S
Sheela V Shenoi
Researcher at Yale University
Publications - 69
Citations - 1030
Sheela V Shenoi is an academic researcher from Yale University. The author has contributed to research in topics: Tuberculosis & Medicine. The author has an hindex of 17, co-authored 56 publications receiving 761 citations. Previous affiliations of Sheela V Shenoi include Smith College.
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Journal ArticleDOI
Diagnostics for pulmonary tuberculosis
TL;DR: This work aims to review the performance of both established as well as new diagnostics for pulmonary TB in adults, and discuss the ongoing challenges in the diagnosis of TB.
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Extensively Drug-Resistant Tuberculosis: A New Face to an Old Pathogen
Sheela V Shenoi,Gerald Friedland +1 more
TL;DR: The current global status of drug-resistant tuberculosis is described and the development of resistance, current management, and strategies for control are discussed.
Journal ArticleDOI
Differences in both inositol 1,4,5-trisphosphate mass and inositol 1,4,5-trisphosphate receptors between normal and dystrophic skeletal muscle cell lines
José Luis Liberona,Jeanne A. Powell,Sheela V Shenoi,Lee Petherbridge,Raúl Caviedes,Enrique Jaimovich,Enrique Jaimovich +6 more
TL;DR: High basal levels of IP3 mass and a possible role for this system in the deficiency of intracellular calcium regulation in Duchenne muscular dystrophy are suggested.
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Multidrug-resistant and extensively drug-resistant tuberculosis: consequences for the global HIV community.
TL;DR: Multidrug-resistant and extensively drug-resistant TB disproportionately affect HIV patients and result in increased morbidity and mortality.
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Transmission of Drug-Susceptible and Drug-Resistant Tuberculosis and the Critical Importance of Airborne Infection Control in the Era of HIV Infection and Highly Active Antiretroviral Therapy Rollouts
TL;DR: Airborne infection-control strategies are available and have been shown to be associated with decreases in nosocomial transmission of TB; their efficacy has not been fully demonstrated, and their implementation is extremely limited, particularly in resource-limited settings.