Artificial Intelligence: A Promising Approach Toward Targeted Drug Therapy in Cancer Treatment

Cancer is one of the leading causes of death due to its high morbidity and mortality throughout the world. Various anticancer therapies like chemotherapy, radiation therapy, hormone therapy, surgical approaches, etc., are widely used in treating cancer but have serious adverse effects mostly due to cytotoxic action toward normal cells. AI is a boon in the field of oncology too. Anticancer drug activity is predicted using AI, and AI is used to help in the development of anticancer medicines. Various cancers and medications may react differently, and recent screening tools have repeatedly revealed a connection between cancer cell genetic variety and therapeutic efficacy. Its main features are lesion recognition, target area delineation, three-dimensional tumor localization, clinical and pathological analysis, quantitative tumor 130analysis, and tumor picture segmentation. The present review will cover the current status of various monoclonal antibodies used in targeted drug therapy of cancer along with the prospects of therapy. This article highlights the application of AI in various facets of the pharmaceutical sector with a focus on cancer treatment.