Year: 2024
Type: article
Abstract: Vaccine, a traditional treatment to fight against infected pathogens, is now applied into the therapy of tumor. For the development of tumor vaccines, the critical challenge is the selection of tumor-specific antigens that could distinguish normal and malignant cells. The human genome is vast. A single tumor may be accompanied by dozens or even hundreds of gene mutations, making it extremely difficult to select the appropriate mutation that corresponds to an ideal targeting antigen. Leveraging artificial intelligence and big data models to accelerate antigen selection is crucial for advancing tumor vaccine research. This article will explore the principles of tumor vaccines and antigen screening, delve into cutting-edge AI-assisted technologies in tumor vaccine development, and discuss how AI addresses technological gaps in this field. It will also provide insights into the potential impact of AI on advancing biological research, particularly in the context of current priorities in tumor clinical treatment.
DOI: 10.54097/j9xh3r48
Author: Jiaming Cui
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4405865976