A
Abhishek Singh
Researcher at King George's Medical University
Publications - 159
Citations - 2390
Abhishek Singh is an academic researcher from King George's Medical University. The author has contributed to research in topics: Taenia solium & Neurocysticercosis. The author has an hindex of 23, co-authored 143 publications receiving 2069 citations. Previous affiliations of Abhishek Singh include Indian Institutes of Technology & Indian Institute of Tropical Meteorology.
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Proceedings ArticleDOI
Resource management for isolation enhanced cloud services
TL;DR: Experimental results demonstrate that two resource management approaches are effective in isolating cache interference impacts a VM may have on another VM, and incorporate these approaches in the resource management framework of the example cloud infrastructure, which enables the deployment of VMs with isolation enhanced SLAs.
Journal ArticleDOI
Human cysticercosis and Indian scenario: a review
TL;DR: Literature search was done for this review with special emphasis on Indian studies to create awareness about the disease in India, since cysticercosis is preventable and potentially eradicable.
Journal ArticleDOI
Continuous metal removal from solution and industrial effluents using Spirogyra biomass-packed column reactor.
TL;DR: The granule-packed column could efficiently remove different metals from real industrial effluents, and hence the test biomass (Spirogyra granules) is a good candidate for commercial application.
Journal ArticleDOI
Incidence, risk stratification, antibiogram of pathogens isolated and clinical outcome of ventilator associated pneumonia.
TL;DR: APACHE II score can be used to stratify the risk of development of VAP and overall risk of mortality and drug-resistant strains of various organisms are an important cause of V AP in this setting.
Journal ArticleDOI
Evaluation of the MTT lymphocyte proliferation assay for the diagnosis of neurocysticercosis.
Avantika Verma,Kashi N. Prasad,Abhishek Singh,Kishan K. Nyati,Rakesh K. Gupta,Vimal Kumar Paliwal +5 more
TL;DR: The present study shows that MTT is an adaptable technique which can be used for diagnosis of NCC and its sensitivity, specificity and accuracy are evaluated.