The RADAR-base Management Portal is a one-stop shop for managing remote patient monitoring studies. The portal is designed to facilitate easy and secure management of studies and data collected by wearable devices.
The Hyve recently developed visualization for germline mutations in cBioPortal OncoPrint. This feature was sponsored by AstraZeneca and has been shared with the community on www.cbioportal.org and on cBioPortal GitHub. Use case Inherited[…]
Last Wednesday, we held a meeting hosted by HealthRI at NKI in Amsterdam with representatives from several European health data networks that either have recently started or will soon start. Most of these networks are funded by national governments,[…]
The Hyve has started a new activity: webinars. Our first episode was on health data research infrastructures. This topic has been attracting a lot of attention recently. For instance, in Germany or Switzerland the government decided to invest in a[…]
The first OHDSI Symposium in Europe will be held in Rotterdam (NL) on March 23 2018, hosted by the Erasmus Medical Centre. As with previous international OHDSI symposiums, Maxim and Kees will attend the meeting. Stefan, Julia, Irina, and Marinel[…]
The OncoPrint view in cBioPortal is a user friendly visualization for genetic alterations. All types of data from a cancer genomic study are integrated in the OncoPrint view: in one overview you can see mutations, expression levels and copy number[…]
To simplify extraction of a specific data subset from a tranSMART data warehouse for analysis with Python or R, The Hyve developed both a tranSMART Python and a R client.
Data, especially real-world medical data, is eminently sensitive. What would happen if all the GPS tracking data of a research project would become public, along with identifiable information? Can data that has been polluted by a hacker still be[…]
One of the key challenges in cancer research is to find patients that will respond well to targeted drug therapy. Specific mutations in a patient’s tumor can be an indication of the patient’s potential responsiveness to such therapy.
This is an update of a previous blog post which listed four quick and easy tips. We have updated the old tips and added 2 new tips at the end of the post. Making your data “FAIR” is something you hear more and more. In the age of creating large[…]
