From EU-funded AI research to co-authored publications with leading sponsors, we explore how responsible technology improves quality, predictability, and oversight in clinical trials.
From EU-funded AI research to co-authored publications with leading sponsors, we explore how responsible technology improves quality, predictability, and oversight in clinical trials.
Microsoft Healthcare AI Certification
Validation of AI-supported oversight for enterprise-grade security, reproducibility, and traceable decision support — ensuring AI remains compliant and human-controlled.
→ Learn About Responsible AI
Mannheim Technical University
Joint validation of GxP-ready large-language models to ensure AI outputs remain clinically interpretable, explainable, and inspector-defensible.
→ Explore the Initiative
PUEKS Study
Evidence-based ground rules for RBQM: what accelerates adoption — and what blocks it — across TODAY’s clinical operations.
→ See Early Findings
RBQM in Rare Disease Trials (Poster)
Observational patterns showing where signal detection must adapt when populations are small and variability is high.
→ Download Poster
CRF Design for RBQM (Poster)
Bringing risk early into CRF design to reduce avoidable protocol deviations downstream.
→ Download Poster
Supply Chain Risk Intelligence Pilot
AI-TRIAL with Fraunhofer / LOEWE
Our validation approach ensures that predictive and generative models remain explainable, traceable, and GxP-defensible:
We convene the industry’s decision-makers to drive new standards and operational reality.
Responsible AI in Clinical Trials Summit
Global forum where regulators, sponsors, and CROs shape how AI enters GCP-compliant practice.
In-Person Leadership Roundtables
Focused, small-group dialogues where leaders can connect meaningfully and drive practical oversight progress.
Whether you bring real-world data, scientific expertise, or operational scale — together we deliver oversight that stands up to inspection and real-life complexity.
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