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Cited by in F6Publishing
For: Russo G, Reche P, Pennisi M, Pappalardo F. The combination of artificial intelligence and systems biology for intelligent vaccine design. Expert Opin Drug Discov 2020;15:1267-81. [PMID: 32662677 DOI: 10.1080/17460441.2020.1791076] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Floresta G, Zagni C, Gentile D, Patamia V, Rescifina A. Artificial Intelligence Technologies for COVID-19 De Novo Drug Design. Int J Mol Sci 2022;23:3261. [PMID: 35328682 DOI: 10.3390/ijms23063261] [Reference Citation Analysis]
2 Spjuth O, Frid J, Hellander A. The machine learning life cycle and the cloud: implications for drug discovery. Expert Opin Drug Discov 2021;16:1071-9. [PMID: 34057379 DOI: 10.1080/17460441.2021.1932812] [Reference Citation Analysis]
3 Basu B, Gowtham NH, Xiao Y, Kalidindi SR, Leong KW. Biomaterialomics: Data science-driven pathways to develop fourth-generation biomaterials. Acta Biomater 2022;143:1-25. [PMID: 35202854 DOI: 10.1016/j.actbio.2022.02.027] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Arega AM, Pattanaik KP, Nayak S, Mahapatra RK. Computational discovery and ex-vivo validation study of novel antigenic vaccine candidates against tuberculosis. Acta Trop 2021;217:105870. [PMID: 33636152 DOI: 10.1016/j.actatropica.2021.105870] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
5 Dong J, Wu H, Zhou D, Li K, Zhang Y, Ji H, Tong Z, Lou S, Liu Z. Application of Big Data and Artificial Intelligence in COVID-19 Prevention, Diagnosis, Treatment and Management Decisions in China. J Med Syst 2021;45:84. [PMID: 34302549 DOI: 10.1007/s10916-021-01757-0] [Reference Citation Analysis]
6 Sun B, Zhang J, Wang J, Liu Y, Sun H, Lu Z, Chen L, Ding X, Pan J, Hu C, Yang S, Jiang D, Yang K. Comparative Immunoreactivity Analyses of Hantaan Virus Glycoprotein-Derived MHC-I Epitopes in Vaccination. Vaccines 2022;10:564. [DOI: 10.3390/vaccines10040564] [Reference Citation Analysis]
7 Peng Y, Liu E, Peng S, Chen Q, Li D, Lian D. Using artificial intelligence technology to fight COVID-19: a review. Artif Intell Rev 2022;:1-37. [PMID: 35002010 DOI: 10.1007/s10462-021-10106-z] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Sarker S, Jamal L, Ahmed SF, Irtisam N. Robotics and artificial intelligence in healthcare during COVID-19 pandemic: A systematic review. Rob Auton Syst 2021;146:103902. [PMID: 34629751 DOI: 10.1016/j.robot.2021.103902] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Valizadeh A, Imani Fooladi AA, Sedighian H, Mahboobi M, Gholami Parizad E, Behzadi E, Khosravi A. Evaluating the Performance of PPE44, HSPX, ESAT-6 and CFP-10 Factors in Tuberculosis Subunit Vaccines. Curr Microbiol 2022;79:260. [PMID: 35852636 DOI: 10.1007/s00284-022-02949-8] [Reference Citation Analysis]