Artificial Intelligence in Cancer Research Revolutionizing Diagnostics and  Personalized Treatment

Chandra Nikitha Shatdarsanam

Artificial Intelligence in Cancer Research Revolutionizing Diagnostics and Personalized Treatment

Authors

Chandra Nikitha Shatdarsanam

Keywords:

Artificial Intelligence, Cancer Diagnostics, Personalized Medicine, Deep Learning, Predictive Oncology, Biomedical Data Analytics

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in cancer research,fundamentally reshaping diagnostic precision, prognostic modeling, and personalized therapeuticstrategies. The integration of AI-driven technologies—such as deep learning, convolutional neural networks, and natural language processing

References

Zhao, Z.; Bi, W.; Zhou, W.; VandeHaar, P.; Fritsche, L.G.; Lee, S. UK Biobank WholeExome Sequence Binary Phenome Analysis with Robust Region-Based Rare-Variant Test. Am. J. Hum. Genet. 2020, 106, 3–12.

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Published

2024-11-20

How to Cite

Chandra Nikitha Shatdarsanam. (2024). Artificial Intelligence in Cancer Research Revolutionizing Diagnostics and Personalized Treatment . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 2386–2407. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4331