January 26, 2024 - Researchers from Cleveland Clinic and IBM have found that artificial intelligence (AI) models can help provide insights into how antigen peptides interact with immune cells, which could be used to identify more effective immunotherapy targets, according to a study published recently in Briefings in Bioinformatics.

Designing immunotherapies relies on identifying antigens – foreign substances commonly found in tumors, bacteria, and viruses that trigger an immune response – and using them to attack infected or cancerous cells.

However, the process of how antigen peptides interact with immune cells is based on features of the cell’s surface. The large number of variables that impact how immune systems recognize these features and use that information to attack infected cells is not yet well understood, and research progress has been hampered as a result.

https://healthitanalytics.com/news/artificial-intelligence-models-may-enhance-immunotherapy-treatments