New Frontiers for Progress: Catalyzing Breakthroughs
Thank you to everyone who joined us in Amsterdam on Saturday, 27 September 2025 for our 4th annual OSIC Member Meeting & AI/Biomarker Innovation Showcase.
If you weren’t able to attend our Member Meeting & AI/Biomarker Innovation Showcase, or if you would like to revisit any of the sessions, a full recording is now available.
Highlights from the collaborative forum
This year’s meeting, chaired by Dr. Kevin Brown of National Jewish Health, was a day filled with bold ideas, breakthrough thinking, insightful presentations, and collaborative discussions — all focused on shaping the future of lung disease research.
The agenda highlighted key opportunities for progress — from bronchiectasis as a promising new therapeutic frontier to advancing sarcoidosis understanding through global registries and AI. Attendees learned about innovative imaging techniques like Optical Coherence Tomography (OCT) and gained insights from world-leading experts in generative AI, predictive modeling, and interpretability. The event closed with inspiring success stories from OSIC members who are turning data into discovery.
Our Panel Discussion Thought Leaders and Event Presenters
Bronchiectasis: A New Therapeutic Frontier
From Orphan Finding to Frontline Target
- Panelists
- Discussion Points
- Rising Global Prevalence & Burden: Why bronchiectasis is increasingly being recognized as a significant public health issue because of unmet need and the decline in quality of life
- Phenotyping & Endotyping Advances: Connecting imaging features with clinical subgroups to enable precision medicine approaches
- Overlap with Other Diseases: When bronchiectasis coexists with COPD, asthma, ILD, or post-infectious fibrosis
- AI & Quantification Opportunities: Automating airway measurements, mucus plugging scoring, and progression tracking
- Collaboration Call-to-Action: How OSIC members (pharma, machine learners, clinicians) can build a shared bronchiectasis resource
Sarcoidosis: From Complexity to Clarity?
- Discussion Points
- The Challenge: Sarcoidosis is complex, heterogeneous, and historically understudied.
- FSR’s Leadership: U.S. patient registry and partnership with OSIC; international registry planned for the future
- AI/ML Opportunities: Predicting progression, phenotyping multi-organ involvement, identifying novel biomarkers
- Engagement Opportunity: Inviting pharma and researchers to collaborate on future sarcoid AI initiatives
Showcase Presentation: Generative AI in Action
- Presenter
- Discussion Points
- Predictive power: Could interpretable survival models predict disease progression and patient outcomes than traditional methods?
- Interpretability at the core: Attention maps that show which lung regions drive predictions, helping clinicians trust results
- Cross-disease potential: Can be applied across fibrotic ILDs, bronchiectasis, and post-COVID fibrosis to build a multi-disease model
Beyond CT: How Optical Coherence Tomography Unlocks Microstructural Insight into Fibrosis
- Discussion Points
- Visualize healthy and diseased airway and lung microstructure in vivo over large volumes (as a form of vivo microscopy)
- Diagnose early lung disease at a microscopic level without needing invasive surgical biopsies
- Quantitatively measure changes over disease progression and therapy on a microscopic level
- Provide rich, quantitative data that could feed AI models for disease phenotyping and outcome prediction
- Can be used to diagnose and characterize many lung diseases, including fibrotic ILDs, COPD, small airways disease, bronchiectasis, and post-COVID fibrosis
Unlocking Innovation: Exploring New Features and Advanced Filters in the OSIC Cloud
- Discussion Points
- Overview of the latest enhancements to the OSIC Cloud platform, and how these features streamline data access and accelerate research workflows
- Demonstration of how new imaging filters and views, including tMPR and subpleural views, improve data visualization and analysis
- Exploration of the new collaboration tool designed for private cohort development
- Presentation of the live analytics dashboard for real-time insights
Turning Data Into Discovery:
The Achievements of OSIC Members with the OSIC Cloud’s Powerful Data
SEPI-IA: A Spanish, Publicly Funded Research Initiative
AI-Based Quantification of Airway Diseases: From Comprehensive Characterization to Phenotyping and Progression Tracking
- Discussion Points
- How can AI-based quantification of airway wall thickening, mucus plugging, and bronchiectasis provide meaningful patient phenotypes?
- Could longitudinal tracking of AI-based airway quantification provide more precise disease trajectory assessment?
- What value does this bring to patient stratification and measuring treatment response?
From core lab to clinic: improving patient care with AI imaging biomarkers
When virtual OSIC database becomes virtuOSIC
- Discussion Points
- The OSIC database was instrumental in developing an estimated FVC (eFVC) metric that can be calculated from chest HRCT scans.
- eFVC mimics real FVC measurements, demonstrating a high correlation validated in the separate cohort.
- eFVC shows promise as a tool for monitoring disease status, predicting progression, and assessing response to pharmaceutical treatments.
Thank you to everyone who joined us in Amsterdam on Saturday, 27 September 2025 for our 4th annual OSIC Member Meeting & AI/Biomarker Innovation Showcase.
If you weren’t able to attend — or would like to revisit any of the sessions — a full recording is now available.
Watch the Member Meeting Recording
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