Data integration, harmonization, interpretation and visualization remain critical challenges.

This track will explore strategies for integrating genomic, transcriptomic, proteomic and proteogenomic data, along with other omics layers, and how applying new AI approaches will help you uncover deeper biological insights. 

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11:30
  1. Promises and Challenges of Population Proteomics in Health and Disease
    Multi-Omics Integration Stage
    30 mins
    Common uses of large-scale population proteomics in health and disease.  Broad synopsis of main types of scalable proteomic methods.  Overview of large proteomic and proteogenomic studies in human blo …
    Speakers
    Speaker image for Benjamin Sun
    Benjamin Sun, Director, Head of Population Health Omics, Informatics and Predictive Sciences - Bristol Myers Squibb
12:00
  1. More details to be announced shortly
    Multi-Omics Integration Stage
    30 mins
    Sponsored by Olink Proteomics
12:30
  1. From Data to Decision: Leveraging Multi-Omics & Proteomics for the Right Target, Drug, and Patient
    Multi-Omics Integration Stage
    30 mins
    Background for multiomics integration for drug discovery/development: why, what, how  Application examples:  Target nomination  Biomarker ID/validation  Clinical development 
    Speakers
    Speaker image for Shuwei Li
    Shuwei Li, Director, Population Analytics & Insights, Data Science DPDS - Johnson & Johnson Innovative Medicines
14:10
  1. From Transcripts to Proteins: Principles of Proteins Abundance Control across Single Cells in Mammalian Tissues
    Multi-Omics Integration Stage
    30 mins
    Increasing proteomics throughput by multiplexing in the mass and time domains  Principles Governing Gene Expression and Protein Abundance in Single Cells  Inferring molecular regulatory mechanisms fro …
    Speakers
    Speaker image for Nikolai Slavov
    Nikolai Slavov, Professor and Founding Director - Northeastern University
14:40
  1. More details to be announced shortly
    Multi-Omics Integration Stage
    30 mins
    Sponsored by Fovus
15:10
  1. Proteomics-Driven Target Discovery and Drug Development
    Multi-Omics Integration Stage
    30 mins
    Detailed insights into proteomic technologies and workflows that enable target identification and validation.  Practical challenges and solutions for scaling proteomics data analysis and management.  …
    Speakers
    Speaker image for Matthew Glover
    Matthew Glover, Associate Director, Proteomics - AstraZeneca
16:10
  1. Integrating Transcriptomics and Proteomics to Accelerate Biomarker Discovery and Clinical Translation
    Multi-Omics Integration Stage
    30 mins
    The clinical motivation: why robust biomarkers and better patient stratification are needed to improve clinical decision-making.  Transcriptomics + proteomics together: how integrating RNA and protein …
    Speakers
    Speaker image for Banishree Saha
    Banishree Saha, Global Biomarker Lead - Takeda
16:40
  1. Sponsored Slot - Reserved for Bioptimus
    Multi-Omics Integration Stage
    30 mins
17:10
  1. Multi-Omic Case Studies in Drug Safety: Biomarker Discovery and Mechanistic Insights
    Multi-Omics Integration Stage
    30 mins
    Multi-omic profiling of blood samples from patients receiving immune checkpoint inhibitors or AAV gene therapy—before and after liver injury—revealed sensitive mechanistic biomarkers.  AI foundation m …
    Speakers
    Speaker image for Tom Lanz
    Tom Lanz, Senior Director, Multi-Omics and Biomarkers - Pfizer
11:30
  1. AI-Powered Cross-Level Cross-Scale Cross-Species Multi-Omics Integration And Predictive Modeling For Drug Discovery
    Multi-Omics Integration Stage
    30 mins
    An AI-powered multi-scale modeling framework integrates multi-omics data across biological levels, species, and organism hierarchies to accurately predict chemical-perturbed phenotypes.  This advanced …
    Speakers
    Speaker image for Lei Xie
    Lei Xie, Professor - Northeastern University
12:00
  1. More details to be announced shortly
    Multi-Omics Integration Stage
    30 mins
    Speakers
    Speaker image for Thomas Norman
    Thomas Norman, Associate Member - Memorial Sloan Kettering Cancer Center
12:30
  1. Multimodal Foundation Models for Biomolecular Analysis
    Multi-Omics Integration Stage
    30 mins
    Multimodal foundation models that incorporate sequence, structure and biochemical property information for RNA, protein and cellular level prediction  Application of these for predicting immunogenicit …
    Speakers
    Speaker image for Smita Krishnaswamy
    Smita Krishnaswamy, Associate Professor of Genetics and of Computer Science - Yale University
14:00
  1. Single-Cell Multi-Omics Integration to Find Blood Targets for Brain Diseases
    Multi-Omics Integration Stage
    30 mins
    Harnessing single-cell multi-omics to pinpoint potential therapeutic targets for brain diseases.  Integrating transcriptomic and epigenomic data to reveal cellular heterogeneity and disease-relevant p …
    Speakers
    Speaker image for Mark Gerstein
    Mark Gerstein, Professor of Biomedical Informatics - Yale School of Medicine
14:30
  1. CSF Proteomics Reflect Neuronal Excitability Before Amyloid Aggregation in Preclinical AD
    Multi-Omics Integration Stage
    30 mins
    Synaptic hyperplasticity precedes amyloid aggregation  Tau turnover increases before amyloid aggregation  The cytokine/chemokine response ramps up later during amyloid conversion 
    Speakers
    Speaker image for Abhay Moghekar
    Abhay Moghekar, Biofluid Biomarker Core Leader, Clinical Core Co-Leader - Johns Hopkins Hospital 
15:00
  1. Advances in Single-cell and Long-read Sequencing Converge for Novel Insights in Alzheimer’s Disease
    Multi-Omics Integration Stage
    30 mins
    Genetic variants impact Alzheimer’s Disease risk  Molecular consequences of Alzheimer’s disease pathology are cell type-specific  Altered splicing is implicated in AD susceptibility  Single-cell multi …
    Speakers
    Speaker image for Lindsay Rizzardi
    Lindsay Rizzardi, Assistant Professor, Department of Biochemistry and Molecular Genetics - The University of Alabama at Birmingham