Sanjay Jain, MD

Faculty

Titles:

Associate Professor, Pediatrics and International Health

Director, Center for Infection and Inflammation Imaging Research

Email:

sjain5@jhmi.edu

SciVal:

SciVal Link

Dr. Sanjay K Jain received his medical degree in 1999 from the All India Institute of Medical Sciences in New Delhi. He did his Pediatric residency training at the Penn State Children’s Hospital and the Floating Hospital for Children. Dr. Jain was subsequently a fellow in Pediatric Infectious Diseases at the Johns Hopkins University School of Medicine, before joining its faculty in 2005. Dr. Jain is an Associate Professor of Pediatrics and International Health in the School of Medicine and Bloomberg School of Public Health. He is the current director of the Center for Infection and Inflammation Imaging Research and a member of the Center for TB Research at Johns Hopkins University. His primary research interests include the development and utilization of imaging technologies to study TB pathogenesis and as tools for monitoring infections. He also studies the pathogenesis of CNS TB and utilization of new diagnostics for childhood TB. Dr. Jain is the recipient of the NIH Director’s New Innovator (2009) and more recently the NIH Director’s Transformative Awards (2014). He is also the Director for the Pediatric Infectious Diseases fellowship program at Johns Hopkins.

Categories

Events

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Projects

Quantitative assessment of the tipping point...

Quantitative methods will be used to study Mtb dynamics to determine the tipping point for macrophage infection, which depends...

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Modeling the impact of spatially targeted TB...

 We have developed transmission models to understand the impact of TB vaccination strategies that target hotspots of...

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Statins as adjunctive host-directed therapy...

This study will investigate the role of statins in combination with the first-line regimen for TB in the mouse model. In...

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Understanding the role of repeat testing and...

We have developed a Markov model of serial IGRA testing to help improve testing algorithms with TST vs. IGRA in low-risk...

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