Journal ArticleDOI
Effective prediction of drug – Target interaction on HIV using deep graph neural networks
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TLDR
In this article , a geometric deep learning (GDL) approach is proposed to predict drug resistance to HIV, and virus-drug interaction, and the obtained results show that the proposed GDL method outperforms existing methods in predicting drug resistance in HIV with 93.3% accuracy.About:
This article is published in Chemometrics and Intelligent Laboratory Systems.The article was published on 2022-09-01. It has received 3 citations till now. The article focuses on the topics: Artificial neural network & Computer science.read more
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A key review on graph data science: The power of graphs in scientific studies
TL;DR: A comprehensive review of graph theory, various graph types, and the role of graph visualization in scientific studies is provided in this paper , highlighting the importance of graphs as a visual representation in scientific research, enabling a better understanding of complex data.
Journal ArticleDOI
Development of a CapsNet and Fuzzy Logic Decision Support System for Diagnosing the Scoliosis and Planning Treatments via Schroth Method
Sena Goral,Utku Kose +1 more
TL;DR: In this article , a Deep Learning-based decision support system was developed to diagnose scoliosis and plan treatments via Schroth method using an interpretable and explainable CapsNet model processing x-ray image to detect 68 point vertebrae and make Cobb angle measurements.
Journal ArticleDOI
Development of a CapsNet and Fuzzy Logic Decision Support System for Diagnosing the Scoliosis and Planning Treatments via Schroth Method
TL;DR: In this paper , a deep learning-based decision support system for scoliosis diagnosis and treatment is presented. But, the system is not suitable for the case of patients with high mobility.
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Posted Content
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho,Bart van Merriënboer,Dzmitry Bahdanau,Yoshua Bengio,Yoshua Bengio,Yoshua Bengio +5 more
TL;DR: It is shown that the neural machine translation performs relatively well on short sentences without unknown words, but its performance degrades rapidly as the length of the sentence and the number of unknown words increase.
Proceedings ArticleDOI
Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs
Federico Monti,Davide Boscaini,Jonathan Masci,Emanuele Rodolà,Jan Svoboda,Michael M. Bronstein +5 more
TL;DR: In this article, a unified framework allowing to generalize CNN architectures to non-Euclidean domains (graphs and manifolds) and learn local, stationary, and compositional task-specific features is proposed.
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HIV infection, antiretroviral treatment, ageing, and non-AIDS related morbidity.
TL;DR: This review discusses the evidence that the major complications of “treated” HIV disease—including cardiovascular disease, malignancy, renal disease, …
Journal ArticleDOI
Web resources for HIV type 1 genotypic-resistance test interpretation.
Tommy F. Liu,Robert W. Shafer +1 more
TL;DR: In this article, the authors describe the scientific principles of HIV-1 genotypic-drug-resistance test interpretation and the most commonly used Web-based resources for clinicians ordering GENotypic drug-resistant tests.
Journal ArticleDOI
Workshop on HIV Infection and Aging: What Is Known and Future Research Directions
Rita B. Effros,Courtney V. Fletcher,Kelly A. Gebo,Jeffrey B. Halter,William R. Hazzard,Frances Mc Farland Horne,Robin Huebner,Edward N. Janoff,Amy C. Justice,Daniel R. Kuritzkes,Susan G. Nayfield,Susan Plaeger,Kenneth E. Schmader,John R. Ashworth,Christine Campanelli,Charles P. Clayton,Beth Rada,Nancy Woolard,Kevin P. High +18 more
TL;DR: Researchers in infectious diseases, geriatrics, immunology, and gerontology met to review what is known about HIV infection and aging, to identify research gaps, and to suggest high priority topics for future research.