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For: Voutouri C, Nikmaneshi MR, Hardin CC, Patel AB, Verma A, Khandekar MJ, Dutta S, Stylianopoulos T, Munn LL, Jain RK. In silico dynamics of COVID-19 phenotypes for optimizing clinical management. Proc Natl Acad Sci U S A 2021;118:e2021642118. [PMID: 33402434 DOI: 10.1073/pnas.2021642118] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Choudhary S, Kanevsky I, Tomlinson L. Animal models for studying covid-19, prevention, and therapy: Pathology and disease phenotypes. Vet Pathol 2022;:3009858221092015. [PMID: 35451341 DOI: 10.1177/03009858221092015] [Reference Citation Analysis]
2 Vavougios GD, Stavrou VT, Konstantatos C, Sinigalias PC, Zarogiannis SG, Kolomvatsos K, Stamoulis G, Gourgoulianis KI. COVID-19 Phenotypes and Comorbidity: A Data-Driven, Pattern Recognition Approach Using National Representative Data from the United States. Int J Environ Res Public Health 2022;19:4630. [PMID: 35457497 DOI: 10.3390/ijerph19084630] [Reference Citation Analysis]
3 Middleton S, Dimbath E, Pant A, George S, Maddipati V, Peach MS, Yang K, Ju AW, Vahdati A. Towards a multi-scale computer modeling workflow for simulation of pulmonary ventilation in advanced COVID-19. Computers in Biology and Medicine 2022. [DOI: 10.1016/j.compbiomed.2022.105513] [Reference Citation Analysis]
4 Challenger JD, Foo CY, Wu Y, Yan AWC, Marjaneh MM, Liew F, Thwaites RS, Okell LC, Cunnington AJ. Modelling upper respiratory viral load dynamics of SARS-CoV-2. BMC Med 2022;20:25. [PMID: 35022051 DOI: 10.1186/s12916-021-02220-0] [Cited by in Crossref: 9] [Cited by in F6Publishing: 2] [Article Influence: 9.0] [Reference Citation Analysis]
5 Moradi M, Golmohammadi R, Najafi A, Moosazadeh Moghaddam M, Fasihi-ramandi M, Mirnejad R. A contemporary review on the important role of in silico approaches for managing different aspects of COVID-19 crisis. Informatics in Medicine Unlocked 2022;28:100862. [DOI: 10.1016/j.imu.2022.100862] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
6 Zhang L, Li R, Song G, Scholes GD, She ZS. Impairment of T cells' antiviral and anti-inflammation immunities may be critical to death from COVID-19. R Soc Open Sci 2021;8:211606. [PMID: 34950497 DOI: 10.1098/rsos.211606] [Reference Citation Analysis]
7 Zarnitsyna VI, Gianlupi JF, Hagar A, Sego TJ, Glazier JA. Advancing therapies for viral infections using mechanistic computational models of the dynamic interplay between the virus and host immune response. Curr Opin Virol 2021;50:103-9. [PMID: 34450519 DOI: 10.1016/j.coviro.2021.07.007] [Reference Citation Analysis]
8 Perelson AS, Ke R. Mechanistic Modeling of SARS-CoV-2 and Other Infectious Diseases and the Effects of Therapeutics. Clin Pharmacol Ther 2021;109:829-40. [PMID: 33410134 DOI: 10.1002/cpt.2160] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 7.0] [Reference Citation Analysis]
9 Munn LL, Stylianopoulos T, Jain NK, Hardin CC, Khandekar MJ, Jain RK. Vascular Normalization to Improve Treatment of COVID-19: Lessons from Treatment of Cancer. Clin Cancer Res 2021;27:2706-11. [PMID: 33648989 DOI: 10.1158/1078-0432.CCR-20-4750] [Reference Citation Analysis]