On the Design of a Blockchain Platform for Clinical Trial and Precision Medicine

This paper proposes a blockchain platform architecture for clinical trial and precision medicine and discusses various design aspects and provides some insights in the technology requirements and challenges. We identify 4 new system architecture components that are required to be built on top of traditional blockchain and discuss their technology challenges in our blockchain platform: (a) a new blockchain based general distributed and parallel computing paradigm component to devise and study parallel computing methodology for big data analytics, (b) blockchain application data management component for data integrity, big data integration, and integrating disparity of medical related data, (c) verifiable anonymous identity management component for identity privacy for both person and Internet of Things (IoT) devices and secure data access to make possible of the patient centric medicine, and (d) trust data sharing management component to enable a trust medical data ecosystem for collaborative research.

[1]  Silvio Micali,et al.  The knowledge complexity of interactive proof-systems , 1985, STOC '85.

[2]  Torben Bjerregaard Larsen,et al.  Vascular Disease and Risk Stratification for Ischemic Stroke and All-Cause Death in Heart Failure Patients without Diagnosed Atrial Fibrillation: A Nationwide Cohort Study , 2016, PloS one.

[3]  Elaine Shi,et al.  On Scaling Decentralized Blockchains - (A Position Paper) , 2016, Financial Cryptography Workshops.

[4]  Fergal Reid,et al.  An Analysis of Anonymity in the Bitcoin System , 2011, PASSAT 2011.

[5]  A. Spalice,et al.  Stroke and migraine is there a possible comorbidity? , 2016, Italian Journal of Pediatrics.

[6]  Fan Zhang,et al.  Town Crier: An Authenticated Data Feed for Smart Contracts , 2016, CCS.

[7]  Christopher S. Parshuram,et al.  Registration and design alterations of clinical trials in critical care: a cross-sectional observational study , 2014, Intensive Care Medicine.

[8]  Yu-Chi Tung,et al.  The Relationships Among Regionalization, Processes, and Outcomes for Stroke Care , 2016, Medicine.

[9]  William L. Goffe,et al.  Multi-core CPUs, Clusters, and Grid Computing: A Tutorial , 2005 .

[10]  Manik Lal Das,et al.  Two-factor user authentication in wireless sensor networks , 2009, IEEE Transactions on Wireless Communications.

[11]  Ben Goldacre,et al.  How to Get All Trials Reported: Audit, Better Data, and Individual Accountability , 2015, PLoS medicine.

[12]  Ghassan O. Karame,et al.  Evaluating User Privacy in Bitcoin , 2013, Financial Cryptography.

[13]  P. Mell,et al.  The NIST Definition of Cloud Computing , 2011 .

[14]  Jr-Rung Lin,et al.  Prediction of in-hospital stroke mortality in critical care unit , 2016, SpringerPlus.

[15]  Chaitanya Katikala.  The Hacker ’ s Code : Finding Bitcoin Thieves Through the Similarity and Status Claims Between Users , 2013 .

[16]  Elaine Shi,et al.  Hawk: The Blockchain Model of Cryptography and Privacy-Preserving Smart Contracts , 2016, 2016 IEEE Symposium on Security and Privacy (SP).

[17]  Manuel Blum,et al.  Non-interactive zero-knowledge and its applications , 1988, STOC '88.

[18]  Ernest F. Brickell,et al.  Direct anonymous attestation , 2004, CCS '04.

[19]  Der-Cherng Tarng,et al.  Stroke and Risks of Development and Progression of Kidney Diseases and End-Stage Renal Disease: A Nationwide Population-Based Cohort Study , 2016, PloS one.

[20]  James Sexton,et al.  Enabling High-Performance Computing as a Service , 2012, Computer.

[21]  Kensuke Kawai,et al.  Manufacture of patient-specific vascular replicas for endovascular simulation using fast, low-cost method , 2016, Scientific Reports.

[22]  Alex Pentland,et al.  Verifiable Anonymous Identities and Access Control in Permissioned Blockchains , 2019, ArXiv.