Wednesday October 1, 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 Patient subtyping in IBD & Autism Using Multi-omics Data with Natural Language Processing & Machine Learning
Synopsis
- Map data only to reference databases designed for proper binning and determine the robustness of your findings with Multi-Technology Meta-Analysis (MTMA)
- NLP topic models and machine learning lead to patient subgroups with explanatory attributes in IBD and Autism
- Prioritizing concordant findings when applying multiple techniques to extract features from a single raw data source
9:30 am Assessing the Strengths & Limitations of Omics Analysis to Design Appropriate Analytical Protocol
Synopsis
- Determining which methods of data deconvolution and omics analysis to conduct based on research aims and data quality
- Identifying appropriate methods of data integration and multi-omics analysis, dependent on indication, stage of disease and data availability
- Evaluating the strengths and limitations of individual omics and multi-omics analysis
10:00 am Morning Break
Synopsis
This is your opportunity to connect and establish meaningful industry relationships with other experts applying multi-omics to their workflows.
Achieving Data Harmonization & Integration to Effectively Combine Layers of Biological Understanding to Draw Comprehensive Conclusions on Pathology & Drug Development
11:00 am Defining the Dynamics of the Human Phenome
Synopsis
- Disruption of biological systems at one or more timescales can result in their dysfunction, often leading to disease
- Determining when we should be sampling biological systems to best capture the information represented at different time scales
- Temporal Investigation of Multimodal Elements (TIME) Study, an ongoing, ARPAH- funded observational study to validate a broad array of blood molecular profiling technologies and provide an in-depth understanding of the dynamics of human blood measurements.
11:30 am A Post-Data World for the Tumor-Micro Environment: LLMs & the End of Data Paralysis
Synopsis
- From Data Overload to Insight: The tumor microenvironment (TME) generates vast, complex datasets—LLMs can help overcome “data paralysis” by synthesizing and contextualizing this information
- LLMs as Discovery Engines: Large Language Models can accelerate hypothesis generation and pattern recognition in multi-omic and spatial data, enabling faster scientific discovery
- Redefining Research Workflows: Integrating LLMs into cancer research pipelines signals a shift toward a post-data era—where insight, not information, is the new frontier
12:30 pm Roundtable Discussion: Determining the Appropriate Methods of Data Integration & Multi-Omics Analysis to Enable Reliable, Reproducible Analysis & Interpretation
Synopsis
- Accounting for differences in units, timescales, dynamics and sensitivities of omics dataand developing a Standardization platform
- Adopting AI and algorithms to support data normalization and formatting and understand connections between different omics readouts
- Understanding what levels of multi-omics analysis to apply given sample quality and availability to ensure accurate, comprehensible readouts
12:45 pm Lunch Break & Networking
Using Data the Right Way: Setting Appropriate Research Goals, Storing & Visualizing Data Securely & Translating Multi-Omics Data into Biomedical Actions
1:45 pm Advancing Multi-Omics Data Management: Secure Architecture & Visualization with Sonoma Bio Datahub
Synopsis
- Integrating microservice frameworks with robust backend storage for safe, organized and scalable storage while supporting seamless data retrieval
- Implementing Okta authentication and granular user control to protect sensitive patient data and provide a secure foundation for data sharing
- RShiny applications for each omics dataset, powered by FastAPI for real-time data linking and analysis to facilitate data-driven decision-making and scientific discovery by making omics data accessible and understandable
2:15 pm Asking Rational Biological Questions, Selecting Appropriate Analytical Methods & Employing AI Tools to Demonstrate the Benefit of Multi-Omics Over Individual Omics Analysis
Synopsis
- Setting rational research aims to achieve optimal insights from multi-omics and address unmet medical need
- Achieving differentiated insights which are uniquely obtained when combining multiple levels of omics analysis to give greater insight into pathology and patient health
- Drawing accurate pathological conclusions based off of rational methodologies, data integration and analysis
2:45 pm Panel Discussion: Cutting Through the Noise of Large Data Sets to Extract Coherent Insights & Draw Biologically Significant Conclusions
Synopsis
- How to translate conclusions from large-scale data analysis into meaningful actions to take into the clinic
- How to determine statistical significance from biological relevance to ensure the right conclusions are being made
- Overcoming challenges of translating multi-omics data into patients, including regulatory hurdles
3:30 pm Afternoon Break & Networking
Synopsis
Take this opportunity to showcase your latest multi-omics strategies with your peers and understand how fellow experts are applying omics analysis. Please visit the website for T&Cs of submitting a poster.
Employing Novel Omics Technologies & AI Capabilities to Expand Scope of Analysis & Unlock Predictive Capabilities to Inform Therapeutic Development
4:30 pm Employing Novel Omics Technologies & AI Capabilities to Expand Scope of Analysis & Unlock Predictive Capabilities to Inform Therapeutic Development
Synopsis
- Applying innovative multi-omics analytical tools to unlock new biological insights
- Using AI to combine separate layers of data into a visualizable story to enable a deepened understanding of patient health and pathology
- The potential of AI to conduct faster data analysis and detect previously unseen trends and variants
5:00 pm Dissecting Post-Transcriptional Regulatory Networks in Human Immune Cells via Single-Cell Multi-Omics Integration
Synopsis
- Novel proteomics technologies enabling discovery biology with single-cell resolution
- Integration of single-cell proteomics and transcriptomics of diverse human immune cells
- Quantifying post-transcriptional regulation across cell types and signaling pathways