A*STAR I²R Events
Accelerating AI and Digital Health Innovation
09 Jun 2022
Jointly organised by A*STAR I²R’s Fides Programme and Ministry of Health (MOH), this workshop explored cutting-edge privacy-preserving technologies, including homomorphic encryption, federated learning, and confidential computing, that provide trusted solutions for healthcare. Applications ranged from data anonymisation to secure multi-party collaborations and AI model development.
Participants were invited to submit use cases before the workshop for discussion on potential proof-of-concept projects.
Key discussion areas included:
1. Data and Analytics Collaboration: Strategies for maintaining privacy while conducting joint analyses with untrusted parties, including cross-border collaborations.
2. Effective Privacy for Implicit PII: Techniques to protect personally identifiable information in health data, such as genomics and medical images, with minimal data alteration.
3. AI Model Privacy and Governance: Ensuring that sensitive data remains secure during AI model training and inference, even when using external models.
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