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Large, complex datasets and new analysis methods are heralding a new age of medicine, where biological systems can be understood, and treatments personalised, in ways not previously possible. This evening will be a foray between biology, mathematics, and technology that sheds light on the promise of 21st century medicine.
Cancer research needs computational scientists!
Dr. Anita Grigoriadis
(Lecturer in Cancer Bionformatics, King's College London)
New technologies, producing huge quantities of data in very short time, are slowly entering our clinics and are used for diagnosis and treatment selection for cancer patients. In this talk, I will describe where these data come from and how they can be integrated with current clinical parameters. With the aid of several examples, I will illustrate why nowadays we need computational scientists to deliver rigorous and testable concepts and provide valuable information with the aim to deliver personalised medicine.
Give me six hours to chop down a tree, and I will spend the first four sharpening the axe (A Lincoln)
Professor Ton Coolen
(Professor of Applied Mathematics, King's College London)
Medicine is in the middle of a revolution, similar to physics in the 17th century. In recent decades we have been collecting enormous amounts of complex biomedical data, reporting on an individual's genetic makeup and the states of billions of molecules, messengers and cells in their bodies. These `next generation data' are unfortunately still often analysed with `previous generation' statistical tools, leading to clues being missed, many failed drug trials, and poor treatment tailoring. Medicine is now learning how to become a data and mathematics driven discipline.
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