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Development of Clinical/Digital Trail research hub using blockchain encryption for identity security

  • Full or part time
  • Application Deadline
    Saturday, March 28, 2020
  • Funded PhD Project (Students Worldwide)
    Funded PhD Project (Students Worldwide)

About This PhD Project

Project Description

This PhD programme will involve the use of cutting edge bioinformatic, AI, Machine learning and clinical research using blockchain and the Shivom technology.

The Horizon2020 TranSys programme allowing for the creation of clinical trial/digital clinical trial research hub. Allowing companies to connect globally with individuals that correspond to a given trial programme, based on many aspects of their metadata (phenotypic, genotypic and general physical information). Access will be on-chain (blockchain) encryptions and run via the Shivom platform.

1. Developing the project protocol and documentation along with real-time data.
2. Developing the necessary regulatory frameworks and finalizing all compliance and ethical submissions, following feasibility analyses.
3. Closely working together with medical professionals, pharma and biotech companies to present the value proposition of the product and encourage its wide-spread use.
4. Use results as guidance for conducting economic impact analysis of treatment decisions.

Funding notes

TranSYS will recruit 15 ESRs to highly skilled jobs in the new area of Systems Health developing tools and approaches to exploit large and complex datasets, to advance Precision (Personalised) Medicine in several disease areas. The training programme and experience of different international research environments cuts across traditional data and life sciences silos. The emphasis on translational research will support new collaborations between academics and the pharma and health analytics sectors. Our ESR projects will advance the state of the art on biomarker discovery, improve understanding of disease-specific molecular mechanism and target identification for optimal diagnostics, disease risk and treatment management, , refine data generation and their management (including warehousing, disease specific and standardised approaches for data processing, visualisation and model development) leading to improved clinical study design, clinical sampling and more targeted therapeutics. This ETN will internationalise participants, and leverage EC and industry sponsorship, to structure and expand the unique training programme and advance emerging research areas, combining wet-lab, clinical and Big Data resources with computational and modelling know-how.

To achieve a paradigm shift in research training this ETN brings together international leaders in Preclinical Science & Molecular Medicine, Systems Analytics, and Targeted Therapeutics, from academia and industry. These experts are ideally positioned to develop the proposed training programme and deliver a highly-trained workforce of next generation scientists, with the right mind-set, knowledge and skills, at the interface of Translational and Systems Medicine. The TranSYS training programme is designed to addresses a critical skills gaps that is currently a bottle- neck to advancing Precision Medicine.

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