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Using Secure Multi-Party Computation to Create Clinical Trial Cohorts

Borges, Rafael; Ferreira, Bruno; Antunes, Carlos Machado; Maximiano, Marisa; Gomes, Ricardo; Távora, Vitor; Dias, Manuel; Bezerra, Ricardo Correia

The increasing volume of digital medical data offers substantial research opportunities, though its complete utilization is hindered by ongoing privacy and security obstacles. This proof-of-concept study explores and confirms the viability of using Secure Multi-Party Computation (SMPC) to ensure protection and integrity of sensitive patient data, allowing the construction of clinical trial cohorts. Our findings...

Data: 2025   |   Origem: IC-online

Threat Modeling a Health Web3 DApp

Gomes, Ricardo; Dinis, Daniela; Oliveira, João; Maximiano, Marisa; Távora, Vítor; Antunes, Carlos Machado; Dias, Manuel; Bezerra, Ricardo Correia

The healthcare sector increasingly explores Distributed Ledger Technology (DLT) and Health Web 3.0 Decentralized Applications (DApps) as promising solutions for patient-centric data management, data sovereignty, and privacy-preserving systems. Despite significant research at the intersection of blockchain and healthcare, current efforts predominantly address isolated technical challenges—focusing narrowly on sp...


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