Dr Gabriel Jones

Dr Gabriel Jones is at the forefront of pioneering research in the intersection of medicine and machine learning, particularly focusing on global health applications. 

As a co-investigator in the MRC DPFS project 'Next Generation Assessment of Fetal Wellbeing using Artificial Intelligence', Dr Jones collaborates with esteemed institutions like the University of Oxford's Department of Computer Science and the Royal Women's Hospital in Melbourne, Australia. Their collaborative effort manages an extensive dataset comprising over 200,000 pregnancies, enriched with clinical and biosignal data, including cardiotocography and ultrasound. Their overarching goal is to harness artificial intelligence to develop tools capable of detecting high-risk pregnancies, with a specific emphasis on complications such as stillbirths and a range of adverse outcomes. Dr Jones and his international collaborators aim to validate these models on diverse populations, drawing from various geographical and healthcare contexts, ultimately striving to create universally applicable tools to advance maternal and newborn healthcare on a global scale. This endeavour extends further through collaboration with Professor Jane Hirst and CareMother India, where they evaluate the efficacy of these models on a comprehensive Indian dataset. 

In addition to his work on fetal wellbeing, Dr Jones leads research within the Oxford Martin School Programme on Global Epilepsy. Here, his focus lies in developing artificial intelligence tools for epilepsy diagnosis and treatment in resource-limited settings across Kenya, Ghana, Tanzania, South Africa and India. Collaborating with esteemed professors like Arjune Sen, Timothy Denison and Sloan Mahone, Dr Jones leverages existing big data and creates software tools for data acquisition, with the aim of developing culturally and geographically tailored clinical solutions for regions bearing a significant burden of global epilepsy.