8:00 am Conference Registration & Welcome Coffee

8:45 am Chair’s Opening Remarks

  • Jimena Trillo Director, Translational Pathology, Daiichi Sankyo, Inc

Overcoming Challenges in Spatial Data Analysis and Interpretation

9:00 am Software Tools For The Analysis Of Cellular Niches In Spatial Transcriptomics Data


• Managing and understanding large data sets

• Incorporating data obtained from spatial information to analyse signalling pathways 

• Processing data to attain the whole picture of the tissue to develop better treatments for patients

9:30 am Building Internal Capabilities For Image Informatics & Image Analysis Infrastructure


• Examining the features, capabilities, and best practices associated with data management solutions

• Complying with data governance, security and privacy rules 

• Understanding optimal data management practices to ensure the maintenance of data 

10:00 am From Discovery to Data: Considerations in Standardizing and Validating Multiplex Panels for Use in Clinical Trial Applications


• The “pathologist perspective” on spatial technologies, multiplexing, and image analysis for evaluation of clinical samples

• Approaches to identifying biomarkers for multiplex panels and developing a standardized workflow

• The challenges/limitations in multiplex assay and digital image analysis validations

10:30 am Morning Break & Networking

11:00 am Spatial Biology: The Next Frontiers


  • Utilization of advanced spatial biology tools and explainable AI for more successful clinical trials
  • Addressing future challenges in adoption, standardization, and AI credibility
  • Integration of multimodal data in the evolving AI landscape

11:30 am Exploring New Targets for Ovarian Cancer at Single-Cell Resolution Through Unbiased Spatial Proteomics

  • Tullia Bruno Assistant Professor of Immunology, UPMC Hillman Cancer Center


  • Overcoming Challenges in LC-MS-based Analysis for Unbiased Spatial Proteomics at the Single-Cell Level
  • Unveiling the Complete Single-Cell Proteome in Tissues and its Relationship to Stochastic Noise in Transcriptomes
  • Integrating Technologies for a Holistic View: Multiplexed Imaging, Spatial Transcriptomics, High-Content Imaging, AI, and Single-Cell Laser Microdissection in Combination with MS-based Proteomics for Unbiased Molecular Readouts in Tissue Studies

12:00 pm Enriching Understanding of Tumor Microenvironment through Advancements in Spatial Profiling Technologies

  • Jimena Trillo Director, Translational Pathology, Daiichi Sankyo, Inc


• Highlighting the strengths, limitations, and unique features of each technology in capturing spatial information within the TME

• Identifying and characterizing distinct cell populations, spatial organization, and cell-cell interactions within the TME

• Uncovering insights with TME heterogeneity, immune cell infiltration, tumor-stroma interactions, and therapeutic resistance

12:30 pm Lunch Break

1:30 pm Unlock Novel Cancer Insights with Multi-scale Data Integration


  • Investigating the complexity, heterogeneity, and evolution of cancer involves various measurements, primarily through independent 1D, 2D, or occasional 3D analyses
  • Introducing PhenoScope, a multi-scale data integration and visualization platform that spans from genomes to tissues to organs and 3D digital twins
  • Offering a comprehensive approach, PhenoScope enables the interpolation of information across different scales and the temporal extrapolation of data in the study of cancer

2:00 pm Using Spatial Technology for Immuno-Oncology Antibody Development

  • Omar Jabado Principal Scientist, Translational Sciences, Genmab


• Detecting target expression in specific cell types in FFPE tumors

• T-cell pharmacodynamics and activation states in patients treated with PD1 inhibitor

• In-situ T-cell receptor diversity estimation to understand antigen specificity in the tumor microenvironment 

Conquering Logistical Challenges

2:30 pm Characterizing Tissue Response to Drug Therapies by Identifying Reliable Spatial Biomarkers With Imaging Mass Cytometry™


  • Employing in-depth multiplexed data for improved disease profiling and stratification, leading to more successful drug development outcomes
  • Simultaneously detecting mRNA and protein on the same tissue for enhanced spatial immune profiling
  • Creating consistent imaging results across varied tissue types, bypassing the complications of cyclic procedures and autofluorescence

2:40 pm Afternoon Break

3:10 pm Panel Discussion: Bridging Knowledge Gaps Between Different Generations of Scientists & Pathologists

  • Jonathan Lake Associate Director - Translational Pathology, Sciences & Diagnostics, Bristol-Myers Squibb
  • Anka Ehrhardt Director, Cell-Based Sciences,, Merck
  • Alice Wan Senior Scientist, Bioinformatics, Abbvie


• Improving collaboration between Scientists and Pathologists

• Educating clinical professionals about the principles and applications of spatial biology

• Exploring strategies to encourage pathologists to embrace spatial biology and facilitate their integration into the workflow

3:55 pm Attaining High Quality Human Samples While Overcoming Heterogeneity, Comparability, & Pre-Analytical Challenges

  • Shih-Ying Wu Advisor, Data Science and Bioinformatics, Eli Lilly and Company


• Evaluating heterogeneity and comparing lesions

• Highlighting the impact of different sample collection and preservation methods on downstream analyses and data interpretation

• Powering spatial biology studies with limited sample availability

4:25 pm Chair’s Closing Remarks & End of Conference

  • Jimena Trillo Director, Translational Pathology, Daiichi Sankyo, Inc