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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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Journal ArticleDOI

The mental health burden of racial and ethnic minorities during the COVID-19 pandemic

TL;DR: Differences in odds of screening positive for depression and anxiety among various racial and ethnic groups during the latter phase of the COVID-19 pandemic will need to be considered as health care systems transition from prioritizing infection control to mitigating long-term consequences.
Proceedings ArticleDOI

Adaptive finite element methods for fluorescence enhanced frequency domain optical tomography: forward imaging problem

TL;DR: Adaptive local mesh refinement increases the accuracy of the solutions of coupled photon diffusion equations in a computationally optimal manner and when implemented in the inverse problem, can impact the resolution of fluorescence enhanced tomography.
Book ChapterDOI

Low-Noise Tunable Band-Pass Filter for ISM 2.4 GHz Bluetooth Transceiver in ±0.7V 32 nm CNFET Technology

TL;DR: This paper presents a CNFET-based low-noise band-pass filter for application in 2.4 GHz Bluetooth transceivers that exploits the ultrawide voltage and current bandwidths of CNFet-based analog building blocks as compared to their CMOS counterparts.
Journal ArticleDOI

Codon usage studies and epitope-based peptide vaccine prediction against Tropheryma whipplei

TL;DR: In this paper , the codon usage data and codon measurement tools were deployed to detect the rare, very rare codons, and also synonymous codons usage in T. whipplei and also in the 23S and 16S ribosomal RNA genes.
Journal ArticleDOI

Leveraging Family History in Population-Based Case-Control Association Studies

TL;DR: Re‐analysis of a total of 115 known susceptibility single‐nucleotide polymorphisms, discovered through genome‐wide association studies for several disease traits, indicates that incorporation of family history information can increase efficiency by as much as 40%.