Explore the Agenda
8:00 am Check In & Light Breakfast
8:50 am Chair’s Opening Remarks
Advancing Translation with Cutting-Edge Cell Segmentation & Imaging Strategies to Drive Translational Development & Single Cell Insights
9:00 am Quantifying the H&E Picture That is Worth 1,000 Words: Pathology Scoring in the Digital Era
- Discussing unique challenges in deploying AI based strategies in nonclinical safety studies such as diverse animals models, heterogenous and sparse data
- Presenting case studies to illustrate algorithm development and deployment and show real-world evidence of algorithm performance
- Examining implementation issues, scalability, and life-cycle management
9:30 am Exploring the Application of Digital Pathology in Translational Pipelines to Guide Progression of Preclinical Candidates
- Utilizing unique digital pathology insights to inform PKPD studies and understand therapeutic response
- Integrating digital pathology early into trial design to safeguard clinical success downstream
- Data to show the unique benefit of utilizing digital pathology in translational workflows
10:00 am Round Table Discussion: Elucidating Cellular Mechanisms & Illuminating the Tumor Microenvironment with Accurate Cell Segmentation
- Selecting appropriate algorithms to predict cell boundaries across a variety of cell types
- Introducing cell boundary and surface markers to support accurate cell segmentation
- Exploring emerging cell segmentation methodologies, from staining to AI and evaluating their usefulness and accuracy across cell types
10:45 am Morning Break & Networking
Effectively Implementing Spatial Biology Across Drug Discovery Pipelines with Advanced Technologies to Generate Deeper Understanding of Disease Mechanisms
11:30 am Applying Spatial Transcriptomics to Illuminate the Tumor Microenvironment
- Evaluating appropriate spatial transcriptomics methodologies and technologies to facilitate efficient analysis
- Data to show the unique advantage of employing spatial transcriptomics for TME analysis
12:00 pm Overcoming Non-Specific Signals in Spatial Transcriptomics
- Presenting a largely overlooked issue of spatial transcriptomics data that causes prevalent detection of non-specific signals
- Showcasing a new computational algorithm corrects the data and improves downstream analysis tasks
- Demonstrating applications of our analysis methods in studying age-related conditions
12:30 pm Leveraging Spatial Transcriptomics to Chart the Transcriptome & Guide Target Selection
- Exploring novel approaches for generating and sourcing research-grade tissue samples
- Assessing the right spatial transcriptomics platforms and methodologies to support target discovery
- Presenting data that highlights the unique value of spatial transcriptomics in drug discovery and target selection
1:00 pm Single-Cell Transcriptomics & Proteomics Identify Tumor & Microenvironment Niches Leading to Resistance to TKI & ICI in EGFRSensitive Mutant Non-Small Cell Lung Cancer Patients
- Elucidate the complex interplay between tumor, stromal and immune milieu in real-world patients leading to resistance to TKI and ICI using single cell spatial tumor genomic expression and TME proteomics
- Identify cold tumor regions as core spatial niches of TKI and ICI resistance, where tumor cells exhibit upregulated expression of AREG, MUC1, MET, ACE2, and ASCL1, driving tumor proliferation and immune evasion
- Pave the way for AI-enabled discovery of novel predictive biomarkers and targeted therapeutic strategies to overcome TKI and ICI resistance
1:30 pm Lunch Break & Networking
Adopting AI & Machine Learning Capabilities to Advance Spatial Omics Insights & Maximize Efficiency of Digital Pathology
2:30 pm Harnessing Spatial Transcriptomics & AI-Driven Digital Pathology to Elucidate Immune & Regenerative Mechanisms in Diabetic Ulcers
- Mapped cell populations and transcriptional programs driving inflammation, fibrosis, and poor healing in diabetic foot ulcers using single-cell and spatial transcriptomics
- Integrated molecular data with AI-driven digital pathology to identify patients at high risk for impaired wound repair
- Uncovered immune-stromal interactions through combined molecular and computational analysis, accelerating biomarker discovery and guiding precision interventions
3:00 pm Developing Foundation Models for Spatial Biology
- Generating diverse, high-quality datasets to train robust AI models and overcome challenges in data access, annotation, and standardisation
- Improving interpretability and clinical validation of deep learning models to build trust, reproducibility, and regulatory readiness
- Leveraging foundational and multimodal AI tools to streamline image analysis, and enhance spatial data interpretation
3:30 pm Panel Discussion: Exploring the Untapped Potential of AI in Spatial Omics & Digital Pathology to Advance Highly Accurate, Time & Cost Effective Analysis
- Strategizing the applications of AI for cell phenotyping, scoring biomarkers, evaluating protein interactions
- Evaluating available technologies and selecting appropriate tools based on research aims and project priorities
- Training algorithms sufficiently and shedding light on the ‘black box’to increase implementation of AI across workflows