Leveraging Digital Twins & Spatial Transcriptomics to Transform Modelling in Chronic Lung Disease

• Understand how digital twins can reconstruct disease progression from static tissue samples to enable deeper mechanistic insights with spatial transcriptomics and early discovery research
• Learn how integrating imaging data with multiomics enables more predictive and human-relevant preclinical models that better reflect disease heterogeneity and progression
• Explore how digital twin approaches can bridge the gap between discovery and clinical translation by improving patient stratification and informing more predictive model systems

Speakers:

Raul San Jose Estepar

Director, Applied Chest Imaging Laboratory, Lead Investigator, Brigham & Women’s Hospital, Associate Professor

Boston Children's Hospital