Application of Artificial Intelligence for Designing Cancer Nanomedicine

Abstract

Precision cancer medicine deals with the selection of anticancer drugs for treatment that is appropriate for the tumor's molecular profile and that of the tumor microenvironment. Further, the process of drug development and efficacy analysis becomes tedious with an improved understanding of genetic profile and pattern. In this regard, artificial intelligence (AI) has demonstrated enormous potential in several areas of the healthcare sector that deal with data analysis and drug discovery. AI has extended towards improving therapeutic efficacy with the integration of AI-based tools into the cancer care regime. Importantly, with the application of AI algorithms, the gene mutations' impact on the sensitivity of chemotherapy or radiation therapy can be predicted. AI-assisted drug identification involving virtual screening of the drug safety and efficacy is relatively cost-effective and time-saving.

Keywords: Artificial intelligence, Gene therapy, Nanoformulations, Nanomedicine, Personalized medicine, Therapy.

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