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Cited by in F6Publishing
For: Ahmed Z, Zeeshan S, Foran DJ, Kleinman LC, Wondisford FE, Dong X. Integrative clinical, genomics and metabolomics data analysis for mainstream precision medicine to investigate COVID-19. BMJ Innov 2020;7:6-10. [DOI: 10.1136/bmjinnov-2020-000444] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 3.7] [Reference Citation Analysis]
Number Citing Articles
1 Luvhengo T, Molefi T, Demetriou D, Hull R, Dlamini Z. Use of Artificial Intelligence in Implementing Mainstream Precision Medicine to Improve Traditional Symptom-driven Practice of Medicine: Allowing Early Interventions and Tailoring better-personalised Cancer Treatments. Artificial Intelligence and Precision Oncology 2023. [DOI: 10.1007/978-3-031-21506-3_3] [Reference Citation Analysis]
2 Ling-Hu T, Rios-Guzman E, Lorenzo-Redondo R, Ozer EA, Hultquist JF. Challenges and Opportunities for Global Genomic Surveillance Strategies in the COVID-19 Era. Viruses 2022;14. [PMID: 36423141 DOI: 10.3390/v14112532] [Reference Citation Analysis]
3 Ahmed Z, Renart EG, Zeeshan S. Investigating underlying human immunity genes, implicated diseases and their relationship to COVID-19. Per Med 2022. [PMID: 35261286 DOI: 10.2217/pme-2021-0132] [Reference Citation Analysis]
4 Ahmed Z. Multi-omics strategies for personalized and predictive medicine: past, current, and future translational opportunities. Emerg Top Life Sci 2022:ETLS20210244. [PMID: 35234253 DOI: 10.1042/ETLS20210244] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
5 Ahmed Z. Precision medicine with multi-omics strategies, deep phenotyping, and predictive analysis. Progress in Molecular Biology and Translational Science 2022. [DOI: 10.1016/bs.pmbts.2022.02.002] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Ahmed Z. Intelligent health system for the investigation of consenting COVID-19 patients and precision medicine. Per Med 2021;18:573-82. [PMID: 34619976 DOI: 10.2217/pme-2021-0068] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
7 Sindelar M, Stancliffe E, Schwaiger-Haber M, Anbukumar DS, Adkins-Travis K, Goss CW, O'Halloran JA, Mudd PA, Liu WC, Albrecht RA, García-Sastre A, Shriver LP, Patti GJ. Longitudinal metabolomics of human plasma reveals prognostic markers of COVID-19 disease severity. Cell Rep Med 2021;2:100369. [PMID: 34308390 DOI: 10.1016/j.xcrm.2021.100369] [Cited by in Crossref: 23] [Cited by in F6Publishing: 30] [Article Influence: 11.5] [Reference Citation Analysis]