Daily Archives: November 23, 2017

The Challenge Death certificates provide an invaluable source for mortality statistics, which can be used for surveillance and early warnings of increases in disease activity and to support the development and monitoring of prevention or response strategies. However, this value can be realised only if timely, accurate and quantitative data is extracted from death certificates, […]

Pathology notification for a Cancer Registry is regarded as the most valid information for the confirmation of a diagnosis of cancer. The development of a clinical decision support system to unlock information from medical free-text can significantly reduce costs arising from manual processes and enable improved decision support, enhancing efficiency and timeliness of cancer information […]

Our research has developed advanced natural language processing, information retrieval, and machine learning approaches to overcome the problems of ‘understanding and reasoning with clinical data’. Medical Free Text Retrieval & Analytics The majority of health data is recorded in unstructured free-text; clinical examination reports, nursing notes, discharge summaries, death certificates are just some examples. This […]

Minimises overhead for set up and processing of new projects. NGSANE We developed NGSANE [2], a Linux-based, HPC-enabled framework that minimises overhead for set up and processing of new projects yet maintains full flexibility of custom scripting and data provenance. NGSANE process raw sequencing data either on a local cluster or third party Compute Cloud […]

  Genomic information is increasingly being used for medical research, giving rise to the need for efficient analysis methodology able to cope with thousands of individuals and millions of variants. The widely used Hadoop MapReduce architecture and associated machine learning library, Mahout, provide the means for tackling computationally challenging tasks[1,2]. However, many genomic analyses do […]

Osteoarthritis (OA) is a joint disease that is characterized by breakdown of joint cartilage and underlying bone. Traumatic injuries, such as a tear of the anterior cruciate ligament (ACL) increases the risk of developing OA and provide a targeted way to investigate early pathophysiological changes in cartilage and intervene in a disease process. Our current […]

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