Our core technologies are underpinned by solid scientific research
Science is at our core. Without research there can be no real innovation, and if innovation is at the heart of what Mirada does then this would not be possible without our science team. Mirada’s team of industry-leading PhD research scientists work in collaboration with leading academic and clinical institutions, acting with scientific integrity in all they do. Motivated by improving outcomes for patients, Mirada’s scientists take current assumptions about medical imaging software and challenge these to push the state-of-the-art to the next level.
Mirada led the way in the recent change from Atlas-based to Deep-Learning contouring with our research team producing some of the earliest publications in this field. Challenging assumptions, we showed that Atlas selection was not the way forward and motivated the change to Deep Learning. We are now pushing towards a second-generation solution, which would represent another step change in performance.
Every company is talking about artificial intelligence at the moment, often fitting the problem to the solution. At Mirada, we view Deep Learning as just one tool in the box when it comes to finding solutions to clinical problems. Our research team works to ensure we are using the best tool for the job. In the case of autocontouring, we showed that AI is the best tool, and experts continue to develop its use where appropriate.
Mirada’s core registration technology traces back to its foundations as a start-up 20 years ago. However, the technology has not stood still, with on-going research to improve it throughout that period. Our recent research focus has been on ways to assess registration quality automatically.
Human or machine: The Imitation Game.
Subjective assessment of autocontouring has been used for as long as autocontouring itself. The research team Mirada linked this through to the ground-breaking work of Alan Turing; The Imitation Game. We have shown that being able to determine the source of a contour strongly correlates to the amount of editing likely to occur. You can participate in the project by clicking below or read about the study https://doi.org/10.1002/mp.13200
Review our scientific publications
Only by working with the brightest minds can we hope to accelerate cancer care.
Learn more about the work that we do and our global collaborations.
PREDICT ITN is a Marie Curie Innovation Training Network, funded by Horizon 2020, which aims to educate a new generation of early-stage researchers in the fields of radiomics and nuclear medicine. Mirada is participating in this training network with an Early Stage Researcher investigating how human interaction can be integrated with machine learning tools.
London Medical Imaging and AI Center for Value Based Healthcare (AI4VBH)
The AI Center for Value-Based Healthcare, led by King’s College London and Guy’s and Thomas’ NHS Foundation Trust was established to address one of the UK government’s Grand Challenges: the prevention, early diagnosis and treatment of chronic diseases. With a consortium of ten NHS trusts, four universities and industry partners, the center is undertaking pioneering research in AI-enabled care. As a member of the consortium, Mirada is closely working with Guy’s and Thomas’ Hospital developing tools suitable for wide-scale deployment within the NHS.
National Institute for Health Research (NIHR)
The NIHR is the UK’s largest funder of health and care research. Mirada was awarded funding for their work in radiotherapy as part of their Artificial Intelligence in Health and Care Award, designed to support AI solutions across the whole development pathway.
National Consortium of Intelligent Medical Imaging (NCIMI)
NCIMI is led from Oxford University at the Big Data Institute, and is a collaboration between NHS Trusts, Universities, companies, charities and patient groups, aiming to revolutionize healthcare with the use of Artificial Intelligence. In collaboration with Leeds Teaching Hospital and the Alliance Medical Group, Mirada is investigating the role that AI and Deep Learning can play in diagnostic nuclear medicine. https://ncimi.co.uk/
Help us accelerate cancer care
Mirada’s science team looks for high caliber PhD-level researchers who are experts in the healthcare imaging domain. Our current team have previous backgrounds including academia, healthcare delivery and industry medical device development. However, all team members share the same key characteristics: inquisitiveness, self-motivation, scientific integrity, and very sharp minds. Regardless of vacancies, we are always willing to consider speculative CVs from highly motivated candidates who share our vision of performing the best research to improve patient care.
Get in touch by emailing your CV and a cover letter to