R
Rakesh K. Jain
Researcher at Harvard University
Publications - 1528
Citations - 198912
Rakesh K. Jain is an academic researcher from Harvard University. The author has contributed to research in topics: Angiogenesis & Cancer. The author has an hindex of 200, co-authored 1467 publications receiving 177727 citations. Previous affiliations of Rakesh K. Jain include Government Medical College, Thiruvananthapuram & University of Oslo.
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Journal ArticleDOI
Chemotaxis and biodegradation of 3-methyl- 4-nitrophenol by Ralstonia sp. SJ98.
TL;DR: This is the first report clearly indicating the involvement of a microorganism in the chemotaxis and biodegradation of methyl-4-nitrophenol and formation of catechol as an intermediate in the degradative pathway.
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Mathematical modeling of herpes simplex virus distribution in solid tumors: implications for cancer gene therapy.
TL;DR: Criteria by which the potential response of a tumor to oncolytic herpes simplex virus therapy can be assessed is suggested and the potential of modifications to the vector delivery method, physicochemical properties of the virus, and tumor extracellular matrix composition to enhance efficacy is revealed.
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Estimating the prevalence of dry eye among Indian patients attending a tertiary ophthalmology clinic.
TL;DR: McMonnies' indices (MMI), OSDI and the values recorded in Schirmer's tests were all significantly and positively correlated with the probability of a clinical diagnosis of dry eye (P<0.001 for each).
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Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19.
Sonu Subudhi,Ashish Verma,Ankit B. Patel,C. Corey Hardin,Melin J. Khandekar,Hang Lee,Dustin McEvoy,Triantafyllos Stylianopoulos,Lance L. Munn,Sayon Dutta,Rakesh K. Jain +10 more
TL;DR: In this paper, the authors compared the performance of 18 machine learning algorithms for predicting ICU admission and mortality among COVID-19 patients and showed that ensemble-based models performed better than other model types at predicting both 5-day ICU admissions and 28-day mortality from COVID19.
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Extracellular water measurements: organ tracer kinetics of bromide and sucrose in rats and man.
TL;DR: A pharmacokinetic compartmental model was derived, containing explicit parameters for blood flow, diffusion constants, and ECW spaces separately for each organ, and satisfactory fitting of experimental bromide data was achieved for the rat; satisfactory fitting was also achieved in man from more limited plasma and biopsy data.