Research

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Synthetic Biology underpins advances in the bioeconomy

Biological systems - including the simplest cells - exhibit a broad range of functions to thrive in their environment. Research in the Imperial College Centre for Synthetic Biology is focused on the possibility of engineering the underlying biochemical processes to solve many of the challenges facing society, from healthcare to sustainable energy. In particular, we model, analyse, design and build biological and biochemical systems in living cells and/or in cell extracts, both exploring and enhancing the engineering potential of biology. 

As part of our research we develop novel methods to accelerate the celebrated Design-Build-Test-Learn synthetic biology cycle. As such research in the Centre for Synthetic Biology highly multi- and interdisciplinary covering computational modelling and machine learning approaches; automated platform development and genetic circuit engineering ; multi-cellular and multi-organismal interactions, including gene drive and genome engineering; metabolic engineering; in vitro/cell-free synthetic biology; engineered phages and directed evolution; and biomimetics, biomaterials and biological engineering.

Publications

Citation

BibTex format

@article{Hurault:2018:10.1111/bjd.16916,
author = {Hurault, G and Schram, M and Roekevisch, E and Spuls, P and Tanaka, RJ},
doi = {10.1111/bjd.16916},
journal = {British Journal of Dermatology},
pages = {1003--1005},
title = {Relationship and probabilistic stratification of EASI and oSCORAD severity scores for atopic dermatitis},
url = {http://dx.doi.org/10.1111/bjd.16916},
volume = {179},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The Harmonizing Outcome Measures for Eczema (HOME) recommended the Eczema Area and Severity Index (EASI) as the core outcome instrument for measuring the clinical signs of atopic dermatitis (AD). However, EASI may not have been used in previous clinical trials, and other scores, e.g. SCORAD (SCORing Atopic Dermatitis), the objective component of SCORAD (oSCORAD) and the Investigator Global Assessment (IGA), remain widely used. It is useful to establish a method to convert these scores into EASI to compare the results from different studies effectively. Indeed, EASI and oSCORAD have been found to be strongly correlated (rSpearman=0.92)7, suggesting a possibility to find a relationship between the two scores.
AU  - Hurault,G
AU  - Schram,M
AU  - Roekevisch,E
AU  - Spuls,P
AU  - Tanaka,RJ
DO  - 10.1111/bjd.16916
EP  - 1005
PY  - 2018///
SN  - 1365-2133
SP  - 1003
TI  - Relationship and probabilistic stratification of EASI and oSCORAD severity scores for atopic dermatitis
T2  - British Journal of Dermatology
UR  - http://dx.doi.org/10.1111/bjd.16916
UR  - https://onlinelibrary.wiley.com/doi/full/10.1111/bjd.16916
UR  - http://hdl.handle.net/10044/1/61265
VL  - 179
ER  -
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