| Joint patient and clinician priority setting to identify 10 key research questions regarding the long-term sequelae of COVID-19 L Houchen-Wolloff, K Poinasamy, K Holmes, M Tarpey, C Hastie, ... Thorax 77 (7), 717-720, 2022 | 21 | 2022 |
| Integrated care for pregnant women with type one diabetes using wearable technology D Adams, H Zheng, M Sinclair, M Murphy, J McCullough BIBE 2019; The Third International Conference on Biological Information and …, 2019 | 5 | 2019 |
| On the prediction of premature births in Hispanic labour patients using uterine contractions, heart beat signals and prediction machines E Nsugbe, JJ Reyes‐Lagos, D Adams, OW Samuel Healthcare Technology Letters 10 (1-2), 11-22, 2023 | 4 | 2023 |
| Predictive Glucose Monitoring for People with Diabetes Using Wearable Sensors D Adams, E Nsugbe Engineering Proceedings 10 (1), 20, 2021 | 4 | 2021 |
| Nsugbe Research Labs E Nsugbe, I Sanusi, D Adams, O Obajemu United Kingdom, 0 | 3 | |
| A Pilot on the Endocrine Effects of Hormonal Replacement Therapy on Menopausal T1 Diabetics Using Wearable Sensors D Adams, E Nsugbe Engineering Proceedings 27 (1), 19, 2022 | 1 | 2022 |
| A Novel Ensemble of Fourier Transform Infrared Spectroscopic Biosensing and Deep Learning Postprocessing for Diagnosis of Endometrial Cancer E Nsugbe, D Mathebula, D Adams Engineering Proceedings 58 (1), 130, 2023 | | 2023 |
| Strides Towards the clinical use of Artificial Intelligence and Haematological Measurements for a Rapid Throughput Diagnosis and care for Malaria Patients in West Africa E Nsugbe, D Mathebula, O Samuel, D Adams, S Connelly, I Rodney, ... MDPI, 2023 | | 2023 |
| A novel ensemble of FTIR Spectroscopic Biosensing and Deep Learning post-processing for early diagnosis of Endometrial Cancer E Nsugbe, D Mathebula, D Adams MDPI, 2023 | | 2023 |
| Bio-Magneto Sensing and Unsupervised Deep Multiresolution Analysis for Labor Predictions in Term and Preterm Pregnancies E Nsugbe, OW Samuel, JJ Reyes-Lagos, D Adams, O Obajemu Engineering Proceedings 58 (1), 125, 2023 | | 2023 |
| A Novel Ensemble of FTIR Spectroscopic Biosensing and Deep Learning Postprocessing for Diagnosis of Endometrial Cancer E Nsugbe, D Mathebula, D Adams Presented at the 10th International Electronic Conference on Sensors and …, 2023 | | 2023 |
| On the Use of Deep Learning Decompositions and Physiological Measurements for the Prediction of Preterm Pregnancies in a Cohort of Patients in Active Labor E Nsugbe, JJ Reyes-Lagos, D Adams, OW Samuel, MG Asogbon, ... Engineering Proceedings 27 (1), 20, 2022 | | 2022 |
| Using Artificial Intelligence to Save Babies’ Lives: A Preterm Labour and Public Health Study BK Ejay Nsugbe, Dawn Adams, Oluwarotimi Williams Samuel, Michael Provost ... https://stemforbritain.org.uk/stem2022-sissg7rjjh546l7Fdth6y/Finalists …, 2022 | | 2022 |
| Pregnancy Labor Prediction Using Magnetomyography Sensing and a Self-Sorting Cybernetic Model E Nsugbe, OW Samuel, I Sanusi, S Vishwakarma, D Adams Engineering Proceedings 10 (1), 60, 2021 | | 2021 |
| Wearable technology for pregnant women with Type 1 Diabetes D Adams 32nd International Confederation of Midwives Virtual Triennial Congress, 2021 | | 2021 |
| Pregnancy Labor Prediction using a Self-Sorting Cybernetic Model E Nsugbe, O Williams Samuel, I Sanusi, V Jain, S Vishwakarma, D Adams 2021 Fourth International Conference on Computational Intelligence and …, 2021 | | 2021 |
| Pregnancy and Artificial Intelligence E Nsugbe, D Adams IPEM Scope 18, 18-21, 2021 | | 2021 |
| Predictive Glucose Monitoring for People with Diabetes Using Wearable Sensors. 2021, 21, x D Adams, E Nsugbe s Note: MDPI stays neu-tral with regard to jurisdictional claims in …, 2021 | | 2021 |
| Wearable Technologies for Pregnant Women with Type One Diabetes D Adams All Ireland Maternity and Midwifery Festival 2020, 2020 | | 2020 |
| Pregnancy, Type One Diabetes and Wearable Technology D Adams Festival of PhD Research-Belfast, 2019 | | 2019 |
