Traceability in stem cell research: from participant sample to induced pluripotent stem cell and back

P-PBFT: An improved blockchain algorithm to support large-scale pharmaceutical traceability

To solve the problems of high latency, high system overhead, and small supported scale in the current application of pharmaceutical traceability combined with blockchain technology, an algorithm called Pharmaceutical-Practical Byzantine Fault Tolerance (P-PBFT) based on PBFT, grouping, and credit voting is proposed. The algorithm combines the characteristics of a pharmaceutical supply chain, optimizes the consistency protocol in the original algorithm, divides large-scale network nodes into different consensus sets by response speed, and performs grouping consensus. The algorithm's credit model and voting mechanism dynamically updates user status according to the behavior of nodes in consensus, evaluates the reliability of users, and also serves as a basis for electing management nodes. Experimental results show that the improved P-PBFT consensus algorithm provides smaller latency and higher throughput for pharmaceutical traceability systems, supports larger-scale traceability, effectively alleviates the dramatic increase in communication among network nodes, and reduces the influence of malicious nodes.

The European General Data Protection Regulation: challenges and considerations for iPSC researchers and biobanks

Increasingly, human induced pluripotent stem cells (iPSC) and their associated genetic and clinical information are being used in a wide range of applications, with large biobanks being established to support and increase their scientific use. The new European General Data Protection Regulations, which comes into effect in 2018, will have implications for biobanks that generate, store and allow research access to iPSC. This paper describes some of the challenges that iPSC biobanks face and suggests some points for the development of appropriate governance structures to address these new requirements. These suggestions also have implications for iPSC research in general.