Moleküler Epidemiyolojide Yapay Zekanın Rolü: Bibliyometrik Analiz
Özet
Referanslar
Adali, Y., Aydın, V. K., Berberoğlu, Y., & Koseler, A. (2025). Research Trends on TNF-Alpha Polymorphisms and Psoriasis: A Bibliometric Analysis. Acta Medica Nicomedia, 8(1), 23–29. https://doi.org/10.53446/ACTAMEDNICOMEDIA.1554862
Ahmed, Z., Wan, S., Zhang, F., & Zhong, W. (2024). Artificial intelligence for omics data analysis. BMC Methods 2024 1:1, 1(1), 1–4. https://doi.org/10.1186/S44330-024-00004-5
Aydin, N. (2024). Bibliyometrik Analiz Nasıl Yapılır: Genel Bakış. Balkan and Near Eastern Journal of Social Sciences Balkan ve Yakın Doğu Sosyal Bilimler Dergisi Aydın, 10.
Berberoğlu, Y., Adali, Y., Kaan Aydin, V., & Köseler, A. (2025). Bibliometric Analysis of miRNA Studies in the Field of Biophysics: Descriptive Study. Türkiye Klinikleri Tıp Bilimleri Dergisi, 45(3), 121–129. https://doi.org/10.5336/MEDSCI.2025-108255
Boulesteix, A. L., Wright, M. N., Hoffmann, S., & König, I. R. (2020). Statistical learning approaches in the genetic epidemiology of complex diseases. Human Genetics, 139(1), 73–84. https://doi.org/10.1007/S00439-019-01996-9/FIGURES/4
Chen, C. J., Yu, M. W., & Liaw, Y. F. (1997). Epidemiological characteristics and risk factors of hepatocellular carcinoma. Journal of Gastroenterology and Hepatology, 12(9–10), S294–S308. https://doi.org/10.1111/J.1440-1746.1997.TB00513.X
Das, S., Dey, M. K., Devireddy, R., & Gartia, M. R. (2023). Biomarkers in Cancer Detection, Diagnosis, and Prognosis. Sensors 2024, Vol. 24, Page 37, 24(1), 37. https://doi.org/10.3390/S24010037
Faye, O., Freire, C. C. M., Iamarino, A., Faye, O., de Oliveira, J. V. C., Diallo, M., Zanotto, P. M. A., & Sall, A. A. (2014). Molecular Evolution of Zika Virus during Its Emergence in the 20th Century. PLOS Neglected Tropical Diseases, 8(1), e2636. https://doi.org/10.1371/JOURNAL.PNTD.0002636
Furberg, A. H., & Ambrosone, C. B. (2001). Molecular epidemiology, biomarkers and cancer prevention. Trends in Molecular Medicine, 7(11), 517–521. https://doi.org/10.1016/S1471-4914(01)02162-1
Gao, F., Yue, L., Robertson, D. L., Hill, S. C., Hui, H., Biggar, R. J., Neequaye, A. E., Whelan, T. M., Ho, D. D., Shaw, G. M., Sharp, P. M., & Hahn’, B. H. (1994). Genetic diversity of human immunodeficiency virus type 2: evidence for distinct sequence subtypes with differences in virus biology. Journal of Virology, 68(11), 7433–7447. https://doi.org/10.1128/JVI.68.11.7433-7447.1994
Hamilton, A. J., Strauss, A. T., Martinez, D. A., Hinson, J. S., Levin, S., Lin, G., & Klein, E. Y. (2021). Machine learning and artificial intelligence: applications in healthcare epidemiology. Antimicrobial Stewardship & Healthcare Epidemiology, 1(1), e28. https://doi.org/10.1017/ASH.2021.192
Kremer, K., Van Soolingen, D., Frothingham, R., Haas, W. H., Hermans, P. W. M., Martín, C., Palittapongarnpim, P., Plikaytis, B. B., Riley, L. W., Yakrus, M. A., Musser, J. M., & Van Embden, J. D. A. (1999). Comparison of Methods Based on Different Molecular Epidemiological Markers for Typing of Mycobacterium tuberculosis Complex Strains: Interlaboratory Study of Discriminatory Power and Reproducibility. Journal of Clinical Microbiology, 37(8), 2607–2618. https://doi.org/10.1128/JCM.37.8.2607-2618.1999
Levine, M., Rumsey, S. C., Daruwala, R., Park, J. B., & Wang, Y. (1999). Criteria and Recommendations for Vitamin C Intake. JAMA, 281(15), 1415–1423. https://doi.org/10.1001/JAMA.281.15.1415
Lin, H.-Y., & Park, J. Y. (2023). Epidemiology of Cancer. Anesthesia for Oncological Surgery, 11–16. https://doi.org/10.1007/978-3-031-50977-3_2
Ogino, S., Nishihara, R., Vanderweele, T. J., Wang, M., Nishi, A., Lochhead, P., Qian, Z. R., Zhang, X., Wu, K., Nan, H., Yoshida, K., Milner, D. A., Chan, A. T., Field, A. E., Camargo, C. A., Williams, M. A., & Giovannucci, E. L. (2016). Review article: The role of molecular pathological epidemiology in the study of neoplastic and non-neoplastic diseases in the era of precision medicine. Epidemiology, 27(4), 602–611. https://doi.org/10.1097/EDE.0000000000000471
