New AI tool promises faster vaccine development by predicting T cell epitopes

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New AI tool promises faster vaccine development by predicting T cell epitopes
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An exciting collaboration between the Ragon Institute and the Jameel Clinic at MIT has achieved a significant milestone in leveraging artificial intelligence (AI) to aid the development of T cell vaccine candidates.

Ragon Institute of MGH, MIT and HarvardJan 29 2025 An exciting collaboration between the Ragon Institute and the Jameel Clinic at MIT has achieved a significant milestone in leveraging artificial intelligence to aid the development of T cell vaccine candidates.

The project marks a major first outcome from the Mark and Lisa Schwartz AI/ML Initiative at the Ragon Institute, which aims to integrate artificial intelligence, machine learning, and translational immunology to prevent and cure infectious diseases of global importance. This initiative was made possible through the generous support of Ragon Institute Board Chair Mark Schwartz and his wife, Lisa Schwartz.

Traditional methods for predicting epitopes often fall short in speed and accuracy. By integrating machine learning, researchers can now achieve faster and more efficient identification of T cell epitopes. This is our first paper at the intersection of AI and immunology. Through this collaboration with Dr. Gaiha and his team, we learned a lot about this fascinating field and are excited about the immense possibilities in using AI algorithms to model the intricacies of the immune system." Related StoriesA key factor in the development of MUNIS was the collaboration between immunologists and computer scientists.

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