AIMC Topic: Humans

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Albumin binding, anticancer and antibacterial properties of synthesized zero valent iron nanoparticles.

International journal of nanomedicine Dec 28, 2018
BACKGROUND: Nanoparticles (NPs) have been emerging as potential players in modern medicine with clinical applications ranging from therapeutic purposes to antimicrobial agents. However, before applications in medical agents, some in vitro studies sho...
Antineoplastic Agents Bacteria Humans Cell Proliferation Neuroblastoma Anti-Bacterial Agents Escherichia coli Serum Albumin, Human Molecular Docking Simulation Staphylococcus aureus Tumor Cells, Cultured Metal Nanoparticles Iron Pseudomonas aeruginosa Protein Conformation
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Direct Feature Evaluation in Black-Box Optimization Using Problem Transformations.

Evolutionary computation Dec 28, 2018
Exploratory Landscape Analysis provides sample-based methods to calculate features of black-box optimization problems in a quantitative and measurable way. Many problem features have been proposed in the literature in an attempt to provide insights i...
Algorithms Decision Support Techniques Computational Biology Sample Size Benchmarking Problem Solving Humans Machine Learning
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What's holding up the big data revolution in healthcare?

BMJ (Clinical research ed.) Dec 28, 2018
Data Accuracy Machine Learning Biomedical Research Big Data Humans
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Using natural language processing and machine learning to identify breast cancer local recurrence.

BMC bioinformatics Dec 28, 2018
BACKGROUND: Identifying local recurrences in breast cancer from patient data sets is important for clinical research and practice. Developing a model using natural language processing and machine learning to identify local recurrences in breast cance...
Female Reproducibility of Results Breast Neoplasms Humans Machine Learning Electronic Health Records Neoplasm Recurrence, Local Unified Medical Language System Cohort Studies Support Vector Machine Natural Language Processing
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Predicting adverse drug reactions through interpretable deep learning framework.

BMC bioinformatics Dec 28, 2018
BACKGROUND: Adverse drug reactions (ADRs) are unintended and harmful reactions caused by normal uses of drugs. Predicting and preventing ADRs in the early stage of the drug development pipeline can help to enhance drug safety and reduce financial cos...
Humans Deep Learning Back Pain Models, Theoretical Necrosis Area Under Curve Drug-Related Side Effects and Adverse Reactions
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iMEGES: integrated mental-disorder GEnome score by deep neural network for prioritizing the susceptibility genes for mental disorders in personal genomes.

BMC bioinformatics Dec 28, 2018
BACKGROUND: A range of rare and common genetic variants have been discovered to be potentially associated with mental diseases, but many more have not been uncovered. Powerful integrative methods are needed to systematically prioritize both variants ...
Databases, Genetic Area Under Curve Genome, Human Neural Networks, Computer Software Mental Disorders Humans Deep Learning Genetic Predisposition to Disease Polymorphism, Single Nucleotide
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Human/robotic interaction: vision limits performance in simulated vitreoretinal surgery.

Acta ophthalmologica Dec 27, 2018
PURPOSE: Compare accuracy and precision in XYZ of stationary and dynamic tasks performed by surgeons with and without the use of a tele-operated robotic micromanipulator in a simulated vitreoretinal environment. The tasks were performed using a surgi...
Humans Reproducibility of Results Clinical Competence Video Recording Education, Medical, Graduate Retinal Diseases Vitreoretinal Surgery Robotics Ophthalmology Telemedicine
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Reliable Label-Efficient Learning for Biomedical Image Recognition.

IEEE transactions on bio-medical engineering Dec 27, 2018
The use of deep neural networks for biomedical image analysis requires a sufficient number of labeled datasets. To acquire accurate labels as the gold standard, multiple observers with specific expertise are required for both annotation and proofread...
Humans Reproducibility of Results Intestinal Polyps Deep Learning Endoscopy, Gastrointestinal Image Interpretation, Computer-Assisted
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Employing AgNPs doped amidoxime-modified polyacrylonitrile (PAN-oxime) nanofibers for target induced strand displacement-based electrochemical aptasensing of CA125 in ovarian cancer patients.

Materials science & engineering. C, Materials for biological applications Dec 27, 2018
In this study, a high-performance biosensing nanoplatform based on amidoxime-modified polyacrylonitrile nanofibers decorated with Ag nanoparticles (AgNPs-PAN-oxime NFs) is described. The AgNPs-PAN-oxime NFs were prepared by the combination of electro...
Electrochemical Techniques CA-125 Antigen Nanofibers Metal Nanoparticles Aptamers, Nucleotide Humans Silver Limit of Detection Oximes Biosensing Techniques Acrylic Resins Female Ovarian Neoplasms Electrodes Reproducibility of Results
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Development and Validation of a Machine Learning Algorithm After Primary Total Hip Arthroplasty: Applications to Length of Stay and Payment Models.

The Journal of arthroplasty Dec 27, 2018
BACKGROUND: Value-based payment programs in orthopedics, specifically primary total hip arthroplasty (THA), present opportunities to apply forecasting machine learning techniques to adjust payment models to a specific patient or population. The objec...
Bayes Theorem Humans Health Expenditures Machine Learning Arthroplasty, Replacement, Hip Algorithms Databases, Factual Length of Stay Inpatients Reproducibility of Results ROC Curve Elective Surgical Procedures Comorbidity
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