Editorial: Decoding immunologic complex systems in cancer: the cutting-edge technologies revolutionizing cancer immunology and immunotherapy

Front Immunol. 2023 May 4:14:1208589. doi: 10.3389/fimmu.2023.1208589. eCollection 2023.

Hu Li¹, Jin Zhang^{2

3

4}, Yuin Han Loh^{5

6

7

8}, Daniel D Billadeau^{9

10}

¹ Department of Molecular Pharmacology and Experimental Therapeutics, Center for Individualized Medicine, Mayo Clinic, Rochester, MN, United States.
² Center for Stem Cell and Regenerative Medicine, Department of Basic Medical Sciences and the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
³ Institute of Hematology, Zhejiang University, Hangzhou, China.
⁴ Zhejiang Laboratory for Systems and Precision Medicine, Zhejiang University Medical Center, Hangzhou, China.
⁵ Cell Fate Engineering and Therapeutics Lab, Cell Biology and Therapies Division, ASTAR Institute of Molecular and Cell Biology, Singapore, Singapore.
⁶ Department of Biological Sciences, National University of Singapore, Singapore, Singapore.
⁷ Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
⁸ National University of Singapore (NUS) Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore, Singapore.
⁹ Division of Oncology Research, College of Medicine, Mayo Clinic, Rochester, MN, United States.
¹⁰ Department of Immunology, College of Medicine, Mayo Clinic, Rochester, MN, United States.

No abstract available

Keywords: artificial intelligence; cancer immunology; immunotherapies; multi omics; systems cancer immunology.

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