piRNAs) have been detected to be associated with various diseases. Identifying disease associated piRNAs can provide promising candidate molecular targets to promote the drug ...
Disease Humans Neural Networks, Computer RNA, Small Interfering
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Medical Information Extraction in the Age of Deep Learning.

Yearbook of medical informatics Aug 21, 2020
OBJECTIVES: We survey recent developments in medical Information Extraction (IE) as reported in the literature from the past three years. Our focus is on the fundamental methodological paradigm shift from standard Machine Learning (ML) techniques to ...
Deep Learning Natural Language Processing Pharmaceutical Preparations Information Storage and Retrieval Medical Informatics Drug Interactions Datasets as Topic Humans Neural Networks, Computer Disease
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Structuring, reuse and analysis of electronic dental data using the Oral Health and Disease Ontology.

Journal of biomedical semantics Aug 20, 2020
BACKGROUND: A key challenge for improving the quality of health care is to be able to use a common framework to work with patient information acquired in any of the health and life science disciplines. Patient information collected during dental care...
Biological Ontologies Disease Electronic Health Records Oral Health
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Identifying disease trajectories with predicate information from a knowledge graph.

Journal of biomedical semantics Aug 20, 2020
BACKGROUND: Knowledge graphs can represent the contents of biomedical literature and databases as subject-predicate-object triples, thereby enabling comprehensive analyses that identify e.g. relationships between diseases. Some diseases are often dia...
Information Storage and Retrieval Semantics Biological Ontologies Disease Computer Graphics Humans ROC Curve
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Improving the accuracy of medical diagnosis with causal machine learning.

Nature communications Aug 11, 2020
Machine learning promises to revolutionize clinical decision making and diagnosis. In medical diagnosis a doctor aims to explain a patient's symptoms by determining the diseases causing them. However, existing machine learning approaches to diagnosis...
Data Accuracy Disease Diagnosis Models, Statistical Bayes Theorem Data Collection Algorithms Diagnosis, Computer-Assisted Decision Making Humans Machine Learning
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Oral microbiome-systemic link studies: perspectives on current limitations and future artificial intelligence-based approaches.

Critical reviews in microbiology May 21, 2020
In the past decade, there has been a tremendous increase in studies on the link between oral microbiome and systemic diseases. However, variations in study design and confounding variables across studies often lead to inconsistent observations. In th...
Female Diabetes Mellitus, Type 2 Arthritis, Rheumatoid Humans Neural Networks, Computer Mouth Pancreatic Neoplasms Artificial Intelligence Metagenomics Disease Pregnancy Atherosclerosis Diagnosis Microbiota
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