Thursday October 2, 2025
7:50 am Check In & Light Breakfast
8:50 am Chair’s Opening Remarks
Defining Gold-Standard Methodologies & Establishing Consensus for Omics Analysis to Facilitate Effective Downstream Multi-Omics Capabilities
9:00 am Multimodal Network Approach for Discovery of Novel Targets in Rheumatoid Arthritis
Synopsis
- Gene module network is deconstructed using scRNAseq data from RA patient samples.
- Highly multiplexed spatial omics approach (CosMx) recapitulated granular cell types in space.
- Spatial domain (niche) highlighted unique spatial interactions in RA
9:30 am Roundtable Discussion: Working Effectively with Challenging Samples to Achieve Maximum Multi-Omics Insight from Low Quality & Quantity Data
Synopsis
- Overcoming low data availability by combining omics data from different populations with the same disease and accounting for unbalanced and unnormalized data
- Upholding high quality control standards during assay development, sample collection, processing and storage to avoid damaging or wasting patient data
- Integrating protocols in preclinical and clinical development to ensure adequate sample collection and annotation
10:15 am Morning Break & Networking
Dissecting the Biology & Evolution of Disease with Multi-Omics Insights to Transform Pathology & Drug Discovery
11:15 am Acquiring Principles of Spatial Data Deconvolution & Interpretation: Building a Novel Paradigm to Characterize Inflammatory Bowel Disease
Synopsis
- Development of a novel computational model to reconcile with the complex spatiotemporal nature of data and extract disease-relevant insights from human FFPE tissues.
- Integration of spatial biology with quantitative histopathology to characterize the nature of inflammation present in various cellular niches.
- Trajectory inference and pseudo-time analysis to study the epithelial barrier dysfunction during IBD.
11:45 am From Data to Depletion: Integrating Multi-Omics, Computation & Experimental Validation to Identify & Eliminate Pathogenic Cell Populations
Synopsis
- Harnessing multi-modal single-cell, spatial, and genetic data to pinpoint disease-driving cell populations and their surface vulnerabilities
- Bridging in silico discovery with in vivo validation through a tightly integrated platform of custom biologics and cell depletion assays
- Accelerating therapeutic development by comparing targets and modalities head-to head in disease-relevant models to nominate the best path forward
12:15 pm Single Cell Multimodal Analysis Reveals Cell-Cell Communication Networks in Normal & Abnormal Cardiac Morphogenesis
Synopsis
- Integrated single-cell RNA-seq and ATAC-seq atlas of mouse heart development over 5 timepoints
- Development of a machine learning classification algorithm to discover transcriptional enhancers for cell types
- Applications of integrated multimodal analyses to define mechanisms of congenital heart defects
12:45 pm Lunch Break & Networking
Unlocking Previously Undruggable Targets with Multi-Omics to Revolutionize Treatment Strategy & Precision Medicine & Reach More Patients in Need
1:45 pm Multimodal Profiling of FFPE Tissue to Characterize Disease Biology & Enable Novel Early Target Identification in Crohn’s Disease
Synopsis
- Integrating histological and transcriptomic information to increase understanding of disease biology and drive new target discovery
- Taking advantage of the technological innovation that allows matched single-nuclei RNAseq, spatial transcriptomics, and multiplex immunofluorescence from FFPE tissue and applying this to a curated patient cohort
- Using advanced bioinformatics analysis and histologically guided features to report a novel framework to guide target discovery in inflammatory diseases
2:15 pm Uncovering Novel Drug Targets in Giant Cell Arteritis Through Spatial Transcriptomics
Synopsis
- Dissecting the Cellular and Molecular Landscape of Giant Cell Arteritis (GCA) Using Single-Cell Spatial Transcriptomics
- Technical Landscape: Comparative Overview of Spatial Transcriptomics Platforms
- Identifying Novel Therapeutic Targets in GCA through Spatially Resolved Pathway Analysis
2:45 pm Multi-Omics for Precision Medicine: Applying Complex Analysis of Individual Patient Data to Guide Development of Efficacious, Tolerable Personalized Therapies
Synopsis
- Developing comprehensive analytical methodologies to create a multi-omics picture of an individual patient
- Tracking patient response with AI to multi-omics-based decisions to validate findings and inform future care
- Lessons on applying multi-omics to personalised medicine pipelines
3:15 pm Multi-Omics Discovery & In Vivo Validation of Novel Targets for Neurology & Oncology
Synopsis
- Applying a data-driven approach to drug discovery by integrating large-scale multi-omics datasets with advanced AI/ML tools to uncover biology and discover novel therapeutic targets
- Discovery and development of SB-0110, a first-in-class small molecule for Parkinson’s disease and levodopa-induced dyskinesia
- Generating and deploying metabolomics-based models for drug discovery, demonstrating superior performance to transcriptomics in initial applications
3:45 pm Throwing the Kitchen Sink at Drug Development for Autoimmune Diseases
Synopsis
- Strengths and limitations of multi-omics
- Digestible multi-omics
- Case study for Ulcerative Colitis