GD
Gabriel Davis Jones
University of Oxford, The University of Melbourne
Research areas: Medicine · Obstetrics and Gynecology · Pregnancy and preeclampsia studies · Epilepsy research and treatment · Artificial Intelligence in Healthcare
0000-0003-4070-4814
Employment
-
University of Oxford Principal Investigator2023 - 2027
-
University of Oxford Lead Data Scientist & Software Engineer2019 - 2023
Education
-
University of Oxford DPhil2020 - 2024
-
University of Melbourne Doctor of Medicine (MD)2014 - 2017
-
University of Melbourne Bachelor of Science (Degree with Honours)2009 - 2012
Projects & Funding
-
Next Generation Assessment of Fetal Wellbeing using Artificial Intelligence UKRI2023 - 2026
Publications (42)
- Artificial Intelligence for Improving the Management of People With Epilepsy in Low‐and‐Middle Income Countries Save
- CleanCTG: A deep learning model for multi-artefact detection and reconstruction in Cardiotocography Save
- Artificial intelligence for personalized multiple micronutrient supplementation in maternal health Save
- Identifying High-Risk Pre-Term Pregnancies Using the Fetal Heart Rate and Machine Learning Save
- Reply Save
- Predicting Preeclampsia in Gestational Diabetes Mellitus Using the sFlt-1/PlGF Ratio Save
- PatchCTG: A Patch Cardiotocography Transformer for Antepartum Fetal Health Monitoring Save
- The Relationship of Antepartum Fetal Heart Rate Patterns to Adverse Pregnancy Outcomes Save
- Differential 5′-tRNA Fragment Expression in Circulating Preeclampsia Syncytiotrophoblast Vesicles Drives Macrophage Inflammation Save
- Identifying high-risk pre-term pregnancies using the fetal heart rate and machine learning Save
- A Performance Evaluation of Computerised Antepartum Fetal Heart Rate Monitoring: The Dawes-Redman Algorithm at Term Save
- A Performance Evaluation of Computerised Antepartum Fetal Heart Rate Monitoring: The Dawes-Redman Algorithm at Term Save
- Differential 5′-tRNA Fragment Expression in Circulating Preeclampsia Syncytiotrophoblast Vesicles Drives Macrophage Inflammation Save
- Evaluating the generalisability of region-näıve machine learning algorithms for the identification of epilepsy in low-resource settings Save
- Exploring the Capabilities of ChatGPT in Women\textquoterights Health Save
- Identifying high-risk pre-term pregnancies using the fetal heart rate and machine learning Save
- Maternal serum soluble fms-like tyrosine kinase-1--to--placental growth factor ratio distinguishes growth-restricted from non--growth-restricted small-for-gestational-age fetuses Save
- The OxMat dataset: a multimodal resource for the development of AI-driven technologies in maternal and newborn child health Save
- Development and validation of a diagnostic aid for convulsive epilepsy in sub-Saharan Africa: a retrospective case-control study Save
- Differential Expression of 5’-tRNA Fragments in Circulating Preeclampsia Syncytiotrophoblast Vesicles Drives Macrophage Inflammation Save