Perrone, B., Ruffo, P., Augimeri, G., Sisci, D., Sinicropi, M. S., Tripepi, G., Mammì, C., Bonofiglio, D., & Conforti, F. L. (2023). Association between HMGCR, CRP, and CETP gene polymorphisms and metabolic/inflammatory serum profile in healthy adolescents. Journal of Translational Medicine, 21(1), 1–9. https://doi.org/10.1186/S12967-023-04571-Z/TABLES/3
Puniya, B. L. (2025). Artificial-intelligence-driven Innovations in Mechanistic Computational Modeling and Digital Twins for Biomedical Applications. Journal of Molecular Biology, 437(17), 169181. https://doi.org/10.1016/J.JMB.2025.169181
Read, C. M., Monis, P. T., & Thompson, R. C. A. (2004). Discrimination of all genotypes of Giardia duodenalis at the glutamate dehydrogenase locus using PCR-RFLP. Infection, Genetics and Evolution, 4(2), 125–130. https://doi.org/10.1016/J.MEEGID.2004.02.001
Redline, S., Tishler, P. V., Tosteson, T. D., Williamson, J., Kump, K., Browner, I., Ferrette, V., & Krejci, P. (2012). The familial aggregation of obstructive sleep apnea. https://doi.org/10.1164/ajrccm.151.3.7881656, 151(3 I), 682–687. https://doi.org/10.1164/AJRCCM.151.3.7881656
Scher, A. I., Terwindt, G. M., Picavet, H. S. J., Verschuren, W. M. M., Ferrari, M. D., & Launer, L. J. (2005). Cardiovascular risk factors and migraine. Neurology, 64(4), 614–620. https://doi.org/10.1212/01.WNL.0000151857.43225.49
Schwartz, S. M. (2024). Epidemiology of Cancer. Clinical Chemistry, 70(1), 140–149. https://doi.org/10.1093/CLINCHEM/HVAD202
Shi, Y., Au, J. S. K., Thongprasert, S., Srinivasan, S., Tsai, C. M., Khoa, M. T., Heeroma, K., Itoh, Y., Cornelio, G., & Yang, P. C. (2014). A Prospective, Molecular Epidemiology Study of EGFR Mutations in Asian Patients with Advanced Non–Small-Cell Lung Cancer of Adenocarcinoma Histology (PIONEER). Journal of Thoracic Oncology, 9(2), 154–162. https://doi.org/10.1097/JTO.0000000000000033
Sintchenko, V., & Holmes, E. C. (2015). The role of pathogen genomics in assessing disease transmission. BMJ, 350. https://doi.org/10.1136/BMJ.H1314
Sitinjak, B. D. P., Barliana, M. I., Murdaya, N., Rachman, T. A., & Zakiyah, N. (2023). The Potential of Single Nucleotide Polymorphisms (SNPs) as Biomarkers and Their Association with the Increased Risk of Coronary Heart Disease: A Systematic Review. Vascular Health and Risk Management, 19, 289–301. https://doi.org/10.2147/VHRM.S405039
Sung, J., & Hopper, J. L. (2023). Co-evolution of epidemiology and artificial intelligence: challenges and opportunities. International Journal of Epidemiology, 52(4), 969–973. https://doi.org/10.1093/IJE/DYAD089
Tümmler, B. (2020). Molecular epidemiology in current times. Environmental Microbiology, 22(12), 4909–4918. https://doi.org/10.1111/1462-2920.15238
Vasan, R. S. (2006). Biomarkers of Cardiovascular Disease. Circulation, 113(19), 2335–2362. https://doi.org/10.1161/CIRCULATIONAHA.104.482570
Venturini, P., Faria, P. L., & Cordeiro, J. V. (2025). AI and omics technologies in biobanking: Applications and challenges for public health. Public Health, 243, 105726. https://doi.org/10.1016/J.PUHE.2025.105726
Vineis, P., & Perera, F. (2007). Molecular Epidemiology and Biomarkers in Etiologic Cancer Research: The New in Light of the Old. Cancer Epidemiology, Biomarkers & Prevention, 16(10), 1954–1965. https://doi.org/10.1158/1055-9965.EPI-07-0457
Ye, Y., Pandey, A., Bawden, C., Sumsuzzman, D. M., Rajput, R., Shoukat, A., Singer, B. H., Moghadas, S. M., & Galvani, A. P. (2025). Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges. Nature Communications , 16(1), 1–18. https://doi.org/10.1038/S41467-024-55461-X;SUBJMETA