AIMC Topic: Algorithms

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Using Drug Expression Profiles and Machine Learning Approach for Drug Repurposing.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2019
The cost of new drug development has been increasing, and repurposing known medications for new indications serves as an important way to hasten drug discovery. One promising approach to drug repositioning is to take advantage of machine learning (ML...
Humans Neural Networks, Computer Machine Learning Algorithms Supervised Machine Learning Gene Expression Regulation Databases, Pharmaceutical Genomics Computational Biology Drug Repositioning Workflow Reproducibility of Results Gene Expression Profiling Transcriptome Deep Learning
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A Drug Repurposing Method Based on Drug-Drug Interaction Networks and Using Energy Model Layouts.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2019
Complex network representations of reported drug-drug interactions foster computational strategies that can infer pharmacological functions which, in turn, create incentives for drug repositioning. Here, we use Gephi (a platform for complex network v...
Reproducibility of Results Computational Biology Cluster Analysis Humans Drug Repositioning Neural Networks, Computer Workflow Software Drug Interactions Algorithms Databases, Pharmaceutical
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Deep into Patient care: An automated deep learning approach for reshaping patient care in clinical setting.

Computer methods and programs in biomedicine Jan 1, 2019
Humans Treatment Outcome Models, Statistical Neural Networks, Computer Patient Care Software Leukocytes Algorithms Computer Simulation Reproducibility of Results Programming Languages Medical Informatics Deep Learning Proportional Hazards Models Computer Systems Genome-Wide Association Study
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Expert-Level Diagnosis of Nonpigmented Skin Cancer by Combined Convolutional Neural Networks.

JAMA dermatology Jan 1, 2019
IMPORTANCE: Convolutional neural networks (CNNs) achieve expert-level accuracy in the diagnosis of pigmented melanocytic lesions. However, the most common types of skin cancer are nonpigmented and nonmelanocytic, and are more difficult to diagnose.
Adult Male Middle Aged ROC Curve Follow-Up Studies Diagnosis, Differential Skin Female Skin Neoplasms Dermoscopy Reproducibility of Results Neural Networks, Computer Algorithms Retrospective Studies Humans
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Automated and flexible identification of complex disease: building a model for systemic lupus erythematosus using noisy labeling.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2019
UNLABELLED: Accurate and efficient identification of complex chronic conditions in the electronic health record (EHR) is an important but challenging task that has historically relied on tedious clinician review and oversimplification of the disease....
Lupus Erythematosus, Systemic Machine Learning Algorithms Electronic Health Records ROC Curve Humans
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Application of machine learning algorithms for the differential diagnosis of peroxisomal disorders.

Journal of biochemistry Jan 1, 2019
We have established diagnostic thresholds of very long-chain fatty acids (VLCFA) for the differential diagnosis of peroxisomal disorders using the machine learning tools. The plasma samples of 131 controls and 90 cases were tested for VLCFA using gas...
Humans Machine Learning Algorithms Adult Male Infant Case-Control Studies Phenotype Female Infant, Newborn Young Adult Peroxisomal Disorders Phytanic Acid Adolescent Child, Preschool Child Diagnosis, Differential Fatty Acids Gas Chromatography-Mass Spectrometry Genetic Diseases, X-Linked
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Evaluation of an AI-Based Detection Software for Acute Findings in Abdominal Computed Tomography Scans: Toward an Automated Work List Prioritization of Routine CT Examinations.

Investigative radiology Jan 1, 2019
OBJECTIVE: The aim of this study was to test the diagnostic performance of a deep learning-based triage system for the detection of acute findings in abdominal computed tomography (CT) examinations.
Radiology Information Systems Radiography, Abdominal Humans Artificial Intelligence Algorithms Tomography, X-Ray Computed Sensitivity and Specificity Radiographic Image Interpretation, Computer-Assisted
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Targeting Virus-host Protein Interactions: Feature Extraction and Machine Learning Approaches.

Current drug metabolism Jan 1, 2019
BACKGROUND: Targeting critical viral-host Protein-Protein Interactions (PPIs) has enormous application prospects for therapeutics. Using experimental methods to evaluate all possible virus-host PPIs is labor-intensive and time-consuming. Recent growt...
Algorithms Proteins Host-Pathogen Interactions Viruses Humans Machine Learning Protein Interaction Mapping
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Using Deep Learning Algorithms to Automatically Identify the Brain MRI Contrast: Implications for Managing Large Databases.

Neuroinformatics Jan 1, 2019
Neuroimaging science has seen a recent explosion in dataset size driving the need to develop database management with efficient processing pipelines. Multi-center neuroimaging databases consistently receive magnetic resonance imaging (MRI) data with ...
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Neuroimaging Humans Algorithms Brain
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Morphology-based prediction of cancer cell migration using an artificial neural network and a random decision forest.

Integrative biology : quantitative biosciences from nano to macro Dec 19, 2018
Metastasis is the cause of death in most patients of breast cancer and other solid malignancies. Identification of cancer cells with highly migratory capability to metastasize relies on markers for epithelial-to-mesenchymal transition (EMT), a proces...
Models, Biological Neoplasm Metastasis Lab-On-A-Chip Devices Animals Decision Support Techniques Single-Cell Analysis Neoplasms Female Humans Mice Deep Learning Neural Networks, Computer Reproducibility of Results Cell Movement Cell Line, Tumor Algorithms Breast Neoplasms Epithelial-Mesenchymal Transition
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