EPSRC Centre for Mathematics of Precision Healthcare
Unifying patient-level precision medicine and public health through mathematics
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The expression profile of a gene projected on the developmental landscape of hematopoietic stem cells (Professor Mauricio Barahona)
The care.data debate on Twitter: Interest communities and conversation groupings in the follower and retweet networks (Professor Sophia Yaliraki)
Hypercube transition networks model possible pathways for disease progression based on patient data. (Dr Iain Johnston)
Flow communities in the directed network of world airports. (Professor Mauricio Barahona)
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Projection of the distances between all trees with six tips. Colour corresponds to the shape of the tree. (Dr Caroline Colijn)
The retweet and co-citation networks of the #Diabetes debate on Twitter. (Professor Sophia Yaliraki)
Medicine is undergoing a simultaneous shift at the levels of the individual and the population: we have unprecedented tools for precision monitoring and intervention in individual health, and we also have high-resolution behavioural and social data.
Precision healthcare seeks to deploy therapies that are sensitive to the particular genetic, lifestyle and environmental circumstances of patients. Understanding how best to use these numerous features about individual patients is a true mathematical challenge.
The EPSRC Centre for Mathematics of Precision Healthcare at Imperial serves as a focal point by linking up mathematical, computational and medical capabilities at Imperial around the theme of multi-scale networks for data-rich precision healthcare.
