AI's role in reprogramming immunity
Practical AI
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AI Meets Immunology: Challenges and Insights
This chapter examines the integration of AI in immunology, focusing on the complexities of handling vast biological data and the significance of targeted questions in biospace. It discusses the benefits of transfer learning and the use of advanced models like Transformers to improve data analysis, particularly in single-cell studies. Additionally, it highlights the importance of interdisciplinary collaboration and effective communication among machine learning and biology experts to foster innovation in biomedical research.
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