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

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

How will multi-omics change healthcare?

With new methods to integrate data, new applications in precision medicine, and the general promise of AI/ML methods, 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 translation research from three different angles.

Register now to join the virtual series live, with ten expert talks and live Q&As with the speakers, so you can ask personalised questions around your needs in multi-omics.

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

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:

• Demos of Reactome and Pathway-based multi-omic integration and examples of their use in COPD and COVID-19 multi-omics data
• Presentation of a new method for discriminating real cells from background, which outperforms CellRanger ARC
• 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

Finally, we finish with Webinar 3 and some highlights from Artificial Intelligence and Machine Learning. Specifically, how they are pushing multi-omics analyses to the next level, leading the way to transforming precision medicine.

Speakers:

• Zeeshan Ahmed, Assistant Professor of Medicine, The State University of New Jersey - "Precision Medicine with Intelligent and Integrative Multi-Omics Data Analysis"
• Ibrahim AlHurani, Assistant Professor, 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"

Takeaways:

• How FAIR AI/ML applications will support early diagnosis and personalised treatment
• 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

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 specific examples of how 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:

• A showcase on how to use multi-omics to identify molecular signatures and biomarkers, including advances in using epigenetics
• Up to date examples of multi-omics uncovering disease mechanisms and treatment response in specific conditions, which can be adapted from