AIMC Topic: Reproducibility of Results

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A Transfer Learning Approach for Malignant Prostate Lesion Detection on Multiparametric MRI.

Technology in cancer research & treatment Jan 1, 2019
PURPOSE: In prostate focal therapy, it is important to accurately localize malignant lesions in order to increase biological effect of the tumor region while achieving a reduction in dose to noncancerous tissue. In this work, we proposed a transfer l...
Reproducibility of Results Prostatic Neoplasms Male Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Humans Deep Learning Magnetic Resonance Imaging Neural Networks, Computer Area Under Curve ROC Curve Algorithms
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Personalized Pancreatic Cancer Management: A Systematic Review of How Machine Learning Is Supporting Decision-making.

Pancreas Jan 1, 2019
This review critically analyzes how machine learning is being used to support clinical decision-making in the management of potentially resectable pancreatic cancer. Following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses...
Humans Machine Learning Decision Support Techniques Precision Medicine Reproducibility of Results Decision Making Pancreatic Neoplasms Bayes Theorem Markov Chains
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Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2019
The increasing amount of scientific literature in biological and biomedical science research has created a challenge in continuous and reliable curation of the latest knowledge discovered, and automatic biomedical text-mining has been one of the answ...
Genetic Association Studies Computational Biology Databases, Genetic Humans PubMed Algorithms Decision Support Techniques Reproducibility of Results Deep Learning Knowledge Bases Data Mining Markov Chains Unified Medical Language System
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Artificial Intelligence and Black-Box Medical Decisions: Accuracy versus Explainability.

The Hastings Center report Jan 1, 2019
Although decision-making algorithms are not new to medicine, the availability of vast stores of medical data, gains in computing power, and breakthroughs in machine learning are accelerating the pace of their development, expanding the range of quest...
Humans Artificial Intelligence Algorithms Clinical Decision-Making Reproducibility of Results Deep Learning Social Responsibility Knowledge Uncertainty
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Machine learning in multiexposure laser speckle contrast imaging can replace conventional laser Doppler flowmetry.

Journal of biomedical optics Jan 1, 2019
Laser speckle contrast imaging (LSCI) enables video rate imaging of blood flow. However, its relation to tissue blood perfusion is nonlinear and depends strongly on exposure time. By contrast, the perfusion estimate from the slower laser Doppler flow...
Machine Learning Computer Simulation Reproducibility of Results Adult Male Image Processing, Computer-Assisted Models, Statistical Regional Blood Flow Humans Neural Networks, Computer Calibration Perfusion Monte Carlo Method Stochastic Processes Erythrocytes Blood Flow Velocity Microcirculation Lasers Laser-Doppler Flowmetry
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Machine Learning Approach for Predicting New Uses of Existing Drugs and Evaluation of Their Reliabilities.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2019
In this chapter, a new method to evaluate the reliability of predicting new uses of existing drugs was proposed. The prediction was performed with a support vector machine (SVM) using various data. Because the reliability of prediction could not be e...
Humans Machine Learning Algorithms Drug Repositioning Reproducibility of Results Structure-Activity Relationship Computational Biology Support Vector Machine
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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...
Supervised Machine Learning Gene Expression Regulation Databases, Pharmaceutical Gene Expression Profiling Transcriptome Deep Learning Genomics Computational Biology Drug Repositioning Workflow Neural Networks, Computer Machine Learning Algorithms Reproducibility of Results Humans
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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...
Humans Neural Networks, Computer Software Algorithms Workflow Drug Interactions Databases, Pharmaceutical Reproducibility of Results Computational Biology Cluster Analysis Drug Repositioning
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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 Genome-Wide Association Study Treatment Outcome Models, Statistical Patient Care Computer Simulation Leukocytes Neural Networks, Computer Reproducibility of Results Programming Languages Software Deep Learning Medical Informatics Algorithms Computer Systems Proportional Hazards Models
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Missing the Difference Between Big Data and Artificial Intelligence in RASAR Versus Traditional QSAR.

Toxicological sciences : an official journal of the Society of Toxicology Jan 1, 2019
Animals Big Data Quantitative Structure-Activity Relationship Artificial Intelligence Machine Learning Reproducibility of Results
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