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CellPhenoX: An eXplainable Cell-specific machine learning method to predict clinical Phenotypes using single-cell multi-omics biorxiv.org/content/10.110…

Glad to see this work is out at Nature 🎉 and grateful to have been involved! nature.com/articles/s4158…

Excited to be hosting the International Complement Workshop in Brisbane! Join us from Sept 14th-19th for cutting-edge complement science and unique Australian experiences. Submit abstracts by March 14! More info: complement.org/icw-2025 #ICW2025 #ComplementScience #Complement

Honored 🎉 to receive the grant from Arthritis Foundation on our work of "Harnessing Artificial Intelligence to Predict RA" arthritis.org/news/news-and-…. Look forward to developing AI methods to uncover predictive biomarkers from large longitudinal studies CU Anschutz Division of Rheumatology CU Department of Biomedical Informatics (DBMI)

Thank you for the support—how exciting! Arthritis Foundation

"We focus on enhancing disease prediction, ultimately enabling early disease prevention.": Dr. Fan Zhang ⛵️ of the CU Department of Medicine sees AI as a pathway to combating an intractable enemy: rheumatoid arthritis. CU School of Medicine CU Anschutz Medical Campus #cucityofhealth news.cuanschutz.edu/department-of-…

Deep immunophenotyping reveals circulating activated lymphocytes in individuals at risk for rheumatoid arthritis Journal of Clinical Investigation Dr. Fan Zhang ⛵️ Deepak Rao Jun Inamo Michael Holers James Lederer jci.org/articles/view/…

Dr. Jun Inamo and colleagues in Dr. Dr. Fan Zhang ⛵️'s lab constructed an at-risk landscape of immune cell atlas in blood using comprehensive surface proteins of large-scale single-cell proteomics. 📖 Read their new research in Journal of Clinical Investigation: bit.ly/42ezEka