CHIMERA

• Research type

  Research Database

• IRAS ID

  288423

• Contact name

  Rebecca Shipley

• Contact email

  rebecca.shipley@ucl.ac.uk

• Research summary

  CHIMERA: Collaborative Healthcare Innovation through Mathematics, EngineeRing and AI

• REC name

  East Midlands - Derby Research Ethics Committee

• REC reference

  21/EM/0134

• Date of REC Opinion

  6 Jul 2021

• REC opinion

  Favourable Opinion

• Data collection arrangements

  Data will be acquired from routinely recorded and collected data from hospital patients, including, but not limited to data from
  
  - Critically ill patients admitted to an Intensive Care or High Dependency Unit
  - Hospital inpatients wearing remote monitoring devices (telemetry)
  - Patients undergoing anaesthesia for surgical procedures who are have continuous monitoring devices applied
  - Patients undergoing investigations such as cardio-pulmonary exercise testing with continuous monitoring devices

  This will exclude all personal information or other information that could be used to directly or indirectly identify an individual. No additional data beyond those collected within the course of routine clinical care will be collected from any individuals with the intention of populating the database, and patient opt-out will be supported.
  

• Research programme

  The CHIMERA research database is designed to develop data-driven model platforms of human physiology, by uniting state-of-the-art statistical methods, biomechanical modelling and machine learning to learn the underpinning biophysical relationships between internal physiology and outward vital sign measurement. To do this we aim to create a research database of de-identified high-resolution physiology measurements for the purpose of building mechanistic models of human health and disease from cradle to grave (an in silico ‘biobank’). We then aim: 1. To validate the robustness of the mathematical platforms we develop by testing on these data 2. To engage the national community of mathematical, statistical and computational scientists to tackle unmet clinical needs and deliver new insights into patient health as well as clinical decision-making support tools. 3. To deliver Data Study Groups and workshops with the national community in data sciences, artificial intelligence and healthcare. 4. To deliver a programme of public and patient involvement, integrating patient input into the programme of research, providing researcher training, and delivering workshops around data use and sharing

• Research database title

  CHIMERA: Collaborative Healthcare Innovation through Mathematics, EngineeRing and AI

• Establishment organisation

  University College London

• Establishment organisation address

  Gower Street

  London

  WC1E 6BT