AIMC Topic: Reproducibility of Results

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Low-Cost Robotic Assessment of Visuo-Motor Deficits in Alzheimer's Disease.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 26, 2017
A low-cost robotic interface was used to assess the visuo-motor performance of patients with Alzheimer's disease (AD). Twenty AD patients and twenty age-matched controls participated in this work. The battery of tests included simple reaction times, ...
Italy Humans Equipment Failure Analysis Reaction Time Motor Skills Disorders Alzheimer Disease Sensitivity and Specificity Diagnostic Techniques, Neurological Female Cost-Benefit Analysis Male Psychomotor Performance Reproducibility of Results Middle Aged Aged Robotics Aged, 80 and over Equipment Design
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Predicting Zoonotic Risk of Influenza A Viruses from Host Tropism Protein Signature Using Random Forest.

International journal of molecular sciences May 25, 2017
Influenza A viruses remain a significant health problem, especially when a novel subtype emerges from the avian population to cause severe outbreaks in humans. Zoonotic viruses arise from the animal population as a result of mutations and reassortmen...
Disease Outbreaks Influenza in Birds Birds Influenza A virus Models, Theoretical Machine Learning Retrospective Studies Reproducibility of Results Animals Humans Orthomyxoviridae Infections Zoonoses Viral Tropism Host Specificity Databases, Genetic Area Under Curve Influenza, Human Host-Pathogen Interactions Viral Proteins
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Classification of Paediatric Inflammatory Bowel Disease using Machine Learning.

Scientific reports May 25, 2017
Paediatric inflammatory bowel disease (PIBD), comprising Crohn's disease (CD), ulcerative colitis (UC) and inflammatory bowel disease unclassified (IBDU) is a complex and multifactorial condition with increasing incidence. An accurate diagnosis of PI...
Unsupervised Machine Learning Supervised Machine Learning Machine Learning ROC Curve Inflammatory Bowel Diseases Male Models, Theoretical Humans Female Age Factors Infant Infant, Newborn Cluster Analysis Adolescent Reproducibility of Results Child, Preschool Child
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and cell-based analyses reveal strong divergence between prediction and observation of T-cell-recognized tumor antigen T-cell epitopes.

The Journal of biological chemistry May 23, 2017
Tumor exomes provide comprehensive information on mutated, overexpressed genes and aberrant splicing, which can be exploited for personalized cancer immunotherapy. Of particular interest are mutated tumor antigen T-cell epitopes, because neoepitope-s...
Expert Systems Oligopeptides Immunogenicity, Vaccine Mice, Transgenic Models, Immunological Peptide Fragments Epitopes HLA-A2 Antigen Protein Stability Protein Refolding T-Lymphocytes, Cytotoxic Melanoma Reproducibility of Results Animals Computational Biology Cancer Vaccines Antigens, Neoplasm Vaccines, Synthetic Membrane Proteins Neoplasm Proteins Mice, Knockout Humans Artificial Intelligence Cells, Cultured
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An automated ranking platform for machine learning regression models for meat spoilage prediction using multi-spectral imaging and metabolic profiling.

Food research international (Ottawa, Ont.) May 20, 2017
Over the past decade, analytical approaches based on vibrational spectroscopy, hyperspectral/multispectral imagining and biomimetic sensors started gaining popularity as rapid and efficient methods for assessing food quality, safety and authenticatio...
Chromatography, High Pressure Liquid Data Mining Gas Chromatography-Mass Spectrometry Automation Pattern Recognition, Automated Food Preservation Red Meat Metabolomics Optical Imaging Machine Learning Models, Statistical Electronic Nose Reproducibility of Results Food Microbiology Bacteria Principal Component Analysis Spectroscopy, Fourier Transform Infrared Least-Squares Analysis
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NFPscanner: a webtool for knowledge-based deciphering of biomedical networks.

BMC bioinformatics May 18, 2017
BACKGROUND: Many biological pathways have been created to represent different types of knowledge, such as genetic interactions, metabolic reactions, and gene-regulating and physical-binding relationships. Biologists are using a wide range of omics da...
Gene Regulatory Networks Cluster Analysis Internet Knowledge Bases Sequence Alignment Software Algorithms Reproducibility of Results
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Automatic Segmentation of Kidneys using Deep Learning for Total Kidney Volume Quantification in Autosomal Dominant Polycystic Kidney Disease.

Scientific reports May 17, 2017
Autosomal Dominant Polycystic Kidney Disease (ADPKD) is the most common inherited disorder of the kidneys. It is characterized by enlargement of the kidneys caused by progressive development of renal cysts, and thus assessment of total kidney volume ...
Humans Tomography, X-Ray Computed Female Reproducibility of Results Aged Kidney Adult Glomerular Filtration Rate Male Organ Size Middle Aged Polycystic Kidney, Autosomal Dominant Deep Learning Image Processing, Computer-Assisted
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Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning.

Medical image analysis May 13, 2017
Graph-based transductive learning (GTL) is a powerful machine learning technique that is used when sufficient training data is not available. In particular, conventional GTL approaches first construct a fixed inter-subject relation graph that is base...
Humans Machine Learning Disease Progression Parkinson Disease Female Supervised Machine Learning Reproducibility of Results Alzheimer Disease Aged Sensitivity and Specificity Male
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Precision Radiology: Predicting longevity using feature engineering and deep learning methods in a radiomics framework.

Scientific reports May 10, 2017
Precision medicine approaches rely on obtaining precise knowledge of the true state of health of an individual patient, which results from a combination of their genetic risks and environmental exposures. This approach is currently limited by the lac...
Phenotype Precision Medicine Tomography, X-Ray Computed Reproducibility of Results Risk Factors Humans Radiology Task Performance and Analysis Kaplan-Meier Estimate Mortality Longevity Deep Learning ROC Curve Image Processing, Computer-Assisted Area Under Curve Diagnostic Imaging
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A structured latent model for ovarian carcinoma subtyping from histopathology slides.

Medical image analysis May 9, 2017
Accurate subtyping of ovarian carcinomas is an increasingly critical and often challenging diagnostic process. This work focuses on the development of an automatic classification model for ovarian carcinoma subtyping. Specifically, we present a novel...
Sensitivity and Specificity Humans Algorithms Female Reproducibility of Results Support Vector Machine Ovarian Neoplasms Pattern Recognition, Automated Histological Techniques
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