Zhaohui Su, VP of Biostatistics at Ontada, shared a post on LinkedIn:
“At the European Society for Medical Oncology (ESMO) 2025 in Berlin, attended by approximately 37,000 clinicians, researchers, and others, AI emerged as a central theme. It reinforced AI’s potential in oncology, showcasing innovations that demonstrate how AI is transforming evidence generation, from foundation models trained on EHR data to AI-driven trial matching and decentralized trial designs.
Key highlights included:
- Â EBAI Framework: New guidance for validating AI-based biomarkers, ensuring clinical relevance and regulatory alignment.
- Â Digital Trials: AI-enabled tools enhancing retention, diversity, and data quality.
- Â TrialMatchAI: An open-source platform optimizing eligibility and accelerating enrollment.
- Â Synthetic Data & Federated Learning: Promising methods for privacy-preserving collaboration, with a focus on validation.
AI is no longer experimental; it is now integral. Future success will depend on transparency, rigorous validation, and collaboration to ensure AI enhances the integrity and impact of oncology research.
For more details, visit the link.”
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