Artificial intelligence for optimization of immunotherapy: current applications and transformative potential - Summary - MDSpire

Artificial intelligence for optimization of immunotherapy: current applications and transformative potential

  • By

  • Ali Tarhini

  • Palak Dave

  • Shari Pilon-Thomas

  • Issam El Naqa

  • May 29, 2026

  • 0 min

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Objective:

Emphasize the significance of AI in immunotherapy.

Key Findings:
  • AI technologies have significantly impacted cancer immunotherapy, particularly in response prediction and patient stratification.
  • Generative AI and foundation models are expanding the applications of AI in treatment plan generation and adverse event prediction.
  • Agentic AI and the model context protocol (MCP) represent the next generation of AI technologies that could enhance immunotherapy development.
Interpretation:

Elaborate on specific remaining challenges.

Limitations:
  • Integrate limitations into the challenges section.
Conclusion:

Reiterate the importance of addressing challenges.

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