"Unifying patient-level precision medicine and public health through mathematics: using multiscale networks for data-rich, personalised healthcare on a population scale."

Precision healthcare aims to tune interventions to the variability of individuals in factors like genes, lifestyle and environment. However, diseases, individuals and their social contexts are diverse; different treatments work differently for different individuals, groups and socio-environmental contexts.

Advances in ‘omics technologies, imaging, and molecular medicine mean that individuals can be characterised with rich, high-dimensional data. In addition, there is increasing access to data about groups and their socio-environmental contexts, as reflected in social network, demographic and epidemiological data. Integrating strata of data from the individual to the population, in an interpretable form can provide the basis for improved detection and intervention tools in medical science and clinical practice enriching decision-making in healthcare and minimising the inefficiencies of inadequate stratification.

The EPSRC Centre for Mathematics of Precision Healthcare will provide a venue for new mathematics, new data analysis pipelines, and a genuinely interdisciplinary approach by bringing together Imperial’s mathematicians, engineers and computer scientists with medical scientists and clinicians to address such issues across different areas in healthcare, from patient journeys to population-level analyses.