International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Research Paper | Computer Science and Information Technology | United States of America | Volume 13 Issue 11, November 2024 | Popularity: 4.6 / 10


     

Leveraging Cloud Computing and Cutting-Edge Technology for Early Cancer Diagnosis

Sairohith Thummarakoti


Abstract: Early detection of cancer is one of the critical steps that can improve patients' results, reduce mortality rates, and even enable treatment by less invasive methods. However, the complexity of data by traditional diagnostic approaches and processing demands further limit the diagnostic capabilities. The paper discusses how cloud computing and artificial intelligence can transform early cancer detection capabilities. Cloud platforms, such as Amazon Web Services (AWS), now provide the possibility for processing and analysis of large data sets of genetic information. The integration is enabled by tools such as BPM like PegaSystems with the functions of integration with data together with ensuring regulatory compliance so that it can highlight, on its way, that there is an increased need to ensure scalable, secure cloud environments for the pursuit of personalized preventive oncology. The convergence of AI and cloud computing will be the golden frontier of transforming diagnostics from cancer by making way for early intervention and effective patient outcomes.


Keywords: Early cancer detection, cloud computing, artificial intelligence, AWS, Grail, PegaSystems, genetic biomarkers, healthcare data processing, machine learning, oncology diagnostics


Edition: Volume 13 Issue 11, November 2024


Pages: 1051 - 1055


DOI: https://www.doi.org/10.21275/SR241116000007



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Sairohith Thummarakoti, "Leveraging Cloud Computing and Cutting-Edge Technology for Early Cancer Diagnosis", International Journal of Science and Research (IJSR), Volume 13 Issue 11, November 2024, pp. 1051-1055, URL: https://www.ijsr.net/getabstract.php?paperid=SR241116000007, DOI: https://www.doi.org/10.21275/SR241116000007



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