The dynamics of acute inflammation R Kumar, G Clermont, Y Vodovotz, CC Chow Journal of Theoretical Biology 230 (2), 145-155, 2004 | 421 | 2004 |
The acute inflammatory response in diverse shock states CC Chow, G Clermont, R Kumar, C Lagoa, Z Tawadrous, D Gallo, ... Shock 24 (1), 74-84, 2005 | 220 | 2005 |
In silico design of clinical trials: a method coming of age G Clermont, J Bartels, R Kumar, G Constantine, Y Vodovotz, C Chow Critical care medicine 32 (10), 2061-2070, 2004 | 207 | 2004 |
In silico models of acute inflammation in animals Y Vodovotz, CC Chow, J Bartels, C Lagoa, JM Prince, RM Levy, R Kumar, ... Shock 26 (3), 235-244, 2006 | 131 | 2006 |
In vitro to in vivo extrapolation and species response comparisons for drug-induced liver injury (DILI) using DILIsym™: a mechanistic, mathematical model of DILI BA Howell, Y Yang, R Kumar, JL Woodhead, AH Harrill, HJ Clewell, ... Journal of pharmacokinetics and pharmacodynamics 39, 527-541, 2012 | 106 | 2012 |
A mathematical simulation of the inflammatory response to anthrax infection R Kumar, CC Chow, JD Bartels, G Clermont, Y Vodovotz Shock (Augusta, Ga.) 29 (1), 104, 2008 | 79 | 2008 |
Beyond the single average tumor: Understanding IO combinations using a clinical QSP model that incorporates heterogeneity in patient response R Kumar, K Thiagarajan, L Jagannathan, L Liu, K Mayawala, D de Alwis, ... CPT: pharmacometrics & systems pharmacology 10 (7), 684-695, 2021 | 18 | 2021 |
Mathematical simulation of the innate immune response G Clermont, CC Chow, R Kumar, Y Vodovotz CRITICAL CARE MEDICINE 29 (12), A111-A111, 2001 | 8 | 2001 |
Mathematical simulations of sepsis and trauma Y Vodovotz, C Chow, J Bartels, C Lagoa, R Kumar, J Day, J Rubin, ... Proceedings of the 11th Congress of the European Shock Society, 2005 | 6 | 2005 |
Incorporating lesion-to-lesion heterogeneity into early oncology decision making R Kumar, T Qi, Y Cao, B Topp Frontiers in Immunology 14, 1173546, 2023 | 5 | 2023 |
A systems pharmacology model to characterize the effect of blinatumomab in patients with adult B precursor acute lymphoblastic leukemia I Singh, T Yuraszeck, M Klinger, M Reed, C Friedrich, R Kumar, S Pagano, ... Poster presented at the ASCPT annual meeting, Atlanta, GA (March 2014), 2014 | 5 | 2014 |
Mathematical models predict the course of the inflammatory response in rats subjected to trauma-hemorrhagic shock and to anti–tumor necrosis factor α therapy in endotoxemia CE Lagoa, C Chow, J Bartels, A Barrat, R Kumar, J Day, J Rubin, ... Journal of Critical Care 4 (20), 393-394, 2005 | 4 | 2005 |
Can a propensity score matching method be applied to assessing efficacy from single‐arm proof‐of‐concept trials in oncology? SW Teng, YC Su, R Pallantla, M Channavazzala, R Kumar, Y Sheng, ... CPT: Pharmacometrics & Systems Pharmacology 12 (9), 1347-1357, 2023 | 3 | 2023 |
Prediction of the acute inflammatory response from a mathematical model CE Lagoa, G Clermont, R Kumar, J Bartels, CC Chow, Y Vodovotz CHEST Journal 124 (4_MeetingAbstracts), 121S-a-121S, 2003 | 3 | 2003 |
A theoretical model for the simulation of sepsis R Kumar, CC Chow, G Clermont, Y Vodovotz JOURNAL OF LEUKOCYTE BIOLOGY, 90-90, 2001 | 3 | 2001 |
Use of a large biological model with single-dose clinical data to predict hemoglobin (Hb) response in patients with anemia K Moore, R Kumar, J Zhang, V Hurez, S Kellermann, C Erickson-Miller, ... American Conference on Pharmacometrics, 3-6.2011, 2011 | 2 | 2011 |
Inter-tumoral heterogeneity of progressive disease in melanoma patients treated with pembrolizumab. B Topp, R Kumar, K Mayawala, D de Alwis, MD Hellmann, A Snyder CANCER RESEARCH 80 (21), 2020 | 1 | 2020 |
Development of a quantitative systems pharmacology model for prediction of mineralcorticoid receptor antagonists-induced hyperkalemia T Nakada, M Rengaswamy, K Dasika, R Kumar, R Saito ACE 2, 8W, 2017 | 1 | 2017 |
Leveraging a Quantitative Systems Pharmacology Model to Explore the Mechanism of Action of a Novel Basal Insulin Analog P Garhyan, R Kumar, J Geiser JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS 43, S74-S74, 2016 | 1 | 2016 |
Designing Optimal Basal Insulin Analogs Using a Quantitative Systems Pharmacology Model R Kumar, J Geiser, J Leohr, D Leishman, B Topp JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS 41, S20-S20, 2014 | 1* | 2014 |