Precision medicine holds the potential to significantly enhance our ability to treat cancers, autoimmune diseases, and chronic infections with increasing specificity. Deeper understanding of how lymphocyte antigen receptors recognize antigens and generate signals is driving the creative design of chimeric and artificial receptors. Insights into the formation and maintenance of antigen-specific memory are guiding innovative approaches to cell therapeutics. Visualizing complex immunological and disease processes in vivo and modeling them in organoids are accelerating the translation of basic discoveries into clinical applications. Machine learning and artificial intelligence are unlocking hidden patterns and providing data-driven solutions to fundamental questions in lymphocyte biology. This meeting will convene leading experts and thought leaders in these pivotal areas of immunological research, with the goal of advancing our capacity to analyze, understand, and engineer lymphocyte biology for the next-generation precision medicine.

Topics covered in the symposium:

• Signaling and design of antigen receptors
• Biology and manipulation of immune memory
• Immunity in organoids and in situ
• Understanding immunity with machine learning / artificial intelligence
• Precision therapies for autoimmune diseases and cancers
• New directions in cancer immunotherapy

Hai Qi, Tsinghua University, China

Mark M. Davis, Stanford University, USA

Carola Vinuesa, The Francis Crick Institute, UK

Laura Mackay, The University of Melbourne, Australia

Lisa Butterfield, Merck, USA

Chen Dong, Westlake University, China

Bo Huang, Peking Union Medical College, China

Zhiwei Huang, Harbin Institute of Technology, China

Matteo Iannacone, San Raffaele Scientific Institute & University, Italy

Jonathan Kipnis, Washington University, USA

Vijay Kuchroo, Harvard University, USA

Wanlu Liu, Zhejiang University, China

Tak Mak, University of Toronto, Canada

Stephen Nutt, Walter and Eliza Hall Institute, Australia

Qiang Pan-Hammarström, Karolinska Institutet, Sweden

Min Peng, Tsinghua University, China

Jiangning Song, Monash University, Australia

Stephen Schoenberger, La Jolla Institute for Immunology, USA

Xuemei Tong, Shanghai Jiao Tong University, China

Haopeng Wang, ShanghaiTech University, China

Xiaowo Wang, Tsinghua University, China

Peng Wu, The Scripps Research Institute, USA

Ramnik Xavier, Broad Institute of MIT and Harvard, USA

Huji Xu, Naval Medical University, China

Meng Xu, Tsinghua University, China

Lilin Ye, Third Military Medical University, China

Di Yu, The University of Queensland, Australia

Jun Yu, The Chinese University of Hong Kong, China (Hong Kong)