Tsung-Ting Kuo, PhD
Cards
About
Faculty of Biomedical Informatics & Data Science and of Surgery
Research
Overview
Our research focused on biomedical blockchain that can advance research by data sharing. Currently, state-of-the-art data sharing and analysis frameworks across multiple healthcare systems are mostly still centralized. This centralization carries several risks at the central server, such as single-point-of-failure and data mutability. To improve the security and robustness of data sharing/analysis frameworks, we focus on designing and implementing advanced methods on decentralized blockchain networks. Blockchain is a distributed ledger/database technology adopted by Bitcoin and other cryptocurrencies. We aim at developing novel approaches that can enhance the security and robustness of data sharing/analysis from multiple medical institutions through a distributed system.
Medical Research Interests
Academic Achievements & Community Involvement
News & Links
News
- February 05, 2025Source: Nature Communications
Distributed Cross-Learning for Equitable Federated Models - Privacy-Preserving Prediction on Data from Five California Hospitals
- January 29, 2025
Advancing Privacy in Biomedical Data Sharing: Yale BIDS Leading the Charge
- June 18, 2024
Blockchain Trainee Headed to Med School
- February 27, 2024
Federally Funded Researcher Tsung-Ting (Tim) Kuo, PhD Brings AI, Machine Learning Expertise to Yale Surgery