We are specialists in the fields of health care.
We integrate patented blockchain technology to support smart consents and data access control. Allowing hospital legal teams, Institute Review Boards and sponsors to track research studies, clinical trials and advanced care continuously while respecting full privacy of the patients.
We provide a fully managed infrastructure and expertise to set up the blockchain trust network between IRBs, hospital and research institution. We provide either a full user friendly and/or integration with provider existing consenting system and the electronic medical record such as Epic or Cerner.
Interesting facts about our specialists
Dr. Yelena Yesha
Chief Executive Officer
Co-Founder, Distinguished University Professor, CSEE, UMBC
Dr. Eliot Siegel
Chief Medical Officer
Co-Founder, Professor of Radiology and Vice Chair of research Information Systems at University of Maryland
Anthony P. Deasey
Chief Financial Officer
Co-Founder/Chief Operating Officer. Seasoned C-Level executive with substantial Med-tech experience
BEAT: Asynchronous BFT Made Practical
We present BEAT, a set of practical Byzantine fault-tolerant (BFT)protocols for completely asynchronous environments. BEAT is flex-ible, versatile, and extensible, consisting of five asynchronous BFTprotocols that are designed to meet different goals (e.g., differentperformance metrics, different application scenarios). Due to mod-ularity in its design, features of these protocols can be mixed toachieve even more meaningful trade-offs between functionalityand performance for various applications. Through a 92-instance,five-continent deployment of BEAT on Amazon EC2, we show thatBEAT is efficient: roughly, all our BEAT instances significantlyoutperform, in terms of both latency and throughput, HoneyBad-gerBFT, the most efficient asynchronous BFT known.
BChain: Byzantine Replication with High Throughput and Embedded Reconfiguration
In this paper, we describe the design and implementation of BChain, aByzantine fault-tolerant state machine replication protocol, which performs com-parably to other modern protocols in fault-free cases, but in the face of failurescan also quickly recover its steady state performance. Building on chain replica-tion, BChain achieves high throughput and low latency under high client load. Atthe core of BChain is an efficient Byzantine failure detection mechanism calledre-chaining, where faulty replicas are placed out of harm’s way at the end ofthe chain, until they can be replaced. Our experimental evaluation confirms ourperformance expectations for both fault-free and failure scenarios. We also useBChain to implement an NFS service, and show that its performance overhead,with and without failures, is low, both compared to unreplicated NFS and otherBFT implementations.