AIMC Topic: Phenotype
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A machine-learned analysis of human gene polymorphisms modulating persisting pain points to major roles of neuroimmune processes.
European journal of pain (London, England)
Jul 13, 2018
BACKGROUND: Human genetic research has implicated functional variants of more than one hundred genes in the modulation of persisting pain. Artificial intelligence and machine-learning techniques may combine this knowledge with results of genetic rese...
Environmental properties of cells improve machine learning-based phenotype recognition accuracy.
Scientific reports
Jul 4, 2018
To answer major questions of cell biology, it is often essential to understand the complex phenotypic composition of cellular systems precisely. Modern automated microscopes produce vast amounts of images routinely, making manual analysis nearly impo...
A new computational intelligence approach to detect autistic features for autism screening.
International journal of medical informatics
Jun 27, 2018
Autism Spectrum Disorder (ASD) is one of the fastest growing developmental disability diagnosis. General practitioners (GPs) and family physicians are typically the first point of contact for patients or family members concerned with ASD traits obser...
Machine learning improved classification of psychoses using clinical and biological stratification: Update from the bipolar-schizophrenia network for intermediate phenotypes (B-SNIP).
Schizophrenia research
May 26, 2018
Annotating Diseases Using Human Phenotype Ontology Improves Prediction of Disease-Associated Long Non-coding RNAs.
Journal of molecular biology
May 24, 2018
Recently, many long non-coding RNAs (lncRNAs) have been identified and their biological function has been characterized; however, our understanding of their underlying molecular mechanisms related to disease is still limited. To overcome the limitati...
Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants.
Scientific reports
May 21, 2018
Current public health guidelines on physical activity and sleep duration are limited by a reliance on subjective self-reported evidence. Using data from simple wrist-worn activity monitors, we developed a tailored machine learning model, using balanc...
Phenotype Extraction Based on Word Embedding to Sentence Embedding Cascaded Approach.
IEEE transactions on nanobioscience
May 18, 2018
As a significant determinant in the development of named entity recognition, phenotypic descriptions are normally presented differently in biomedical literature with the use of complicated semantics. In this paper, a novel approach has been proposed ...
Identifying β-thalassemia carriers using a data mining approach: The case of the Gaza Strip, Palestine.
Artificial intelligence in medicine
May 3, 2018
Thalassemia is considered one of the most common genetic blood disorders that has received excessive attention in the medical research fields worldwide. Under this context, one of the greatest challenges for healthcare professionals is to correctly d...
Phenotypic Antimicrobial Susceptibility Testing with Deep Learning Video Microscopy.
Analytical chemistry
May 3, 2018
Timely determination of antimicrobial susceptibility for a bacterial infection enables precision prescription, shortens treatment time, and helps minimize the spread of antibiotic resistant infections. Current antimicrobial susceptibility testing (AS...
A hierarchical clustering method for dimension reduction in joint analysis of multiple phenotypes.
Genetic epidemiology
Apr 22, 2018
Genome-wide association studies (GWAS) have become a very effective research tool to identify genetic variants of underlying various complex diseases. In spite of the success of GWAS in identifying thousands of reproducible associations between genet...
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