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This chapter explores how Natural Killer cell (NK cell) therapies could be advanced through the use of Artificial Intelligence (AI) methods. To overcome challenges in this field, current data-driven computational methods have the potential to enhance cell detection, analyze cellular behavior, and predict disease progression and treatment outcomes. The chapter examines AI-driven methods for optimizing personalized therapies using genetically engineered and edited NK cells, as well as the potential of AI in streamlining NK cell culturing and expansion processes to enhance production efficiency for therapeutic use. The chapter concludes by addressing challenges at the intersection of NK cell therapy and AI, including limited datasets and the need for standardized protocols.

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AI in Modular Concepts of Natural Killer Cell Therapy

  • 动态工具书词条

  • 发表日期：

    2025年

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  • Yannick Vogt,
  • Maria Kalweit,
  • Maria Alieva,
  • Evelyn Ullrich,
  • Joschka Boedecker,
  • Gabriel Kalweit

摘要

This chapter explores how Natural Killer cell (NK cell) therapies could be advanced through the use of Artificial Intelligence (AI) methods. To overcome challenges in this field, current data-driven computational methods have the potential to enhance cell detection, analyze cellular behavior, and predict disease progression and treatment outcomes. The chapter examines AI-driven methods for optimizing personalized therapies using genetically engineered and edited NK cells, as well as the potential of AI in streamlining NK cell culturing and expansion processes to enhance production efficiency for therapeutic use. The chapter concludes by addressing challenges at the intersection of NK cell therapy and AI, including limited datasets and the need for standardized protocols.