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Showing 68281 to 68290 of 95995 articles
Optimal dynamic regimens with artificial intelligence: The case of temozolomide.
PloS one
Jun 26, 2018
We determine an optimal protocol for temozolomide using population variability and dynamic optimization techniques inspired by artificial intelligence. We use a Pharmacokinetics/Pharmacodynamics (PK/PD) model based on Faivre and coauthors (Faivre, et...
Drug Selection via Joint Push and Learning to Rank.
IEEE/ACM transactions on computational biology and bioinformatics
Jun 25, 2018
Selecting the right drugs for the right patients is a primary goal of precision medicine. In this article, we consider the problem of cancer drug selection in a learning-to-rank framework. We have formulated the cancer drug selection problem as to ac...
Multi-Domain Networks Association for Biological Data Using Block Signed Graph Clustering.
IEEE/ACM transactions on computational biology and bioinformatics
Jun 25, 2018
Multi-domain biological network association and clustering have attracted a lot of attention in biological data integration and understanding, which can provide a more global and accurate understanding of biological phenomenon. In many problems, diff...
Weakly Supervised Biomedical Image Segmentation by Reiterative Learning.
IEEE journal of biomedical and health informatics
Jun 25, 2018
Recent advances in deep learning have produced encouraging results for biomedical image segmentation; however, outcomes rely heavily on comprehensive annotation. In this paper, we propose a neural network architecture and a new algorithm, known as ov...
Natural Language Processing for EHR-Based Computational Phenotyping.
IEEE/ACM transactions on computational biology and bioinformatics
Jun 25, 2018
This article reviews recent advances in applying natural language processing (NLP) to Electronic Health Records (EHRs) for computational phenotyping. NLP-based computational phenotyping has numerous applications including diagnosis categorization, no...
Fully automated detection and segmentation of meningiomas using deep learning on routine multiparametric MRI.
European radiology
Jun 25, 2018
OBJECTIVES: Magnetic resonance imaging (MRI) is the method of choice for imaging meningiomas. Volumetric assessment of meningiomas is highly relevant for therapy planning and monitoring. We used a multiparametric deep-learning model (DLM) on routine ...
Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound.
IEEE transactions on medical imaging
Jun 25, 2018
Temporal enhanced ultrasound (TeUS), comprising the analysis of variations in backscattered signals from a tissue over a sequence of ultrasound frames, has been previously proposed as a new paradigm for tissue characterization. In this paper, we prop...
Perturbation Theory/Machine Learning Model of ChEMBL Data for Dopamine Targets: Docking, Synthesis, and Assay of New l-Prolyl-l-leucyl-glycinamide Peptidomimetics.
ACS chemical neuroscience
Jun 25, 2018
Predicting drug-protein interactions (DPIs) for target proteins involved in dopamine pathways is a very important goal in medicinal chemistry. We can tackle this problem using Molecular Docking or Machine Learning (ML) models for one specific protein...
The Big Health Data-Intelligent Machine Paradox.
The American journal of medicine
Jun 25, 2018
A study of time-frequency features for CNN-based automatic heart sound classification for pathology detection.
Computers in biology and medicine
Jun 25, 2018
This study concerns the task of automatic structural heart abnormality risk detection from digital phonocardiogram (PCG) signals aiming at pediatric heart disease screening applications. Recently, various systems based on convolutional neural network...
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