CHIMERA: Collaborative Healthcare Innovation through Mathematics, EngineeRing and AI (2020 - 2024)
CHIMERA is one of four EPSRC-funded Mathematical Sciences in Healthcare Hubs announced in March 2020. It is a multidisciplinary Hub which brings together experts in mathematics, statistics, data science and machine learning, with unique, high volume and rich vital signs data sets from both adult and paediatric Intensive Care Units through Project Partnerships with Great Ormond Street Hospital (GOSH) and University College London Hospital (UCLH). CHIMERA will develop new physiology models, and use them to inform clinical decision making. Based in UCL, CHIMERA will also act as a Hub for a network of national and international collaborators spanning mathematical and engineering sciences, as well as critical care and industry partners.
Hospitals collect a wealth of physiological data that provide information on patient health. Full use of this data is significantly limited by its complexity and by a limited mechanistic understanding of the relationship between internal physiology and external measurement. Addressing this challenge requires multidisciplinary collaboration between mathematicians developing new biomechanical models, clinicians who measure and interpret the data to treat patients, and statistical and computational scientists to bridge the two-way translation between model output and real-life data. CHIMERA is designed to foster such collaboration to generate new understanding of physiology, new methods for relating physiology to real time data, and, finally, to translate these into practice, improving outcomes for patients by supporting clinical decision making.
CHIMERA
Collaborative Healthcare Innovation through Mathematics, EngineeRing and AI
UCL centre launched in Autumn 2020 uses tools such as machine learning to analyse currently unused intensive care data to find clues that will improve the care of critically ill adults and babies.