Rosetrees 2017 Interdisciplinary Prize

Rosetrees is delighted to announce that the joint winners of the 2017 Interdisciplinary prize are Edinburgh University and Hebrew University, Jerusalem. The theme of the 2017 Rosetrees Interdisciplinary Prizes is to promote collaborative research between medicine and engineering. This year the quality of the applications was outstanding and it was not possible to pick one winner. Dr. James Dear and Dr. Maiwenn Kersaudy-Kerhoas will lead the team at Edinburgh University who will develop a prototype device to rapidly diagnose drug-induced liver damage. At Hebrew University, Professor Yaakov Nahmias and Professor Nir Friedman will model the circadian dynamics of human metabolism using an advanced organ-on-chip platform.


Richard Ross, Chairman of the Rosetrees Trust, said:

Each year Rosetrees seeks the best research to support and every year the quality is a little better. This year the judging panel found it extremely hard to choose a winner because there were so many outstanding projects. Well done to Edinburgh University and Hebrew University, Jerusalem and thank you to the many high quality applicants to whom we wish luck in attaining funding for their exciting projects.



Dr. James Dear, Lead Investigator at Edinburgh, said:

Our project will make a new device to rapidly measure a new class of blood test. This microRNA can diagnose liver damage from drugs more accurately than current tests. Funding from the Rosetrees Trust will bring together doctors and engineers to solve this challenge.


Professor. Yaakov Nahmias, Lead Investigator at Hebrew University, said:

The Rosetrees Trust Interdisciplinary Prize is instrumental in bringing scientists of different disciplines together.  It will enable us to not only build a groundbreaking model of human physiology on a chip, but also to leverage the advanced computational resources needed to understand the vast amount of data our platform will generate in  the hope of developing critical new therapies for metabolic disease such as obesity and diabetes.

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