• Home
  • Join the Alliance
    • About Us
    • Our Members
    • Become a Member
    • Join the PA Team
  • Join A Project
    • All Projects
    • Chemical Safety Library Project
    • DataFAIRy Bioassay Annotation Project
    • Diversity & Inclusion in STEM Leadership Program
    • FAIR Implementation Project
    • IDMP Ontology Project
    • Microbiome Project
    • Natural Language Processing Use Case Database Project
    • Semantic Enrichment of ELN Data Project
  • Join a Community
    • All Communities
    • Artificial Intelligence & Machine Learning
    • Clinical Trial Environmental Impact
    • Controlled Substance Compliance
    • Lab of the Future
    • Pistoia Alliance/FDA In Vitro Pharmacology
    • Quantum Computing
    • Social Media & Real-World Evidence
    • User Experience for Life Sciences
  • Submit an Idea
  • Events
    • All events
    • Submit an Event
    • Sponsor a Webinar
    • Global Knowledge-Sharing Events
    • Past Webinars
  • News

  • Home
  • Join the Alliance
    • About Us
    • Our Members
    • Become a Member
    • Join the PA Team
  • Join A Project
    • All Projects
    • Chemical Safety Library Project
    • DataFAIRy Bioassay Annotation Project
    • Diversity & Inclusion in STEM Leadership Program
    • FAIR Implementation Project
    • IDMP Ontology Project
    • Microbiome Project
    • Natural Language Processing Use Case Database Project
    • Semantic Enrichment of ELN Data Project
  • Join a Community
    • All Communities
    • Artificial Intelligence & Machine Learning
    • Clinical Trial Environmental Impact
    • Controlled Substance Compliance
    • Lab of the Future
    • Pistoia Alliance/FDA In Vitro Pharmacology
    • Quantum Computing
    • Social Media & Real-World Evidence
    • User Experience for Life Sciences
  • Submit an Idea
  • Events
    • All events
    • Submit an Event
    • Sponsor a Webinar
    • Global Knowledge-Sharing Events
    • Past Webinars
  • News
Become a Member
Search

Search...

  • Menu

Pistoia Alliance April Virtual Conference: Accelerating and Improving Flow Cytometry Data Analysis for Clinical Trials

Accelerating and Improving Flow Cytometry Data Analysis for Clinical Trials, Patient Diagnosis, and Biomarker Discovery via Machine Learning Derived From Crowdsourced Analysis of COVID-19 Data Using Eve Online

This on-demand recording is part of the Pistoia Alliance Conference: Collaborative R&D in Action, April 20-23, 2021.  For more information about related events, please visit our online calendar.

Summary

Manual analysis of flow cytometry is currently not only highly subjective and time consuming, but the complexity of datasets has made it impossible to access the full amount of information embedded within them.

To address these challenges and aid scientists using flow cytometry technology to study COVID-19, in June 2020 we launched a crowdsourced science effort called Project Discovery in collaboration with CCP, developers of Eve Online (a space-based, persistent world massive multiplayer online role-playing game). Citizen scientists have already generated an unprecedented amount of training data that will benefit the entire community interested in developing ML algorithms for FCM.

Over 263K participants have generated over 88M bivariate plots. 46M of these plots come from data associated with peer-reviewed publications focused on COVID-19.

Featured Topics

  • Limitations of manual analysis and automated approaches for flow cytometry data analysis for clinical trials, patient diagnosis and biomarker discovery
  • Project Discovery, a citizen science approach to generating training data for cell population identification for machine learning and to aid scientists in their analysis of COVID-19 data

Learning Objectives

At the conclusion of this session, participants should be able to:

  • Recognize the challenges in the application of current analysis approaches for quick, accurate, and thorough analysis flow cytometry data for cell population reporting and discovery
  • Describe the advantages of a machine learning approach for data analysis, and the challenges developing robust approaches to do so

Speaker

Ryan Brinkman, PhD

Managing Director, Cytapex Bioinformatics


Conference Sponsors




scibite 2021 logo

Access Conference Recordings

Posted on April 20, 2021 by Catherine Maskell
Categories: Artificial Intelligence, Clinical Trials, Pistoia Webinars

Tags: clinical trials, COVID-19, data analytics, Machine learning, patient diagnosis, virtual conference week


Events

29 Mar 2023

How important is subject matter expertise in Life Sciences when using technology and artificial intelligence?

Book this event >
05 Apr 2023

Good Machine Learning Practices by the Pistoia Alliance GMLP CoI

Book this event >
18 Apr 2023

Pistoia Alliance Annual Spring Conference

London United Kingdom
Book this event >
09 May 2023

Pistoia Alliance’s IDMP Ontology Community of Interest Meeting – May 2023

Book this event >
Follow Us
Featured Projects
Natural Language Processing (NLP) Use Case Database Project
IDMP Ontology Project
Diversity & Inclusion in STEM Leadership Program
Unified Integrated Knowledge Base
Microbiome Project
Data Visualization Project
Methods Hub Project
Informed Consent Blockchain Project
Quality Generation and Ethical Use of Digital Health Data in Clinical Studies
Semantic Enrichment of ELN Data Project (SEED)
Sign up for Pistoia Alliance Communications

© Copyright Pistoia Alliance, Inc., 2020 | Contact us at info@pistoiaalliance.org | Terms of use | Privacy Statement

By clicking "Agree" you are agreeing to the following terms and conditions for the use of the UDM XML Schema definition.

This website intends to use cookies to improve the site and provide you with a better browsing experience. If you select "Continue" or continue to browse the site without customizing your choices, you agree to our use of cookies. Find out more in our Online Privacy Statement.

Continue More Info