Rukmini Kumar
University of Pittsburgh
16 Papers
13 Citations
Rukmini Kumar is an academic researcher from University of Pittsburgh. The author has contributed to research in topics: Medicine & Inflammation. The author has an hindex of 6, co-authored 14 publications.
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Papers
The dynamics of acute inflammation.
TL;DR: In this paper, a three-dimensional ordinary differential equation model of inflammation consisting of a pathogen, and two inflammatory mediators is proposed to reproduce the healthy outcome and diverse negative outcomes, depending on initial conditions and parameters.
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The acute inflammatory response in diverse shock states.
Carson C. Chow,Gilles Clermont,Rukmini Kumar,Claudio Lagoa,Zacharia Tawadrous,David J. Gallo,Binnie Betten,John Bartels,Gregory M. Constantine,Mitchell P. Fink,Timothy R. Billiar,Yoram Vodovotz +11 more
TL;DR: A mathematical model incorporating major elements of the acute inflammatory response in C57Bl/6 mice was developed and found that a single model with different initiators including the autonomic system could describe the response to various insults.
In silico design of clinical trials: a method coming of age.
TL;DR: The construction of an in silico clinical trial could provide profound insight into the design of clinical trials of immunomodulatory therapies, ranging from optimal patient selection to individualized dosage and duration of proposed therapeutic interventions.
Comparison of clinical manifestations and outcome of community-acquired bloodstream infections among the oldest old, elderly, and adult patients.
TL;DR: It is shown that antibiotics only improve survival if administered early in the course of anthrax infection, and vaccination that leads to the formation of antibodies to protective antigen is anti-inflammatory and beneficial in averting shock and improving survival.
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In vitro to in vivo extrapolation and species response comparisons for drug-induced liver injury (DILI) using DILIsym™: a mechanistic, mathematical model of DILI
Brett A. Howell,Yuching Yang,Rukmini Kumar,Jeffrey L. Woodhead,Alison H. Harrill,Harvey J. Clewell,Melvin E. Andersen,Scott Q. Siler,Paul B. Watkins +8 more
TL;DR: This study demonstrates that mechanistic, mathematical modeling offers a method for interpreting and extrapolating results of drug-induced liver injury and illustrated how modeling can aid in selecting the most appropriate pre-clinical species for safety testing results relevant to humans.
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