The Cancer Drug Development Forum (CDDF) is pleased to present key takeaways of our live webinar series on “AI and Big Data in Cancer Drug Development.” This series is designed to explore the transformative impact of artificial intelligence and big data on oncology.
The third webinar in the series “Transformation of future clinical trials using AI-enhanced imaging biomarkers” took place on 18 September 2025 at 17:00 CEST.
This webinar featured a lecture given by Prof. Joahnnes Haubold and was followed by a second presentation by Dr. Sasa Grbic (Siemens Healthineers). A panel discussion moderated by Prof. Rosa Giuliani (CDDF) and Prof. Ricky Sharma (Varian) followed thereafter.
Key Takeaways
- Body composition metrics derived from routine CT scans are emerging as predictors of clinical outcomes in patients with solid tumour’s
- AI tools can detect and quantify a range of imaging biomarkers and comorbidities, including lung nodules, emphysema, coronary artery calcifications, vertebral height loss, bone mineral density, and airspace opacities
- AI solutions have demonstrated potential to improve consistency and reproducibility across study sites and timepoints, ultimately contributing to more reliable trial outcomes
- AI tools might improve data quality, enhance trial efficiency, and support better stratification of participants in future clinical trials
To watch the recording of the webinar, click the link: https://www.youtube.com/watch?v=56V3RNrs1wA&list=PLdj1VzBi-OqmINVHgfkuknFcy_zg7Ric-
For speaker presentations, visit the CDDF website: https://cddf.org/events/past-events/cddf-meetings-2025/transformation-of-future-clinical-trials-using-ai-enhanced-imaging-biomarkers/