| The benefits and pitfalls of machine learning for biomarker discovery S Ng, S Masarone, D Watson, MR Barnes Cell and tissue research 394 (1), 17-31, 2023 | 53 | 2023 |
| Advancing predictive toxicology: overcoming hurdles and shaping the future S Masarone, KV Beckwith, MR Wilkinson, S Tuli, A Lane, S Windsor, ... Digital Discovery 4 (2), 303-315, 2025 | | 2025 |
| P05-44 SAFEPATH: Using AI to understand the molecular mechanisms causing safety failures, enabling drug optimisation and turnaround L Hosseini-Gerami, J Lane, S Masarone, M Wilkinson, S Windsor Toxicology Letters 399, S149-S149, 2024 | | 2024 |
| Using SAFEPATH to Uncover a Novel Mechanism of Hepatotoxicity for Gefitinib L Hosseini-Gerami, S Masarone, J Lane bioRxiv, 2024.07. 31.605988, 2024 | | 2024 |
| Understanding Trauma: a Journey through Single and Multi-Omics S Masarone Queen Mary University of London, 2024 | | 2024 |
| Representation Learning to Effectively Integrate and Interpret Omics Data S Masarone NeurIPS 2022 AI for Science: Progress and Promises, 2022 | | 2022 |
| Data Study Group FInal Report: CatsAi D Balasubramanian, HY Kai, I Sen, P Foreshaw Mattew, Vala Nikita, Rhati, ... DOI: 10.5281/zenodo.5562660, 2021 | | 2021 |
Sandra NgQueen Mary University of LondonE-mailová adresa ověřena na: qmul.ac.uk
