"NEXT-FRONTIER TECHNOLOGIES IN CERVICAL CANCER PREVENTION: A GLIMPSE INTO TOMORROW’S MEDICINE"
Main Article Content
Keywords
Abstract
The incorporation of new revolutions in health, such as AI, telehealth, nanotechnology and genomics, among others, could revolutionize cervical cancer prevention through the application of individualized, risk-stratified approaches. These developments help to identify new biomarkers for early diagnosis, survival risk and efficacy of treatment. Digital health enables data management and analysis, therefore improving disease diagnosis, treatment and drug screening. Artificial intelligence tools sift through complicated data sets to look for patterns and even to forecast what might happen, assiting caregivers with making informed decisions that enhance patient care. Integration of these technology combinations provides unprecedented opportunities for early detection, individualized management, increased availability of care, and identification of those at highest risk for, eg, cervical cancer in resource-poor countries with the potential for reducing the global burden of cervical cancer.
References
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Amir, S. M., Idris, I. B., Said, Z. M., Yusoff, H. M., & Manaf, M. R. A. (2023). A Comparison of the National Cervical Cancer Policies in Six Developing Countries with the World Health Organization Recommendations: A Narrative Review [Review of A Comparison of the National Cervical Cancer Policies in Six Developing Countries with the World Health Organization Recommendations: A Narrative Review]. Iranian Journal of Public Health. Knowledge E. https://doi.org/10.18502/ijph.v52i6.12952
4. Banumathi, K., Venkatesan, L., Benjamin, L. S., Vijayalakshmi, K., & Satchi, N. S. (2025). Reinforcement Learning in Personalized Medicine: A Comprehensive Review of Treatment Optimization Strategies [Review of Reinforcement Learning in Personalized Medicine: A Comprehensive Review of Treatment Optimization Strategies]. Cureus. Cureus, Inc. https://doi.org/10.7759/cureus.82756
5. Bhat, D. (2022). The ‘Why and How’ of Cervical Cancers and Genital HPV Infection [Review of The ‘Why and How’ of Cervical Cancers and Genital HPV Infection]. CytoJournal, 19, 22. Medknow. https://doi.org/10.25259/cmas_03_03_2021
6. Bhatla, N., Meena, J., Kumari, S., Banerjee, D., Singh, P., & Natarajan, J. (2021). Cervical Cancer Prevention Efforts in India [Review of Cervical Cancer Prevention Efforts in India]. Indian Journal of Gynecologic Oncology, 19(3). Springer Science+Business Media. https://doi.org/10.1007/s40944-021-00526-8
7. Bi, W. L., Hosny, A., Schabath, M. B., Giger, M. L., Birkbak, N. J., Mehrtash, A., Allison, T., Arnaout, O., Abbosh, C., Dunn, I. F., Mak, R. H., Tamimi, R. M., Tempany, C. M., Swanton, C., Hoffmann, U., Schwartz, L. H., Gillies, R. J., Huang, R. Y., & Aerts, H. J. W. L. (2019). Artificial intelligence in cancer imaging: Clinical challenges and applications [Review of Artificial intelligence in cancer imaging: Clinical challenges and applications]. CA A Cancer Journal for Clinicians, 69(2), 127. Wiley. https://doi.org/10.3322/caac.21552
8. Bobdey, S., Sathwara, J., Jain, A., & Balasubramaniam, G. (2016). Burden of cervical cancer and role of screening in India. Indian Journal of Medical and Paediatric Oncology, 37(4), 278. https://doi.org/10.4103/0971-5851.195751
9. Bongurala, A. R., Save, D., & Virmani, A. (2025). Progressive role of artificial intelligence in treatment decision-making in the field of medical oncology. Frontiers in Medicine, 12. https://doi.org/10.3389/fmed.2025.1533910
10. Bonjour, M., Charvat, H., Franco, E. L., Piñeros, M., Clifford, G. M., Bray, F., & Baussano, I. (2021). Global estimates of expected and preventable cervical cancers among girls born between 2005 and 2014: a birth cohort analysis. The Lancet Public Health, 6(7). https://doi.org/10.1016/s2468-2667(21)00046-3
