The AI in Business Podcast The Evolving Role of AI in Modernizing Clinical Trials - with Xiong Liu of Novartis
Jun 4, 2025
Xiong Liu, Director of Data Science and AI at Novartis, shares his expertise in modernizing clinical trials with AI. He discusses how AI streamlines data workflows and enhances study readiness while ensuring regulatory compliance. The conversation highlights the shift towards decentralized trials, the innovative use of AI to predict COVID-19 patient outcomes, and the transformative power of federated learning in healthcare. Liu emphasizes the importance of integrating diverse data sources and building patient trust as AI reshapes drug development.
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AI Enhances Decentralized Trials
- Decentralized clinical trials (DCTs) improve efficiency and patient accessibility by enabling trials at homes and local hospitals.
- AI enhances DCTs through patient enrollment targeting, remote data integration, and continuous patient monitoring.
Federated Learning for COVID-19
- Hospitals use federated learning to predict COVID-19 patient outcomes while preserving data privacy.
- Each hospital trains local models and shares only model parameters to improve a global predictive model.
AI Tackles Trial Diversity Issues
- Patient population diversity and representativeness remain major challenges in clinical trials.
- AI can help improve diversity via social media targeting, geospatial analytics, and patient registry analysis.