Journal Article

Personalized cancer vaccine design using AI-powered technologies

Srinivasan, Kathiravan, M, Dinakaran, Dixit, Shriniket, Kumar, Anant, Vincent, P. M. Durai Raj

2024

Overview

Immunotherapy has ushered in a new era of cancer treatment, yet cancer remains a leading cause of global mortality. Among various therapeutic strategies, cancer vaccines have shown promise by activating the immune system to specifically target cancer cells. While current cancer vaccines are primarily prophylactic, advancements in targeting tumor-associated antigens (TAAs) and neoantigens have paved the way for therapeutic vaccines. The integration of artificial intelligence (AI) into cancer vaccine development is revolutionizing the field by enhancing various aspect of design and delivery. This review explores how AI facilitates precise epitope design, optimizes mRNA and DNA vaccine instructions, and enables personalized vaccine strategies by predicting patient responses. By utilizing AI technologies, researchers can navigate complex biological datasets and uncover novel therapeutic targets, thereby improving the precision and efficacy of cancer vaccines. Despite the promise of AI-powered cancer vaccines, significant challenges remain, such as tumor heterogeneity and genetic variability, which can limit the effectiveness of neoantigen prediction. Moreover, ethical and regulatory concerns surrounding data privacy and algorithmic bias must be addressed to ensure responsible AI deployment. The future of cancer vaccine development lies in the seamless integration of AI to create personalized immunotherapies that offer targeted and effective cancer treatments. This review underscores the importance of interdisciplinary collaboration and innovation in overcoming these challenges and advancing cancer vaccine development.

• Publisher: Frontiers Media SA,Frontiers Media S.A
• Subject: Animals / Antigen (tumor-associated) / Antigens / Antigens, Neoplasm - immunology / Artificial Intelligence / Cancer therapies / cancer vaccine / Cancer vaccines / Cancer Vaccines - immunology / Cancer Vaccines - therapeutic use / Clinical trials / Deep learning / Dendritic cells / Design / DNA vaccines / epitope design / Epitopes / Genetic variability / Humans / Immune response / Immune system / Immunology / Immunotherapy / Immunotherapy - methods / MHCpeptide binding prediction / mRNA / neoantigen prediction / Neoantigens / Neoplasms - immunology / Neoplasms - therapy / nucleic acid cancer vaccines / Pattern recognition / Precision Medicine - methods / R&D / Regulatory approval / Research & development / Therapeutic targets / Tumors / Vaccine Development