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Northwest Institute for Bio-Health Informatics. Launch Event Chancellor’s Conference Centre, Manchester 6 th June 2005 “ Informatics for understanding health and life, from genes to society ”. Welcome. Today’s NIBHI event is designed to provide: Ice-breaker talks & posters
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Northwest Institutefor Bio-Health Informatics Launch Event Chancellor’s Conference Centre, Manchester 6th June 2005 “Informatics for understanding health and life, from genes to society”
Welcome Today’s NIBHI event is designed to provide: • Ice-breaker talks & posters • Space for networking • Initiate a series of events promoting Northwest science underpinned by bioinformatics and health informatics
Mission “Informatics for understanding life and health from genes to society” • An environment for informatics scholarship across biological, clinical and public health research applications • Grand challenge is multi-scale integration ofbio-health research ‘from genes to society’ • Host research; provide training for research; develop infrastructure
Fundamental and Allied Sciences mathematics, computer science, engineering, humanities Bioinformatics Health Informatics Epidemiology Biology Healthcare Bio-Health Informatics multi-scale discovery across disciplines
Fundamental and Allied Sciences mathematics, computer science, engineering, humanities Bioinformatics Health Informatics Epidemiology Training in bioinformatics research methods and software – set in health contexts Biology Healthcare Bio-Health Informatics multi-scale discovery across disciplines
Fundamental and Allied Sciences mathematics, computer science, engineering, humanities Bioinformatics Health Informatics Epidemiology Data management and analytical support for genetic epidemiology – with CIGMR& UK Biobank Biology Healthcare Bio-Health Informatics multi-scale discovery across disciplines
Fundamental and Allied Sciences mathematics, computer science, engineering, humanities Bioinformatics Health Informatics Epidemiology Build capacity in public health informatics Co-develop systems for epidemiological investigation across multiple sources of data – facilitating study of emerging determinants of health and risk factor interactions, and estimation of potential health gain Biology Healthcare Bio-Health Informatics multi-scale discovery across disciplines
From short-fat to tall-fat 3-yr-olds over 16y Source: Buchan et al. pre-publication
Fatness has become more persistent in young children 0.65 0.60 0.55 Pearson correlation of BMI within individuals 0.50 0.45 0.40 1990 1992 1994 1996 1998 2000 Birth year 8m to 2y 8m to 3y 2y to 3y Source: Buchan et al. pre-publication
Fundamental and Allied Sciences mathematics, computer science, engineering, humanities Bioinformatics Health Informatics Co-develop information systems to extract natural experiments from health service data, enhance clinical trials and develop ‘persuasive technologies’ to help modify risk behaviours Epidemiology Biology Healthcare Bio-Health Informatics multi-scale discovery across disciplines
Fundamental and Allied Sciences mathematics, computer science, engineering, humanities Bioinformatics Health Informatics Epidemiology Build capacity in health informatics research and nurture projects to underpin future personalised care Biology Healthcare Co-develop systems for clinical *-omic studies Bio-Health Informatics multi-scale discovery across disciplines
Fundamental and Allied Sciences mathematics, computer science, engineering, humanities Bioinformatics Health Informatics Epidemiology Translational core: Rapid fusion of knowledge for discovery and care Biology Healthcare Bio-Health Informatics multi-scale discovery across disciplines
V V V H H H Investigators Discovery Strategy: V V H V Translational T Data • V = vertical scholarship in specialist areas (e.g. diseases) • H = horizontal scholarship in fundamental areas (e.g. computer science, statistics…) • T = translational scholarship, services and infrastructure Barriers (organisations, expertise) H Tools Networked
V V V H H H Investigators Discovery Strategy: V V H V Translational T Data • V = vertical scholarship in specialist areas (e.g. diseases) • H = horizontal scholarship in fundamental areas (e.g. computer science, statistics…) • T = translational scholarship, services and infrastructure Barriers (organisations, expertise) H Tools Networked Overload
NIBHI Developments • 4 Research Fellows being recruited • Epidemiology and Biobanking • Public Health Intelligence • Personal Health Systems • Microarray Analysis • 2 Education and Development Fellows recruited • Health Informatics • Bioinformatics courses established and booked-up • First grid computing facility established on NHS Net– with an identical NIBHI cluster on JANET • Offices & training suites built in Manchester and Liverpool • Low-latency video-conferencing suites installed across Northwest • Hosted research includes £4M MRC E-Science
Silos to Systems Babelfish, D. Adams Translational cultureand common tools