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Medicine / Data / Science: Basis of Precision Medicine

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Royal School of Mines

Imperial College London, LT G20

Prince Consort Road

South Kensington

SW7 2BP

United Kingdom

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Healthcare and medical research are generating more and more complex data, encompassing clinical investigations, genomic medicine, imaging, pharmacokinetics, metabolomics, epidemiology and beyond. This “biomedical Big Data” can form the basis for precision medicine, approaching disease prevention and treatment by taking into account individual variability in genes, environment, and lifestyle. By deeply profiling individual patients and using this to improve predictive models of pathology in individual patients, advances will be made in elucidating of the drivers of the disease and making precise targeted treatments, providing the right treatment to the right patient at the right time. Both biologists and clinicians need to understand this emerging and highly translational approach.

This meeting will present some of the statistical, visualisation and computational techniques needed to navigate this data-centric approach to medicine. Applications in fields like lung disease and neurology will illustrate these approaches and show the value of the precision medicine paradigm. Bringing together researchers in life science and clinicians with mathematicians, statisticians, computer scientists and others, it will provide a showcase for cutting edge research at Imperial (and beyond) and provide an opportunity for networking and collaboration between different areas of medical, life and computational sciences.


Example topics include:

  • The value of big data in clinical practice and how to manage it

  • The limitations of current disease stratification and nomenclature

  • Data collection for eHealth and mHealth

  • Integrative and systems analysis of disease

  • e-Discovery in biomedicine

  • Data and decision support in clinic

  • Utilising EHR for research

  • Clinical interpretation of 'big data approaches'

  • Revised taxonomies of disease

  • Endotyping complex diseases such as asthma and COPD

  • Development and detection of biomarkers

  • Use of imaging such as brain fMRI in analysis


Agenda


9:00: registration & coffee

9:30: meeting starts (session 1)

11:15: coffee break

11:30: meeting resumes (session 2)

13:00: lunch

14:00: meeting resumes (session 3)

15:45 coffee

16:00: meeting resumes (session 4)

17:30: meeting ends


Direct queries (including proposal for talks) please contact Dr Paul Agapow (p.agapow@imperial.ac.uk)



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Date and Time

Location

Royal School of Mines

Imperial College London, LT G20

Prince Consort Road

South Kensington

SW7 2BP

United Kingdom

View Map

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