megNet®: Visualization and modelling environment for translational medicine

Matej Orešič (Corresponding Author), Jyrki Lötjönen, Catherine Bounsaythip

Research output: Contribution to journalArticleProfessional

Abstract

There has long been a consensus that there is a pressing need to bridge the gap between basic and clinical sciences, to ensure that basic research discoveries of potential relevance to patient care are effectively applied. This is a formidable challenge to implement. One of the key problems is the lack of a framework or model that would link clinically relevant information to the knowledge obtained
across multiple disciplines, experimental platforms and biological systems.
Original languageEnglish
Pages (from-to)32-34
JournalERCIM News
Issue number69
Publication statusPublished - 2007
MoE publication typeD1 Article in a trade journal

Fingerprint

Dive into the research topics of 'megNet®: Visualization and modelling environment for translational medicine'. Together they form a unique fingerprint.

Cite this