AIMC Topic: Humans
Showing 66841 to 66850 of 95995 articles
Chaos enhanced grey wolf optimization wrapped ELM for diagnosis of paraquat-poisoned patients.
Computational biology and chemistry
Nov 22, 2018
Paraquat (PQ) poisoning seriously harms the health of humanity. An effective diagnostic method for paraquat poisoned patients is a crucial concern. Nevertheless, it's difficult to identify the patients with low intake of PQ or delayed treatment. Here...
Supervised machine learning to decipher the complex associations between neuro-immune biomarkers and quality of life in schizophrenia.
Metabolic brain disease
Nov 22, 2018
Stable phase schizophrenia is characterized by altered patterning in tryptophan catabolites (TRYCATs) and memory impairments, which are associated with PHEMN (psychosis, hostility, excitation, mannerism and negative) and DAPS (depression, anxiety and...
Higher serum levels of fibroblast growth factor 21 in old patients with cachexia.
Nutrition (Burbank, Los Angeles County, Calif.)
Nov 22, 2018
OBJECTIVE: Fibroblast growth factor (FGF)21 is promptly induced by short fasting in animal models to regulate glucose and fat metabolism. Data on FGF21 in humans are inconsistent and FGF21 has not yet been investigated in old patients with cachexia, ...
A picture tells a thousand…exposures: Opportunities and challenges of deep learning image analyses in exposure science and environmental epidemiology.
Environment international
Nov 22, 2018
BACKGROUND: Artificial intelligence (AI) is revolutionizing our world, with applications ranging from medicine to engineering.
Artificial intelligence for aging and longevity research: Recent advances and perspectives.
Ageing research reviews
Nov 22, 2018
The applications of modern artificial intelligence (AI) algorithms within the field of aging research offer tremendous opportunities. Aging is an almost universal unifying feature possessed by all living organisms, tissues, and cells. Modern deep lea...
A multi-context learning approach for EEG epileptic seizure detection.
BMC systems biology
Nov 22, 2018
BACKGROUND: Epilepsy is a neurological disease characterized by unprovoked seizures in the brain. The recent advances in sensor technologies allow researchers to analyze the collected biological records to improve the treatment of epilepsy. Electroen...
Artificial intelligence and medical imaging 2018: French Radiology Community white paper.
Diagnostic and interventional imaging
Nov 22, 2018
The rapid development of information technology and data processing capabilities has led to the creation of new tools known as artificial intelligence (AI). Medical applications of AI are emerging, and the French radiology community felt it was there...
Deleterious Non-Synonymous Single Nucleotide Polymorphism Predictions on Human Transcription Factors.
IEEE/ACM transactions on computational biology and bioinformatics
Nov 21, 2018
Transcription factors (TFs) are the major components of human gene regulation. In particular, they bind onto specific DNA sequences and regulate neighborhood genes in different tissues at different developmental stages. Non-synonymous single nucleoti...
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Machine Learning Methods as a Tool for Predicting Risk of Illness Applying Next-Generation Sequencing Data.
Risk analysis : an official publication of the Society for Risk Analysis
Nov 21, 2018
Next-generation sequencing (NGS) data present an untapped potential to improve microbial risk assessment (MRA) through increased specificity and redefinition of the hazard. Most of the MRA models do not account for differences in survivability and vi...
Analysis of body pressure distribution on car seats by using deep learning.
Applied ergonomics
Nov 21, 2018
This study aimed to extract information from body pressure distribution, including comfort, participant body size, and seat characteristics by using supervised deep learning, and body pressure characteristics corresponding to sensory evaluation by us...
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