Oncology real-world evidence: overcoming challenges in Europe and APAC
AI-driven harmonization and SDEs are enabling faster, richer, and more collaborative insights to advance cancer research.
Check out the latest thinking from our team — explore our blog, read white papers, watch videos, and more.
AI-driven harmonization and SDEs are enabling faster, richer, and more collaborative insights to advance cancer research.
Dr. Kamal-Uddin discusses how Real-World Data has the power to transform how we understand and treat rare diseases.
It’s time to rethink how you use Real-World Data: Trusted Research Environments empower faster trials, lower costs, and secure, compliant collaboration.
From AI-powered RWD to secure data environments, BC Platforms’ ASCO 2025 abstracts highlight the next frontier in lung cancer research.
The CIAN LUNG cohort is a multicentric initiative using clinical, imaging, and biomarker data to generate Real-World Evidence and advance lung cancer research.
A new methodology from the CIAN LUNG cohort demonstrates how real-world data can be used to estimate progression-free survival in non-small cell lung cancer.
This study explores how radiomic features from CT scans can improve prediction of progression-free survival in stage IV non-small cell lung cancer.
Secure Data Environment technology enables dynamic patient cohorts that continuously update real-world evidence from EMR data across global hospital networks.
The ARTEMIs Project is leading the development of hybrid infrastructure and data-driven tools to advance personalized care for patients with MASLD.