From Code to Cure The Role of Generative AI in Antibody Design and Immunotherapy Optimization
DOI:
https://doi.org/10.58445/rars.524Keywords:
Cancer, immunology, Biology, Antibody, Artificial Inteligence, Immunotherapy, BiomedicineAbstract
This research paper explores the emergent integration of Generative Artificial Intelligence (AI) in the specialized field of immunotherapy, aiming to revolutionize disease treatment and clarify the future role of AI in healthcare. It focuses on the potential of Generative AI, characterized by its autonomous ability to produce diverse and unique outputs, to enhance immunotherapy—a treatment strategy that leverages the body's immune system to fight diseases. Drawing on machine learning's transformative potential, which powers generative models like OpenAI’s GPT-3 and Google’s BERT, we delve into the application of these technologies in immunotherapy, particularly in designing effective antibodies. This possibility introduces opportunities for more targeted and efficient treatment modalities in immunotherapy, promising enhanced therapeutic outcomes. This article delves into the present and prospective uses of generative AI in immunotherapy, championing enhanced design and functionality, with the ambition of nurturing a potent fusion of technology and biology, "From Code to Cure," that could revolutionize medical research and patient care.
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