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Here’s where you can find out about it.
January 17, 2018  |  Announcements

Free Webinar – Machine Learning and Systems Biology Unite to Decode Drug Resistance

viSNEJanWebinar-576pxDon’t miss our free Webinar Thursday, January 25th at 9:00 AM PDT.

Learn how a systems biology approach that utilizes machine learning tools facilitates drug resistance discovery. Special guest, Cancer Biology PhD candidate Reema Baskar, co-mentored by Drs. Sean Bendall and Sylvia Plevritis of Stanford University, will show you how they leveraged Cytobank along with other computational tools to identify mechanisms of drug resistance in cancer cells.

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December 20, 2017  |  CITRUS, Conferences, viSNE

ASH Annual Meeting Report: Key Takeaways and Developments

We were excited to attend the American Society of Hematology meeting this month in Atlanta. Despite the conference beginning with the arrival of an unexpected winter storm, many leading scientists and clinicians congregated to present and discuss cutting-edge research in hematology.

The Cytobank platform was used by many who attended and presented and we were proud to contribute to these scientific advances. Highlights for us were:

  1. A multiparametric approach, “pharmacoscopy:” (a single-cell drug-response profiling approach that utilizes IF, automated microscopy, and image analysis, as detailed by Vladimer, Snijder et al., Nat. Chem. Biol. 2017) identified targetable drug pathways in CLL patients. Interestingly, the way that these authors use image morphology to quantify cell death is similar to what Ross Marklein from the FDA’s Center for Biologics Evaluation and Research (CBER) presented at BMES using Cytobank on imaging morphology data. In our consulting services, we’re excited to work with our customers on projects that integrate multiple data types, such as this work presented at ASH.
  2. Next Generation Sequencing (NGS) and its application in the clinic today was widely discussed. Similar to high dimensional cytometry analyses, developing reproducible and efficient bioinformatics analysis pipelines was identified as a major challenge to dissecting the large volume of data generated by NGS. During the late breaking abstract session, Dr. Tim Grob, presented data from a large prospective clinical trial demonstrating that NGS MRD detection can predict relapse and survival in newly diagnosed AML.
    Challenges for clinical use of Whole Exome Sequencing presented by Dr. Haferlach
    Challenges for clinical use of Whole Exome Sequencing presented by Dr. Haferlach.

     

  3.  Cytobank in action: Numerous posters and presentations used Cytobank to investigate immune system response to cancer, dysplasia, and other blood disorders. Some examples include:

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Tanaya Shree, Stanford University Medical Center, presenting “
Altered Peripheral Immune Phenotypes in Mantle Cell Lymphoma Survivors”. Here, CITRUS helped identify alterations of T cell subsets on MCL PBMC samples as compared to healthy donor samples.

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Bita Sahaf:
“Ibrutinib Inhibits cGVHD Pathogenic Pre-Germinal center B-cells and Follicular Helper Cells While Preserving Immune Memory and Th1 T-cells”

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Thomas Coats:
Neoantigens in MDS Are Associated with Two Novel CD4+ T Cell Subsets and Improved Overall Survival”

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Free Webinar – Bench to Bytes: Translating Bench Research to the Clinic with Machine Learning Tools

Join us Wednesday, November 29th for our next free webinar.

BloodCover-Kordasti-420pxLearn from experts how machine learning tools present a more expansive view of your data and facilitate prognostic discovery.

Special guests Dr. Shahram Kordasti of King’s College London and Dr. Richard Ellis of the NIHR Biomedical Research Centre at Guy’s and St. Thomas’ NHS Foundation Trust and King’s College London show you how they leveraged Cytobank to identify predictors of therapy response.  

In this webinar, they will present data and methods that led to their key discoveries in the clinic, as detailed in Blood Journal.

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October 23, 2017  |  Announcements, Conferences, DROP, viSNE

Biomedical Engineering Society Conference Review: Using viSNE on Single-cell Image Data for Improved Characterization of Immunotherapeutic Stem Cells

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Recently at the Biomedical Engineering Society MeetingRoss Marklein from the FDA’s Center for Biologics Evaluation and Research (CBER), presented a poster using viSNE in Cytobank on single-cell image data to characterize the function of mesenchymal stem cells (MSCs) used for cell therapy in autoimmune disease.
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September 18, 2017  |  Announcements, API, Education, Flow Cytometry, viSNE

Don’t Miss Our Next Webinar:
Create & Optimize Your Data Analysis Pipeline

Join us Wednesday, September 27th for our next free webinar. In this field report, you’ll get a walkthrough of how a successful Mass Cytometry core facility applied Cytobank and data analysis best-practices to streamline and grow their operations.

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Cytobank’s machine-learning algorithms enable faster, more comprehensive analysis of complex life science datasets for single cell and bulk data resolution. Making the leap from manual analysis to Machine Learning-assisted analysis may seem daunting, but it doesn’t have to be.

We’ll learn from guest presenter Dr. Vinko Tosevski, head of the Mass Cytometry Core Facility at The University of Zurich how he leveraged Cytobank in his operation to build an efficient data analysis pipeline.

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August 16, 2017  |  Announcements, DROP, Release Notes

New Release: DROP Expands Machine Learning Analysis
to More Data Types

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The team at Cytobank is delighted to announce the release of version 6.0.

In addition to updates and improvements across the platform, we are most excited to announce that our new DROP functionality is now available on all Enterprise Cytobank sites.

DROP (Data to Results Optimization Portal) enables you to import any numeric data in the format of a spreadsheet / numeric matrix for analysis by automating its conversion into an FCS file within Cytobank.

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