PREFACE
Towards the virtual physiological human: mathematical and computational case studiesUntil recently, much of the investigative effort in the life sciences has been datagathering orientated, the 'genetic revolution' being an exemplary case. It has become clear in recent years that (i) this data-driven science is not sufficient to understand the function of the incredibly complex biology of interactions from molecular-level to organ-level processes within the human body and (ii) a purely statistical (or evidence based) understanding of health-and disease-related data is not going to allow one fully to apply insight to an individual patient. The virtual physiological human (VPH) initiative is a direction in computational biomedicine that aims to develop a thoroughly data-based framework of methods and technologies that will facilitate the understanding of integrative function from sub-cellular structures, through cells and organs, to the human body as a whole [1]. Many of the methods and technologies needed for this endeavour are model-driven approaches to prediction that have long been used in the physical sciences. Building upon international physiome activities [2], the Strategy for the EuroPhysiome (STEP) project [3] developed a research roadmap that conceived the VPH concept. This roadmap identified the need to break down barriers between life scientists, physical scientists and medical practitioners to enable the fully integrative approach necessary for tackling the challenges that lie ahead.Since long before the STEP project, attempts to overcome such barriers have included the Mathematics in Medicine Study Groups.1 These annual workshops continue to bring together biologists and mathematicians with the aim of developing mathematical models that address very specific biology-or healthrelated questions. Researchers from experimental and industrial laboratories are invited to present technical problems for study in working sessions with leading mathematicians from the academic community. In a week of brainstorming and mathematical modelling, which involves significant communication between the disciplines, there is usually enough time to generate and assess many ideas for solving the problem. A significant number of interdisciplinary collaborations have stemmed from and been fostered by such activities; examples include models for cyst growth [4], cell signalling and differentiation [5], glaucoma [6] and placental transport [7]. Study groups were identified by the VPH community as a useful 1 Mathematics in Medicine website: http://www.maths-in-medicine.org.One contribution of 11 to a Theme Issue 'Towards the virtual physiological human: mathematical and computational case studies'.This journal is