November 13, 2019  |  Announcements, CyTOF, viSNE, Webinars  |  By  |  0 Comments

November Webinar: Machine Learning Helps Reveal Altered Signaling Pathways in Blood Cancers


Produced in Collaboration with Nature Research Webcasts

Join us Thursday, November 21 at 8:00 AM PST/11:00AM EST for our next free webinar. Learn from Dr. Stephen Oh as he details his team’s findings using mass cytometry and machine learning analysis to investigate altered signaling networks and cellular cytokine expression in myelofibrosis.

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Myelofibrosis (MF) belongs to a class of blood cancers called Myleoproliferative Neoplasms (MPNs) that are characterized by anemia, an enlarged spleen, bone marrow fibrosis, and inflammatory cytokine production. The goal of this study is to better define the relationship between dysregulated cytokines and downstream signaling in MF, with the goal of determining how these pathways can be manipulated for therapeutic benefit.

Dr. Oh and his team employed mass cytometry analysis to interrogate altered signaling in MF by conducting quantitative analysis of more than 40 parameters at the single-cell level and then applied machine learning (ML) algorithms to identify NFkB pathway hyperactivation widely distributed across multiple hematopoietic cell populations, including both clonal (stem/progenitor cells) and non-clonal (T-cells) populations.

These studies highlight the potential to leverage hyperactivated NFkB pathway signaling for therapeutic benefit in MPN.

In This Presentation You Will Learn:

  • How investigators can leverage machine learning and single-cell analysis methods to reveal dysregulated signaling pathways.
  • How top researchers established a high-dimensional data analysis pipeline
  • How applying machine learning algorithms to high-dimensional data output can help accelerate results

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About the Presenters:

Steve Oh Dr. Stephen Oh
Assistant Professor of Medicine, Division of Hematology
Co-Head, Immunomonitoring Laboratory, Bursky Center for Human Immunology & Immunotherapy Programs
Washington University School of Medicine
Twitter: @MPNDoc
Qianjun Zhang Qianjun Zhang
Senior Field Application Scientist – Cytobank
ISAC Councilor and Emeritus Scholar

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