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Articles by Paul Simonson
Correction: spatial remodeling of bone marrow architecture defines tissue-state signatures of disease activity and therapeutic response in myelodysplastic neoplasms
Correction to: Leukaemia (2026) 40:1748-1762 In this article, the author’s name, Jiani Chai, was incorrectly written as Jian Chai. The original article has been corrected.
Type 1 interferon perturbates clonal competition by reshaping human blood development
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Abstract Inflammation accelerates evolutionary dynamics of hematopoietic stem cells (HSCs) in clonal hematopoiesis and myeloid neoplasms. We studied HSCs, progenitors and immune cells from patients with myeloproliferative neoplasms at baseline and following interferon-α (IFNα) treatment, the only therapy to deplete mutated stem cells.
By Chhiring Lama, Danielle Isakov, Shira Rosenberg, Miguel Quijada-Álamo, Mirca S Saurty-Seerunghen, Sara Moein, Mathis Nozais, Tsega-Ab Abera, Grace S. Freed, Chi-Lam Poon, Neelang Parghi, Amy Xie, Mohamed Omar, Daniel Choi, Ghaith Abu-Zeinah, Alicia Dillard, Saravanan Ganesan, Neville Dusaj, Eleni P. Mimitou, Peter Smibert, Heidi E. Kosiorek, Amylou C. Dueck, Rona Singer Weinberg, Ronan Chaligné, Bridget Marcellino, Luigi Marchionni, Sanjay Patel, Paul Simonson, Dan A. Landau, Elvin Wagenblast, Ronald Hoffman, Anna S. Nam, Olivia Sakaguchi, Mansi Totwani, Leila Zaydon, Andrea Kubas-Meyer, Franco Castillo-Tokumori, Nathaniel D. Omans, Paulina Chamely
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Nature
Verified
Spatial remodeling of bone marrow architecture defines tissue-state signatures of disease activity and therapeutic response in myelodysplastic neoplasms
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Abstract Myelodysplastic neoplasms (MDS) disrupt bone marrow hematopoiesis, yet clinical assessment relies largely on blast enumeration and qualitative morphology, which incompletely capture marrow architecture and disease state. We applied whole-slide multiplex immunofluorescence imaging with single-cell phenotyping to map bone marrow microarchitecture in MDS.
By Aleksandra Kopacz, Jian Chai, Arvin E. Ruiz, Itzel Valencia, Jeanne Jiang, Fabio Socciarelli, Jiwoon Park, Christopher Mason, Ling Zhang, David A Sallman, Gail J. Roboz, Pinkal Desai, Justin Kaner, Joshua A. Fein, monica guzman, Mónica Guzmán, Neal I. Lindeman, Amy Chadburn, Madhu M. Ouseph, Paul Simonson, Julia T. Geyer, Giorgio G. Inghirami, Shahin Rafii, David Redmond, Sanjay Patel, Ryan Nachman, Caitlin Unkenholz
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Nature
Verified
Comparison of three machine learning algorithms for classification of B‐cell neoplasms using clinical flow cytometry data
CONFLICT OF INTEREST STATEMENT The authors declare no conflicts of interest. Supporting Information Filename Description cytob22177-sup-0001-supinfo.docxWord 2007 document , 3.1 MB Data S1: Supporting Information. REFERENCES , , , , , , , , , , , , , , , , , , , … (2016). TensorFlow: a system for large-scale machine learning, in: Proceedings of the 12th USENIX Conference on Operating Systems Design and Implementation, OSDI’16 (pp. 265–283). USENIX Association. , , , , , , , , & (2012).
Recommendations for using artificial intelligence in clinical flow cytometry
REFERENCES , , The FlowCAP Consortium, The DREAM Consortium, , , , , & (2013). Critical assessment of automated flow cytometry data analysis techniques. Nature Methods, 10, 228–238. (2013). Second opinions: Pathologists' preventive medicine. Archives of Pathology & Laboratory Medicine, 137, 310–311. , , , , & (2020). Explainability for artificial intelligence in healthcare: A multidisciplinary perspective. BMC Medical Informatics and Decision Making, 20, 310.
Haploidentical allogeneic stem cell transplantation with post-transplant cyclophosphamide and subsequent kidney transplant for patients with severe sickle cell disease with end-stage kidney disease (ESKD) | Bone Marrow Transplantation
Authors and Affiliations Division of Hematology/Oncology, Department of Medicine, Weill Cornell Medicine, NewYork-Presbyterian Hospital, New York, NY, USA Alexandra Gomez-Arteaga, Nina Orfali, Inna Guindine, Jingmei Hsu, Sebastian A. Mayer, Adrienne A. Phillips, Tsiporah B.
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