Amy Krause's blog
Posted: 1 Jul 2019 | 10:48
Gout is estimated to affect 2.5% of the UK population, and is increasing globally in association with cardiovascular disease and obesity. EPCC has been working with Dr Philip Riches of the MRC Institute of Genetics and Molecular Medicine to develop a new app that could lead to improved treatment and better quality of life for patients.
Gout is a type of arthritis caused by excess uric acid in the blood. It is characterised by sudden attacks of intense pain that result in reduced quality of life, work absence and disability. The standard treatment for the condition involves close monitoring of blood urate levels and medication, but the high level of health professional support required to ensure a long term cure of gout is rarely delivered: fewer than half of eligible patients receive preventive treatment and fewer than half of those on treatment receive an adequate dose of medication.
Posted: 24 Apr 2017 | 11:21
Recent devastating earthquakes in Nepal and Italy have illustrated the need for better understanding and more accurate operational forecasting of aftershock sequences to assist emergency response. This project is a multi-disciplinary collaboration to develop risk assessments for earthquake aftershocks using dense networks of traditional seismometers, and to explore the use of mobile phones as sensors and for community engagement.
Posted: 8 Jul 2016 | 14:48
Modern genome-sequencing technologies are easily capable of producing data volumes that can swamp a genetic researcher’s existing computing infrastructure. EPCC is working with the breeding company Aviagen to build a system that allows such researchers to scale up their data infrastructures to handle these increases in volume without compromising their analytical pipelines.
Posted: 17 Jun 2014 | 15:00
After several years of working with users who are not computer scientists (seismologists and geoscientists), we have realised two main points: these communities usually have problems that should be addressed with parallel computing, but they don't often have the skills and training to do so. We set out to build a programming library, Dispel4Py, that both enables users to easily write a description of a data-processing application and takes care of running that application in different parallel environments.