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Related Concept Videos

Tumor Immunotherapy01:27

Tumor Immunotherapy

Immunotherapy is a treatment that boosts or manipulates the immune system to fight diseases, including cancer. For instance, by stimulating an immune response through vaccinations against viruses that cause cancers, like hepatitis B virus and human papillomavirus, these diseases can be prevented. Nonetheless, some cancer cells can avoid the immune system due to their rapid mutation and division. The immune response to many cancers involves three phases: elimination, equilibrium, and escape.
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Combination Therapies and Personalized Medicine

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  3. Openio: An Open Framework For Ai-native Immunotherapy.
  1. Home
  3. Openio: An Open Framework For Ai-native Immunotherapy.

Related Experiment Video

Microfluidic Co-Culture Models for Dissecting the Immune Response in in vitro Tumor Microenvironments
07:46

Microfluidic Co-Culture Models for Dissecting the Immune Response in in vitro Tumor Microenvironments

Published on: April 30, 2021

OpenIO: An open framework for AI-native immunotherapy.

Yingcheng Wu1, Hao Xiao1, Nan Jiang1

  • 1Department of Hepatobiliary Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University; State Key Laboratory of Genetics and Development of Complex Phenotypes; Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education; Institutes of Biomedical Sciences; National Engineering Center for Immunotherapy; Human Phenome Institute, Fudan University; Shanghai Academy of Natural Sciences, Shanghai, China.

Cancer Cell
|June 25, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

Open Immune Oncology (OpenIO) uses AI and omics data to advance precision oncology. This framework enables AI-driven engineering of immunotherapies, moving beyond empirical methods for better cancer treatment.

Related Experiment Videos

Microfluidic Co-Culture Models for Dissecting the Immune Response in in vitro Tumor Microenvironments
07:46

Microfluidic Co-Culture Models for Dissecting the Immune Response in in vitro Tumor Microenvironments

Published on: April 30, 2021

Area of Science:

  • Computational Biology
  • Immunology
  • Oncology

Background:

  • Precision oncology aims to tailor cancer treatments to individual patients.
  • Current immunotherapy approaches often rely on empirical screening.
  • Integrating diverse biological data is crucial for advancing treatment strategies.

Purpose of the Study:

  • To introduce Open Immune Oncology (OpenIO), a novel framework.
  • To integrate generative artificial intelligence (AI) and omics data for precision oncology.
  • To facilitate the transition towards AI-native engineering of immunotherapies.

Main Methods:

  • Leveraging biological scaling laws.
  • Utilizing foundation models in AI.
  • Integrating generative AI with omics data.

Main Results:

  • The proposed framework, OpenIO, enables a more rational approach to immunotherapy development.
  • It facilitates the transition from empirical screening to AI-driven therapeutic engineering.
  • Potential for enhanced precision in oncology treatments.

Conclusions:

  • Open Immune Oncology (OpenIO) offers a new paradigm for precision oncology.
  • The framework supports AI-native engineering of immunotherapies.
  • This approach promises to optimize cancer treatment strategies through advanced AI and omics integration.