This talk introduces Trustworthy Computing as a shift toward systems built on verifiable, transparent, and privacy-respecting foundations. Using blockchain and AI, it explores real-world impacts—from food safety and identity protection to AI transparency and machine unlearning—emphasizing the transition from reputational trust to algorithmic trust in everyday digital life. Health care and Life Sciences professionals will find particular relevance in applications that enhance drug authenticity, patient data privacy, and AI reliability in decision-
making.
Title: TBA
Eric Vivien, Attaché for Science and Technology, Consulate General of France, Boston
AI in Precision Medicine: Practical Gains, Real Costs, and Next-Gen Protocols
David Stefanich, Waivdx.ai
Blockchain and AI, Where’s the Fit for Healthcare?
- Jim Nasr, CEO, Acoer
- Eric Piscini, CEO, Hashgraph
This discussion will present practical insights for healthcare leaders, technologists, and
innovators seeking to understand where blockchain and AI converge to solve real problems in
medicine. Audience Q&A will address the most pressing questions from attendees navigating
these rapidly evolving technologies.
Explore how decentralized infrastructure is finding its place in healthcare systems, from securing
patient data to enabling new models of medical research collaboration. Discover how distributed
ledger technology could provide the missing pieces to ensuring model transparency, maintaining
data lineage, proving patient consent, and establishing robust governance frameworks for AI
systems handling sensitive medical information.
The conversation will also dive into the emerging field of Decentralized Science (DeSci),
examining which approaches are gaining traction and where the movement faces obstacles. From
tokenized research funding to blockchain verified clinical trials, we'll separate the promising
developments from the persistent challenges.