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WEBINAR

Multi-Omics Unleashed

When: July 9, 2024 Time: 3:00 pm

With all the excitement around multi-omics, there’s one question that stands out … 

How will multi-omics change healthcare? 

With new ways to integrate data, new applications in precision medicine, and the emerging potential of AI and machine learning for analysis, it is an exciting time to be applying multi-omic methods.

Hence, we would like to invite you to attend this Multi-omics Unleashed webinar series, to join us over the next three weeks while we explore the latest impact of ‘unleashing’ multi-omics on healthcare and translational research from three different angles. 

 **Please note that by registering for one webinar in the series, you will automatically be registered to all subsequent webinars**  

On Tuesday the 9th, 16th and 23rd July 2024 (at 3pm BST / 4pm CET / 10am EDT), we will host three different webinars that examines multi-omics advances from three interesting angles!


Webinar 1: Multi-Omics in Precision Medicine – Cutting-Edge Examples 

Tuesday 9th July 2024 at 3pm BST / 4pm CET/ 10am EDT   

Webinar 1 begins this series with some cutting-edge instances in which multi-omics is elevating precision medicine approaches, including specific examples of studies in breast cancer and autoimmune disease. 

Speakers:

  • George Kan, Director of Computational Biology, Pfizer – “A Clinical Multi-Omics Study of Drug Resistance in Metastatic Breast Cancer” 
  • Andrada Tomoni, Product Manager, biomodal – “”Reveal The Power of the 6-base Genome for Transformative Insights into Current and Future States of Disease”
  • Fan Zhang, Assistant Professor, University of Colorado – “Insights Into Autoimmune Disease Pathogenesis Using Single-Cell Omics and Computational Intelligence”

Takeaways:

  • Learn how to use multi-omics to identify molecular signatures and biomarkers, including advances in using epigenetics for this purpose
  • Discover up-to-date examples of using multi-omics to uncover disease mechanisms and treatment response in specific conditions, which you can adapt to use in your own studies

Webinar 2: Enhancing Your Multi-Omic Workflows with Data Integration  

Tuesday 16th July 2024 at 3pm BST / 4pm CET/ 10am EDT  

Webinar 2 will look at some unique examples of multi-omic integration, including reactome, cytoprofiling, and pathway-based multi-omics. These methods allow you to integrate multi-omics data in ways that can have a stronger impact in research and translational settings. 

Speakers: 

  • Eliot Ragueneau, Senior Software Engineer, EMBL-EBI – “Reactome GSA: an Online Tool to Integrate Multi-Omics Data on Reactome Pathways”
  • Abbey Cutchin, Associate Director, Strategic Marketing, Element Biosciences – “Empowering Multiomic Cytoprofiling and Cell Morphology Analysis on AVITI24™ using Teton™ Chemistry”
  • Cecilia Wieder, Research Associate, Imperial College London – “PathIntegrate: multivariate modelling approaches for pathway-based multi-omics integration”
  • Stathis Megas, Post-Doc Fellow, Wellcome Sanger Institute – “EmptyDropsMultiome discriminates real cells from background in single-cell multiomics assays”

Takeaways: 

  • Learn about unique types of multi-omics integration to add a new dimension to your work, such as Reactome and Pathway-based integration, as well as examples of their use in COPD and COVID-19 multi-omics data 
  • Discover a new method for discriminating real cells from background, which outperforms CellRanger ARC and identifies more nuclei
  • Find out how to perform cytoprofiling and cell morphology multi-omic analysis with AVITI24™

Webinar 3: AI/ML – Driving Multi-Omics Data Analysis to New Heights 

Tuesday 23rd July 2024 at 3pm BST / 4pm CET/ 10am EDT   

We finish with Webinar 3 and some exciting advances from AI and ML. Join this session to hear how models such as autoencoders, GANs and transformers can push multi-omics analyses to the next level and lead the way to transform precision medicine. 

Speakers: 

  • Zeeshan Ahmed, Assistant Professor of Medicine, Rutgers University – “Precision Medicine with Intelligent and Integrative Multi-Omics Data Analysis”
  • Ibrahim AlHurani, PhD Candidate, Lakehead University – “An Autoencoder and Generative Adversarial Networks Approach for Multi-Omics Data Imbalanced Class Handling and Classification”
  • Panos Firbas, Post-Doc Researcher, Champalimaud Foundation  – “Integrating a Molecular Assay in a Transformer Model for Context-Sensitive Cis-regulation Modeling”

Takeaway:

  • Discover how FAIR AI/ML applications will support early diagnosis and personalised treatment
  • Find out how you can use AI/ML today for better data, such as autoencoder-based dimensionality reduction and GANs to handle data imbalances in medical data 
  • Learn how models can ‘tap’ into biologically relevant information carried in an omic signal and model multi-omic data 

Speakers

George Kan George Kan, Director of Computational Biology, Pfizer

Andrada Tomoni Andrada Tomoni, Product Manager, biomodal

Fan Zhang Fan Zhang, Assistant Professor, University of Colorado

Eliot Ragueneau Eliot Ragueneau, Senior Software Engineer, EMBL-EBI

Abbey Cutchin Abbey Cutchin, Associate Director, Strategic Marketing, Element Biosciences

Cecilia Wieder Cecilia Wieder, Research Associate, Imperial College London 

Stathis Megas Stathis Megas, Post-Doc Fellow, Wellcome Sanger Institute

Zeeshan Ahmed Zeeshan Ahmed, Assistant Professor of Medicine, Rutgers University

Ibrahim AlHurani Ibrahim AlHurani, Assistant Professor, Lakehead University

Panos Firbas Panos Firbas, Post-Doc Researcher, Champalimaud Foundation

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