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Category Archives: Personal Health Train

SME Forum “distributed data analysis – the (health) data train” 10-11 October 2019 in Utrecht

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Are you a researcher or professional in the healthcare sector or in agrifood, biotech or nature preservation collaborating with colleagues outside your organisation? Are you facing challenges in working with data generated outside your own lab? Are you involved in making data management and data sharing more effective in your organisation? Or are you just interested to learn more about… Continue reading →

Ethical, legal and social implications of preventative medicine

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Preventative medicine is not without costs, and not just financial ones. Genetic testing, in particular, raises difficult questions. The upcoming Health-RI Conference (Jan 17, 2019) on P4 Medicine explores some of the issues. At first sight, preventative medicine looks like a no-brainer. As the saying goes, prevention is better than cure. In reality, however, preventative medicine can lead to difficult… Continue reading →

Dutch Ministry of Health sees perspectives for FAIR and Personal Health Train to employ data to serve health

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In close consultation with the health care and research field, Dutch Minister of Medical Care and Sports Bruno Bruins has developed a vision how data can be employed to serve health. November 15th, he has shared his vision with the Dutch Parliament.  <Klik hier voor Nederlandstalige versie> In his letter to the Parliament Bruins writes: “Employing data for health needs… Continue reading →

Reuse of clinical data for research: overcoming the hurdles

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The systems of the eight Dutch UMCs contain a wealth of patient data, such as medical images, physical examination results, and treatment outcomes. “These data have been collected to diagnose and treat patients, but we can reuse them to answer important research questions. However, reusing clinical data is not as simple as you may think. In addition to concerns about… Continue reading →

The first Data4lifesciences symposium: a report

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On 11 September 2017, the Centraal Museum in Utrecht hosted the very first Data4lifesciences symposium. D4LS Programme Manager Dr Jan-Willem Boiten: “This symposium was an important milestone for the programme; we presented an overview of our first results.” The NFU programme Data4lifesciences (D4LS) aims to realise an integrated research data infrastructure for biomedical research at the Dutch UMCs. DTL is actively involved… Continue reading →

Personal Health Train and FAIR data presented at ICTU Cafe

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On 19 April 2017, Peter-Bram ‘t Hoen (Associate Professor Bioinformatics at LUMC) gave a presentation at the ‘ICTU Cafe’ on contemporary innovations. He highlighted how big and small data can help personalise healthcare and discussed the personal health train project and the FAIR data principles. Read more in this news item about the ICTU Cafe (in Dutch).

Personal Health Train workshop: a report

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On 10 November 2016, the people behind the Personal Health Train (PHT) (André Dekker of Maastro Clinic and Peter-Bram ’t Hoen of LUMC) and PRANA-Data (Wessel Kraaij of TNO) organised a workshop in Utrecht. PRANA-Data is a COMMIT project. The PHT initiative aims to increase the use of existing biomedical data for research into personalised health and medicine. During the day, over 30 people discussed technical solutions… Continue reading →

Topsector LSH funds FAIR-dICT project to tackle challenges in data driven science & innovation

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DTL-Data Projects was awarded funding from Topsector Life Sciences & Health to address scientific and technical hurdles on the path towards optimal use of scientific data for personalised health, disease prevention and care. Scientific data are typically scattered, hard to locate, with often unclear accessibility conditions. They are  frequently not interoperable and can thus not be utilised by researchers outside… Continue reading →

Vision on Open Science

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DTL supports Open Science: an umbrella term for a technology and data driven systemic change in how researchers work, collaborate, share ideas, disseminate and reuse results, by adopting the core values that knowledge should be reusable, modifiable and redistributable. One fundamental requirement for Open Science is that all research data  and the associated tools and services should be Findable, Accessible, Interoperable and Reusable (i.e. FAIR).  However, securing the ‘technicalities’… Continue reading →

PRANA-DATA approved in COMMIT to COMMIT2DATA ‘Swallow’-Call

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The COMMIT Public Private ICT Research Community has issued a call for Swallow projects. These projects are intended to enable technology transfer from the current, almost finished COMMIT/Programme to the new public-private COMMIT2DATA programme (ICT-Topsector programming 2016-2019). The Personal Health Train team co-authored the Privacy Respecting ANAlysis of Distributed patient health DATA (PRANA-DATA) project. This project with TNO (lead), Radboud… Continue reading →