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A digital platform for Precision Medicine

Funded by the Norwegian Research Council and a handful of dedicated partners, we aim to create a platform to help nourish an expanding ecosystem of partners from the clinical, academic and commercial worlds.

About us

Recent Projects

Final project report

Final project report

Reflections on the clinical implementation of precision medicine - Experiences from BigMed, a Norwegian ICT Lighthouse project
Implementing Molecular Diagnostics in Clinical Oncology

Implementing Molecular Diagnostics in Clinical Oncology

With the advent of NGS technologies, targeted immunotherapies, and biomarker-based interventions, clinical oncology is one of the areas of medicine with the highest potential impact for precision medicine approaches. New therapies and
Asynchronous Matchmaker exchange - a digital solution for sharing experiences on rare genomic variants

Asynchronous Matchmaker exchange - a digital solution for sharing experiences on rare genomic variants

The Matchmaker Exchange (MME) can be seen as a part of the first steps towards the GA4GH vision of an "Internet of genomics" and has recently been implemented at Oslo University Hospital.
National Competence network for use of artificial intelligence in healthcare

National Competence network for use of artificial intelligence in healthcare

BigMed is part of starting up a national network for AI in healthcare with several groups from all over the country.  The network is bottom up driven and the purpose is to share competence and build on each others' experiences. The

Oslo Health Hackathon 2019

Oslo Health Hackathon 2019

I perioden januar til april i 2019 arrangerte BigMed et Oslo Health Hackathon i samarbeid med Kreftforeningen, Acando og DNV GL for å øke rekruttering av teknologer til helse, øke bevissthet rundt verdien av åpne datasett og med en

Reporting to the national cancer registry within the EHR

Reporting to the national cancer registry within the EHR

Through the BigMed project, we have developed a solution to report data to the national quality register for colorectal cancer automatically from the EHR.