A
Amit Joshi
Researcher at Harvard University
Publications - 497
Citations - 18902
Amit Joshi is an academic researcher from Harvard University. The author has contributed to research in topics: Medicine & Cancer. The author has an hindex of 57, co-authored 390 publications receiving 12207 citations. Previous affiliations of Amit Joshi include VA Boston Healthcare System & Stanford University.
Papers
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Proceedings ArticleDOI
Secure-iGLU: A Secure Device for Noninvasive Glucose Measurement and Automatic Insulin Delivery in IoMT Framework
TL;DR: The paper presents a Hardware-Assisted Security (HAS) paradigm using Physical Unclonable Function (PUF) to design Secure-iGLU, a secure system with a non-invasive glucose monitoring device integrated with an insulin delivery system (called iGLU) as a specific example.
Journal ArticleDOI
Methods for Detecting Host Genetic Modifiers of Tumor Vascular Function Using Dynamic Near-Infrared Fluorescence Imaging
Jaidip Jagtap,Gayatri Sharma,Abdul K. Parchur,Venkateswara Rao Gogineni,Carmen Bergom,Sarah B. White,Michael J. Flister,Amit Joshi +7 more
TL;DR: This research presents a novel probabilistic procedure called “spot-spot analysis” that allows for real-time analysis of the response of the immune system to foreign substance abuse.
Proceedings ArticleDOI
iGLU 1.1: Towards a Glucose-Insulin Model based Closed Loop IoMT Framework for Automatic Insulin Control of Diabetic Patients
TL;DR: The results represent that the proposed mathematical model may be useful to predict the glycaemic status of diabetic patients and personalise it as per their historical data.
Proceedings ArticleDOI
An IoMT Based Non-Invasive Precise Blood Glucose Measurement System
TL;DR: The paper represents IoMT based non-invasive precise blood glucose measurement system based on optical detection along with optimized regression model along with optimizing computation method to obtain the blood glucose concentration values from each sample.
Posted ContentDOI
Association of social distancing and masking with risk of COVID-19
Sohee Kwon,Amit Joshi,Chun-Han Lo,David A. Drew,Long H. Nguyen,Chuan-Guo Guo,Chuan-Guo Guo,Wenjie Ma,Raaj S. Mehta,Erica T. Warner,Christina M Astley,Christina M Astley,Jordi Merino,Jordi Merino,Benjamin J. Murray,Jonathan Wolf,Sebastian Ourselin,Claire J. Steves,Tim D. Spector,Jaime E. Hart,Mingyang Song,Trang VoPham,Trang VoPham,Andrew T. Chan +23 more
TL;DR: Findings provide support for the efficacy of mask-wearing even in settings of poor social distancing in reducing COVID-19 transmission and suggest that universal masking may be particularly important in mitigating risk of infection.