#ASH2022 is approaching and our collaborative network will present 9 orals on myeloma translational research C. Ola Landgren, M.D. Sylvester Comprehensive Cancer Center. Grateful to our collaborators Gareth Morgan Saad Z. Usmani MD MBA FACP 🇺🇸🇵🇰 Maclachlan K. nizar jacques bahlis Moffitt Cancer Center Heidelberg University & many more #mmsm 1/10

174 - together with Patrick Blaney Gareth Morgan Kylee Maclachlan and the Polyethnic1000 we applied a more granular and accurate way to look at ancestry and racial disparities in multiple myeloma using #WGS data. ash.confex.com/ash/2022/webpr… 9/10

The VkMyc mouse model recapitulates the transition of SMM to MM the gift that keeps on giving to MM. ⁦C. Ola Landgren, M.D.⁩ ⁦Francesco Maura⁩ ⁦Leif Bergsagel⁩

C.Origami, a machine learning model for cell type-specific chromatin architecture prediction and discovery of putative regulatory elements! Developed by our student Jimin Tan in collaboration with Bo Xia. Nature Biotechnology 4DNucleome EpigeneticsChromatin epigenetics_papers

Heng Li has built many foundational tools for NGS computing; shares his code & ideas very freely. A giant in the field Yet not a full professor at Harvard!?!??! Academia is strange

Exciting preprint to share! With Diko Kazandjian, C. Ola Landgren, M.D. , Francesco Maura. Genomic profiling of high-risk smoldering multiple myeloma (HR-SMM) to contextualize the generally favorable results in trials of early tx intervention. tinyurl.com/2c58vmza #mmsm (1/n)

🔬Our latest-preprint: self-supervised AI automating histologic pattern discovery and enhancing collaboration with pathologists. Check it out: arxiv.org/abs/2205.01931 with Adalberto CQ Nicolas Coudray John Le Quesne Ke Yuan et al.! #PrecisionPathology NYU GSOM Pathology NYU GSOM Precision Medicine