Sensum Technologies uses advanced statistical and machine learning algorithms to predict and prevent preterm birth. Premature birth is one of the largest causes of infant death globally. In the UK alone, this costs the NHS £3 billion annually. Worldwide, that number amounts to £200 billion. We use existing third-party hardware combined with our time-series analysis of the electrical activity of the body to predict preterm birth.
Edward Cartwright is a paediatric medical doctor, with a PhD in Medicine from the University of Cambridge, where he obtained clinical trial experience. He has published 15 papers including papers in NEJM and Nature, which have been cited over 1300 times.
Agne Kazakeviciute has an MSc in Medical Statistics and a PhD in Statistical Science from UCL. While working towards her PhD, she spent two years working with biomedical sensing and imaging data at A*STAR Singapore, and published five papers in top statistics and engineering journals.