| Issue Date | Title | Author(s) |
| 1-Sep-2021 | Bayesboost: Identifying and Handling Bias Using Synthetic Data Generators | Draghi, B; Wang, Z; Myles, P; Tucker, A |
| 7-Jun-2021 | Evaluating a longitudinal synthetic data generator using real world data | Wang, Z; Myles, P; Jain, A; Keidel, JL; Liddi, R; Mackillop, L; Velardo, C; Tucker, A |
| 9-Nov-2020 | Generating High-Fidelity Synthetic Patient Data for Assessing Machine Learning Healthcare Software | Tucker, A; Wang, Z; Rotalinti, Y; Myles, P |
| 10-Jan-2024 | Identifying and handling data bias within primary healthcaredata using synthetic data generators | Draghi, B; Wang, Z; Myles, P; Tucker, A |
| 10-May-2025 | Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations | Alattal, D; Azar, AK; Myles, P; Branson, R; Abdulhussein, H; Tucker, A |
| 24-Jan-2023 | The potential synergies between synthetic data and in silico trials in relation to generating representative virtual population cohorts | Myles, P; Ordish, J; Tucker, A |
| 2-Feb-2021 | Practical Lessons from Generating Synthetic Healthcare Data with Bayesian Networks | de Benedetti, J; Oues, N; Wang, Z; Myles, P; Tucker, A |
| 2025 | Probabilistic vs Deep Generative Models: A Fairness Centred Evaluation of Synthetic Healthcare Tabular Data | Alattal, D; Draghi, B; Myles, P; Branson, R; Tucker, A |
