Role of Artificial Intelligence in Cancer Nanotheranostics

Abstract

In spite of the tremendous advancements in cancer detection and therapy, it still remains the second leading cause of death worldwide. The unique molecular signatures of the patients may lead to varied drug responses, and the genetic heterogeneity among the individuals hindered the early diagnosis and treatment for different types of cancer. Artificial intelligence (AI) has been widely applied in various medical fields like medical imaging, gene expression pattern analysis, and nanomaterial development and implementation. This makes the World Economic Forum to place artificial intelligence among the ten emerging technologies of 2015. The applicability of AI to handle large datasets and to perform pattern analysis makes them a suitable approach to design nanoparticles with enhanced efficacy for cancer diagnosis and treatment. AI-based pattern analysis and neural network training algorithms can also contribute to increase the precision value in diagnosis and therapy for cancer. Nowadays, artificial neural networks (ANNs) are being exploited for multifactorial analyses and to evaluate the complex, nonlinear relationships among the processing parameters. However, AI-based nanomedicines have to overcome the ethical challenges and to prove its efficacy and safety over the conventional cancer treatments.