Personal tools

You are here: Home / Research / International Collaborations

International Collaborations

The Institute has a growing number of international partnerships that reflect both an interest to develop  strategic partnerships in affordable healthcare technology research, and for when an overseas collaboration is established to advance our research agenda.

Some examples are given below.

  • The Biomedical Signal Processing Group collaborates with the Harvard-MIT Division of Health Sciences and Technology in the area of Intensive Care Unit  data analysis, which has resulted in several joint papers and research student exchanges. There are also collaborations with the MIT Computer Science and Artificial Intelligence Laboratories in the area of m-Health.
  • The IBME collaborates with the George Institute for Global Health in mHealth interventions. This includes a randomised control trial in cardiovascular disease risk reduction in Southern India, and trials of a low cost blood pressure monitor in rural China. The IBME and George Institute have also set up the Oxford Biodesign Programme.
  • A Memorandum of Understanding was signed with the Indian Institute of Science, Bangalore, India in 2011, which has subsequently led to a number of exchange visits, and a workshop held in Oxford. The IBME and IISc Bangalore are now working together on a Wellcome Trust Affordable Healthcare Technologies for India project entitled PURAK which is developing a low-cost prosthetic upper limb.
  • A Memorandum of Understanding was signed with the Translational Health Science and Technology Institute (THSTI), Gurgaon (near New Delhi), India, in 2013, to investigate areas of mutual interest in biomedical engineering, with a particular focus on perinatal care. This has led to a number of exchange visits and invitation for Oxford researchers to attend a workshop in India in 2015.
  • The Biomedical Image Analysis Laboratory collaborates with researchers based in KEMRI, Africa on fetal ultrasound image analysis as a result of being involved in the Gates Foundation funded Intergrowth21st project.
  • The Computational Health Informatics (CHI) lab works with governmental collaborators in Bangladesh, Ethiopia, and Kenya, and with UNICEF in Denmark, as part of its "water- and health-related risks" portfolio of work, funded by the Department for International Development, the Natural Environment Research Council, and UNICEF.  This range of collaborative programmes uses machine learning for risk forecasting in developing-world situations.

  • CHI lab works with the Centres for Disease Control (CDCs) from the USA, India, China, and South Africa to understand the genetic causes of antibiotic resistance in Mycobacterium tuberculosis, in which machine learning methods are used to fuse genotype and phenotype data, with the aim of replacing manual lab-based testing of bacterial cultures with same-day genetic sequencing.  This work is led by Public Health England, and is funded by the UK National Institute of Health Research and the Gates Foundation.