AIMC Topic: Deep Learning

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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...
Machine Learning Algorithms Reproducibility of Results Deep Learning Genomics Gene Expression Profiling Supervised Machine Learning Transcriptome Gene Expression Regulation Humans Databases, Pharmaceutical Computational Biology Neural Networks, Computer Drug Repositioning Workflow
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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
Programming Languages Medical Informatics Proportional Hazards Models Models, Statistical Patient Care Leukocytes Computer Systems Genome-Wide Association Study Treatment Outcome Humans Reproducibility of Results Algorithms Neural Networks, Computer Deep Learning Computer Simulation Software
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Expert knowledge-infused deep learning for automatic lung nodule detection.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: Computer aided detection (CADe) of pulmonary nodules from computed tomography (CT) is crucial for early diagnosis of lung cancer. Self-learned features obtained by training datasets via deep learning have facilitated CADe of the nodules. ...
Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Knowledge Bases Deep Learning Lung Neoplasms Multiple Pulmonary Nodules Tomography, X-Ray Computed Sensitivity and Specificity Humans Neural Networks, Computer
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Personal Computer-Based Cephalometric Landmark Detection With Deep Learning, Using Cephalograms on the Internet.

The Journal of craniofacial surgery Jan 1, 2019
BACKGROUND: Cephalometric analysis has long been, and still is one of the most important tools in evaluating craniomaxillofacial skeletal profile. To perform this, manual tracing of x-ray film and plotting landmarks have been required. This procedure...
Image Processing, Computer-Assisted Radiography Anatomic Landmarks Cephalometry Humans Reproducibility of Results Deep Learning Internet Microcomputers
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Virtual Screening Meets Deep Learning.

Current computer-aided drug design Jan 1, 2019
BACKGROUND: Automated compound testing is currently the de facto standard method for drug screening, but it has not brought the great increase in the number of new drugs that was expected. Computer- aided compounds search, known as Virtual Screening,...
Drug Evaluation, Preclinical Drug Discovery Deep Learning Structure-Activity Relationship Computer Simulation
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Deep Learning in Diagnosis of Maxillary Sinusitis Using Conventional Radiography.

Investigative radiology Jan 1, 2019
OBJECTIVES: The aim of this study was to compare the diagnostic performance of a deep learning algorithm with that of radiologists in diagnosing maxillary sinusitis on Waters' view radiographs.
Radiography Maxillary Sinus Maxillary Sinusitis Deep Learning ROC Curve Area Under Curve Humans Tomography, X-Ray Computed Male Middle Aged Female Sensitivity and Specificity
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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...
Female Lab-On-A-Chip Devices Reproducibility of Results Breast Neoplasms Epithelial-Mesenchymal Transition Cell Line, Tumor Humans Neural Networks, Computer Animals Models, Biological Single-Cell Analysis Algorithms Neoplasm Metastasis Neoplasms Decision Support Techniques Deep Learning Mice Cell Movement
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Chess, a of reasoning.

Science (New York, N.Y.) Dec 7, 2018
Problem Solving Humans Animals Drosophila Deep Learning
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Deep learning-Using machine learning to study biological vision.

Journal of vision Dec 3, 2018
Many vision science studies employ machine learning, especially the version called "deep learning." Neuroscientists use machine learning to decode neural responses. Perception scientists try to understand how living organisms recognize objects. To th...
Neural Networks, Computer Algorithms Humans Brain Deep Learning Vision, Ocular
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