AIMC Topic: Humans

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Product Module Network Modeling and Evolution Analysis.

Computational intelligence and neuroscience Mar 6, 2019
Modular technology for product design and manufacturing is an effective way to solve mass customization problems. One difficulty in the application of modular technology is that the characteristics of mass customization, such as multi batch and small...
Algorithms Humans Models, Biological Neural Networks, Computer Entropy Artificial Intelligence
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Predictive markers for Parkinson's disease using deep neural nets on neuromelanin sensitive MRI.

NeuroImage. Clinical Mar 6, 2019
Neuromelanin sensitive magnetic resonance imaging (NMS-MRI) has been crucial in identifying abnormalities in the substantia nigra pars compacta (SNc) in Parkinson's disease (PD) as PD is characterized by loss of dopaminergic neurons in the SNc. Curre...
Biomarkers Supranuclear Palsy, Progressive Humans Substantia Nigra Female Magnetic Resonance Imaging Male Neuroimaging Sensitivity and Specificity Parkinson Disease Middle Aged Melanins Diagnosis, Differential Deep Learning Multiple System Atrophy Image Processing, Computer-Assisted
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DeephESC 2.0: Deep Generative Multi Adversarial Networks for improving the classification of hESC.

PloS one Mar 6, 2019
Human embryonic stem cells (hESC), derived from the blastocysts, provide unique cellular models for numerous potential applications. They have great promise in the treatment of diseases such as Parkinson's, Huntington's, diabetes mellitus, etc. hESC ...
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Cells, Cultured Human Embryonic Stem Cells Humans Image Processing, Computer-Assisted Intravital Microscopy Video Recording Neural Networks, Computer Signal-To-Noise Ratio Machine Learning
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Exploring the use of machine learning for risk adjustment: A comparison of standard and penalized linear regression models in predicting health care costs in older adults.

PloS one Mar 6, 2019
BACKGROUND: Payers and providers still primarily use ordinary least squares (OLS) to estimate expected economic and clinical outcomes for risk adjustment purposes. Penalized linear regression represents a practical and incremental step forward that p...
Adult Male Comorbidity Linear Models Risk Adjustment Machine Learning Health Care Costs Humans Retrospective Studies Female Aged
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Cyborg groups enhance face recognition in crowded environments.

PloS one Mar 6, 2019
Recognizing a person in a crowded environment is a challenging, yet critical, visual-search task for both humans and machine-vision algorithms. This paper explores the possibility of combining a residual neural network (ResNet), brain-computer interf...
Humans Reaction Time Healthy Volunteers Brain-Computer Interfaces Facial Recognition Adult Neural Networks, Computer Evoked Potentials, Visual Male Brain Decision Making Female Electroencephalography
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Psychological characteristics and stress differentiate between high from low health trajectories in later life: a machine learning analysis.

Aging & mental health Mar 5, 2019
: This study set out to empirically identify joint health trajectories in individuals of advanced age. Predictors of subgroup allocation were investigated to identify the impact of psychological characteristics, stress, and socio-demographic variable...
Surveys and Questionnaires Stress, Psychological Longitudinal Studies Personal Satisfaction Humans Machine Learning Aged Resilience, Psychological
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Identification of esophageal cancer pathway deviation and construction of a diagnosis model using three kernel genes.

Journal of cellular physiology Mar 5, 2019
The purpose of this study is to better understand the role of interleukin 35 (IL35) in esophageal carcinoma by comparing the mRNA level in Barrett's esophageal mucosa and in matched normal squamous mucosa and to understand how the diagnosis model wor...
Humans Reproducibility of Results Deep Learning Gene Expression Profiling Biomarkers, Tumor Gene Expression Regulation, Neoplastic Cyclic AMP Response Element-Binding Protein Transcriptome Models, Genetic Case-Control Studies Esophageal Squamous Cell Carcinoma Databases, Genetic Hepatocyte Nuclear Factor 1-beta Early Detection of Cancer Interleukin-12 Subunit p35 Nerve Tissue Proteins Predictive Value of Tests Esophageal Neoplasms
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Discovery of small molecule binders of human FSHR(TMD) with novel structural scaffolds by integrating structural bioinformatics and machine learning algorithms.

Journal of molecular graphics & modelling Mar 5, 2019
BACKGROUND: The activation of follicle stimulating hormone receptor (FSHR) by FSH and the consequent downstream signaling activities are crucial for reproductive health. The role of FSHR in tumor progression as well as osteoporosis advancement has al...
Receptors, FSH Binding Sites Computers, Molecular Models, Molecular Humans Ligands Machine Learning Hydrophobic and Hydrophilic Interactions Drug Design Protein Binding Quantitative Structure-Activity Relationship Computational Biology Cell Line
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Offline and online myoelectric pattern recognition analysis and real-time control of a robotic hand after spinal cord injury.

Journal of neural engineering Mar 5, 2019
OBJECTIVE: The objective of this study was to investigate the feasibility of applying myoelectric pattern recognition for controlling a robotic hand in individuals with spinal cord injury (SCI).
Humans Female Computer Systems Robotics Hand Electromyography Aged Adult Male Middle Aged Pattern Recognition, Automated Spinal Cord Injuries Exoskeleton Device
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Deep learning can see the unseeable: predicting molecular markers from MRI of brain gliomas.

Clinical radiology Mar 5, 2019
This paper describes state-of-the-art methods for molecular biomarker prediction utilising magnetic resonance imaging. This review paper covers both classical machine learning approaches and deep learning approaches to identifying the predictive feat...
Mutation Radiobiology Genomics Glioma Magnetic Resonance Imaging Humans Biomarkers, Tumor Brain Neoplasms Deep Learning
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