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.
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Can real-world data power faster breakthroughs in rare diseases?
Dr. Kamal-Uddin discusses how Real-World Data has the power to transform how we understand and treat rare diseases.
Can TREs actually scale up healthcare data use?
It’s time to rethink how you use Real-World Data: Trusted Research Environments empower faster trials, lower costs, and secure, compliant collaboration.
ASCO 2025: Advancing lung cancer research through Real-World Data and radiomics
From AI-powered RWD to secure data environments, BC Platforms’ ASCO 2025 abstracts highlight the next frontier in lung cancer research.
Relevance and specificity of the CIAN Lung cohort for clinical research analyses in cancer
The CIAN LUNG cohort is a multicentric initiative using clinical, imaging, and biomarker data to generate Real-World Evidence and advance lung cancer research.
Methodology for estimation of progression-free survival in patients with NSCLC
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.
Impact of radiomic features on prediction of progression-free survival in patients with NSCLC
This study explores how radiomic features from CT scans can improve prediction of progression-free survival in stage IV non-small cell lung cancer.
Dynamic longitudinal patient cohorts using hospital EMR data to generate RWE
Secure Data Environment technology enables dynamic patient cohorts that continuously update real-world evidence from EMR data across global hospital networks.
ARTEMIs: advancing liver disease research through virtual twin technology
The ARTEMIs Project is leading the development of hybrid infrastructure and data-driven tools to advance personalized care for patients with MASLD.