癌症
癌症治疗
医学
人工智能
工程类
纳米技术
计算机科学
材料科学
内科学
作者
Mohammad Sameer Khan,Mohammad Y. Alshahrani,Shadma Wahab,Garima Gupta,Prashant Kesharwani
标识
DOI:10.1016/j.jddst.2024.105892
摘要
In the field of cancer research, a bird's eye view is now demanded to alleviate patient suffering and mediate the lack of conventional cancer treatment. Despite of the advancements in the field of nanomedicine the potential side effects and the financial burden to healthcare have been on the rise. As a result, the introduction of artificial intelligence (AI) into the field of cancer nanotechnology has played a significant role. The application of AI in the development of nano-based products has revolutionised the healthcare industry by enabling the collection and analysis of massive datasets and customising precision nanomedicines for cancer treatment. By optimizing the design pipeline, effective drug synergy, and reduction of nanotoxicity, AI-enabled nanotechnology can enhance molecular profiling and early patient diagnosis accuracy. Additionally, it can improve the targeting ability, personalised dosing, and therapeutic potency of nanomedicines. With this context, the current review provides brief insights on the aspects of AI in the cancer treatment. Further, it meticulously describes the role of AI in biomarker profiling, Drug design and optimization profiles. Lastly, it presents the patents and clinical trials filled till date followed by the future perspective of AI in cancer treatment.
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