The project aims to identify various usability factors and how they affect user’s perception of the trustworthiness of the blockchain-based record and their intentions to adopt this technology. The study also aims in increasing our current understanding of how usability affects users’ perception of the trustworthiness of blockchain technology for personal health data sharing. The resulting datasets and other reported design implications can be used in improving features in existing wallets leading to further blockchain-based health wallets in the healthcare industry.
Despite the growing interests and publications in metabolomics, there is a significant gap between what have been found through scientific studies and what have actually been applied in clinical practice and preventative healthcare. This proposed project aims to fill this gap by addressing two major causes; 1) lack of utilization in existing metabolomics data and published findings, and 2) lack of an accessible tool to collect samples for metabolomics data at home. The first issue is addressed by text mining of published studies and online databases using machine learning techniques.
To prevent and/or recover from pandemics Molecular You plans to use their MyPDx solution that runs over Hyperledger Indy, a self-sovereign identity and health data platform to provide access to researchers, machine learning and analytics applications to data. However, Hyperledger Indy compatible blockchains, such as Sovrin, suffer from scalability limitations. This means when the size of a network grows, message complexity grows exponentially along with memory and processing time, resulting in significant performance degradation.
Despite the growing interests and publications in metabolomics, there is a significant gap between what have been found through scientific studies and what have actually been applied in clinical practice and preventative healthcare. This proposed project aims to fill this gap by addressing two major causes; 1) lack of utilization in existing metabolomics data and published findings, and 2) lack of an accessible tool to collect samples for metabolomics data at home. The first issue is addressed by text mining of published studies and online databases using machine learning techniques.
Blockchains operate as perhaps the most promising system of trust for any type of digital transaction of value -- everything from cryptocurrencies to patient medical records. But a number of barriers -- involving social institutions, data and identity management and technological processes -- stand in the way of broader adoption. These challenges also ultimately speak to fundamental issues of trust and perceived legitimacy on the part of both service providers and their end users.
Recent advancements in the study of large biological datasets coupled with powerful machine learning tools and new analytical technologies have opened up the ability to predict risks to health and possibly intervene before disease has manifested. Molecular You has developed a web based interface that integrates all these technologies into easy to understand visual health report for consumers. However, many consumers do not need to worry about health risks, as they are relatively healthy and do not have any health risks identified by our platform.
Personalized health is increasingly gaining public attention in the media as the future of healthcare. Personalized health is the idea that medical treatment will be tailored to the individual based on their predicted response or risks of disease.
This multidisciplinary project will investigate the social, data, and technical issues surrounding design and implementation of a blockchain-based solution for the management of consent for the use of individuals omics data in medical research. Blockchains are distributed ledgers in which confirmed and validated blocks are organized in an append-only chain using cryptographic links.
An estimated 5-10% of cancers are inherited through family members. To identify patients risk for developing hereditary cancers, genetic testing can be used. Communicating hereditary cancer genetic results to patients is challenging for health care practitioners. Practitioners want to ensure that patients understand and communicate their preferences for receiving information. Tools to aid patients in communicating their preferences need to be developed.
Personalized health is increasingly gaining public attention in the media as the future of healthcare. Personalized health is the idea that medical treatment will be tailored to the individual based on their predicted response or risks of disease. Omics analysis, defined as the universal detection of different classes of biological molecules, has the potential to direct personalized health delivery and enhance lifestyle changes, such as changes in diet and exercise habits, that may prevent disease development.