11. Bosch, F. X., Tsu, V., Vorsters, A., Damme, P. V., & Kane, M. (2012). Reframing Cervical Cancer Prevention. Expanding the Field Towards Prevention of Human Papillomavirus Infections and Related Diseases [Review of Reframing Cervical Cancer Prevention. Expanding the Field Towards Prevention of Human Papillomavirus Infections and Related Diseases]. Vaccine, 30. Elsevier BV. https://doi.org/10.1016/j.vaccine.2012.05.090
12. Briganti, G., & Moine, O. L. (2020). Artificial Intelligence in Medicine: Today and Tomorrow. Frontiers in Medicine, 7. https://doi.org/10.3389/fmed.2020.00027
13. Burmeister, C. A., Khan, S. F., & Prince, S. (2024). Drugs and Drug Targets for the treatment of HPV-Positive Cervical Cancer [Review of Drugs and Drug Targets for the treatment of HPV-Positive Cervical Cancer]. Tumour Virus Research, 19, 200309. Elsevier BV. https://doi.org/10.1016/j.tvr.2024.200309
14. Castle, P. E. (2024). Looking Back, Moving Forward: Challenges and Opportunities for Global Cervical Cancer Prevention and Control [Review of Looking Back, Moving Forward: Challenges and Opportunities for Global Cervical Cancer Prevention and Control]. Viruses, 16(9), 1357. Multidisciplinary Digital Publishing Institute. https://doi.org/10.3390/v16091357
15. Chang, A. (2019). The Role of Artificial Intelligence in Digital Health. In Computers in health care (p. 71). Springer International Publishing. https://doi.org/10.1007/978-3-030-12719-0_7
16. Chauhan, A. S., Prinja, S., Srinivasan, R., Rai, B., Malliga, J., Jyani, G., Gupta, N., & Ghoshal, S. (2020). Cost effectiveness of strategies for cervical cancer prevention in India. PLoS ONE, 15(9). https://doi.org/10.1371/journal.pone.0238291
17. Farina, E. M. J. de M., Nabhen, J. J., Dacoregio, M. I., Batalini, F., & Moraes, F. Y. de. (2022). An Overview of Artificial Intelligence in Oncology [Review of An Overview of Artificial Intelligence in Oncology]. Future Science OA, 8(4). Future Science Ltd. https://doi.org/10.2144/fsoa-2021-0074
18. Franco, E. L., Duarte‐Franco, E., & Ferenczy, A. (2001). Cervical cancer: epidemiology, prevention and the role of human papillomavirus infection. PubMed, 164(7), 1017. https://pubmed.ncbi.nlm.nih.gov/11314432
19. Gaffney, D. K., Hashibe, M., Kepka, D., Maurer, K. A., & Werner, T. L. (2018). Too many women are dying from cervix cancer: Problems and solutions [Review of Too many women are dying from cervix cancer: Problems and solutions]. Gynecologic Oncology, 151(3), 547. Elsevier BV. https://doi.org/10.1016/j.ygyno.2018.10.004
20. Gakidou, E., Nordhagen, S., & Obermeyer, Z. (2008). Coverage of Cervical Cancer Screening in 57 Countries: Low Average Levels and Large Inequalities. PLoS Medicine, 5(6). https://doi.org/10.1371/journal.pmed.0050132
21. García-Saisó, S., Martí, M., Pesce, K., Luciani, S., Mújica, Ó. J., Hennis, A., & D’Agostino, M. (2024). Artificial Intelligence as a Potential Catalyst to a More Equitable Cancer Care. JMIR Cancer, 10. https://doi.org/10.2196/57276
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Aug 29, 2024
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Dr Rabia Bibi, Dr Zareena Begum, Dr. Amna Najam, Sania Murad, Dr Sajida Rasheed, & Dr. Amber Shams. (2024). "NEXT-FRONTIER TECHNOLOGIES IN CERVICAL CANCER PREVENTION: A GLIMPSE INTO TOMORROW’S MEDICINE". Journal of Population Therapeutics and Clinical Pharmacology, 31(8), 3769-3778. https://doi.org/10.53555/f96s4d48
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Author Biographies
Dr Rabia Bibi
Liaquat University of Medical and Health Sciences, Jamshoro
Dr Zareena Begum
Assistant Professor, Saidu medical college swat
Dr. Amna Najam
Assistant Professor Obs/Gynae, Al-Nafees Medical College and Hospital Islamabad
Sania Murad
MBBS, CHPE, FCPS Gynae ObsMbbs Uni: Liaquat National Medical College Karachi
Dr Sajida Rasheed
Dow university of health sciences Karachi
Dr. Amber Shams
Liaquat University of Medical and Health Sciences, Jamshoro
How to Cite
Dr Rabia Bibi, Dr Zareena Begum, Dr. Amna Najam, Sania Murad, Dr Sajida Rasheed, & Dr. Amber Shams. (2024). "NEXT-FRONTIER TECHNOLOGIES IN CERVICAL CANCER PREVENTION: A GLIMPSE INTO TOMORROW’S MEDICINE". Journal of Population Therapeutics and Clinical Pharmacology, 31(8), 3769-3778. https://doi.org/10.53555/f96s4d48