Blog

Next Trials: Federated Oncology, EHR Safety, Synthetic Controls, CDISC

Practical Q&A on federated oncology datasets, real-time EHR safety streams, synthetic control arms with longitudinal RWD, and CDISC-compliant pipelines — with global regulatory tips for site teams.

Federated Learning & Adaptive Randomization for Breast Cancer RWD

Explore how federated learning and adaptive randomization unlock multicenter breast cancer insights, with practical steps, industry views, and advocacy perspectives.

Case Studies: Federated Stroke, EHR-to-CDISC Oncology & Psilocybin

Through Marie's story, discover how federated stroke analytics, EHR-to-CDISC oncology pipelines, predictive recruitment for hypertension and MS, and privacy-preserving psilocybin studies improve outcomes and make trials more accessible to seniors.

Future Trials: Bayesian Oncology, Wearables & Recruitment Governance

How Bayesian adaptive analytics, wearable telemetry and predictive recruitment models will cut oncology trial timelines and reshape governance for multinational academic sponsors.

From Federated Analytics to Seasonal Recruitment: Privacy Trends

An analytical look at how federated analytics, registry-derived synthetic controls, seasonal recruitment models, and privacy-preserving pipelines are reshaping trial design, with operational lessons and implications for patients and parents.