Our Company
Bringing scientists and clinicians together to improve patient care
Professor John Kelly
John Kelly is Professor of Uro-Oncology and Consultant Robotic Surgeon. He leads an internationally recognised group studying methods to improve patient outcomes using new health technologies. His vision is to improve patient experience
Graça Carvalho
Graca Carvalho has vast experience in IT & Communications technology innovation and early adoption projects on an international scale. Her interests include Research and Education vertical markets in technology development. She has experience working on development and deployment of new technologies in the areas of Internet of Things (IoT) – from architectures to services and solutions.
Prof Ivana Drobnjak
Ivana Drobnjak is Professor of Computational Healthcare and leads the CODI Research Group. She is interested in the development of personalised and predictive medical technologies which can support patient care at home.
Dr Pramit Khetrapal
Dr Pramit Khetrapal is an academic surgeon with a PhD in application of wearable devices in healthcare settings. He specialises in setting up clinical trials, novel applications of wearables in different healthcare settings and patient engagement. He is a co-founder of Ethera Health and also a Urology Trainee in London.
Huriye Kocadag
Dr Huriye Kocadag has a background in creating clinical service change and improving patient experience within the NHS. She combines her clinical practice with her academic research to provide patients with high-quality, effective and convenient healthcare. She is interested in building useful digital health technologies for all ages.
Dr Ronnie Stafford
Dr Ronnie Stafford is a Postdoctoral Research Fellow at University College London with an interest in data-driven medicine in the digital health domain and in developing AI control algorithms. He has experience in leading technical teams in the software industry.
We are clinicians and computer scientists who realise and understand the true potential of machine learning models to detect health care changes and irregularities in health status.
We work with health care providers and clinicians to solve unmet needs through remote monitoring.
We are global and reach out to collaborative groups world wide.