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Translational Science in Pulmonary Fibrosis: From patients to cells and back—increasing success in drug development

Our next webinar will examine pulmonary fibrosis in a translational context, with a focus on the mechanisms driving lung fibrosis and the role of machine learning in patient stratification, especially in COPD and other fibrotic pulmonary disorders.

Join us for "Pulmonary Fibrosis in a Preclinical Context: Insights from Machine Learning and Translational Biomarkers," a webinar exploring new approaches to understanding and addressing pulmonary fibrosis.

The session will begin with an investigation into the mechanisms driving lung fibrosis, examining key processes that underlie this progressive condition. We will then delve into the role of machine learning in pulmonary research, highlighting its application for patient stratification and advanced analytics through a COPD case study.

Finally, discussions will focus on the use of translational biomarkers in drug development, offering insights into more targeted and effective therapies.
This webinar is designed for researchers, clinicians, and industry professionals interested in the latest translational strategies for tackling pulmonary fibrosis.

Webinars - ECM Congress (ecm-congress.org)
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​​​​​​​Agenda*
11.00 – 11:10 | Introduction

11.10 – 11:30 | Investigating fibrosis mechanisms – what drives fibrosis in the lungs? | Dr. Naftali Kaminski

11:30 – 11:50 | Leveraging machine learning for patient stratification and advanced analytics – a COPD case study | Line Egerod

11:50 – 12:10 | Utilizing translational biomarkers for drug development in fibrotic lung diseases | Dr. Federica Genovese

12:10 – 12:30 | Roundtable discussion and Q&A
*
All times EST. Presentation titles are only informational and subject to change.


Expected duration
90 minutes

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