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Our Projects List
Cohort 2020
| Project No | Student Name | Project Title | Supervisors |
|---|---|---|---|
| 1 | Alessio Giacomel | Normative PET neuroimaging for precision medicine applications in brain disorders | Mattia Veronese / Ottavia Dipasquale |
| 2 | Davide Ferrari | Optimising the management of patients with respiratory illness including influenza and COVID-19 in emergency and acute pathways | Yanzhong Wang / Vasa Curcin / Jonathan Edgeworth |
| 3 | Dimitria Brempou | Using multi-omic data for neuroendocrine cancer diagnostics and metastatic predictions | Rebecca Oakey / Cynthia Andoniadou / Louise Izatt / Stephen Young |
| 4 | Dina Farran | Stroke prevention in patients with atrial fibrillation (AF) and co-morbid physical and mental health problems | Fiona Gaughran / Mark Ashworth |
| 5 | Giulio Scola | Emulating trials using EHR and Cogstack | Sabine Landau / Daniel Bean |
| 6 | Heather Marriott | A whole-genome sequencing approach to advance precision medicine and study patient heterogeneity in ALS | Ammar Al-Chalabi / Alfredo Iacoangeli / Ahmad Al Khleifat / Patrick Schwab |
| 7 | Jaya Chaturvedi | Combining statistical and knowledge-based methods for clinical modelling of electronic health record text | Angus Roberts / Sumithra Velupillai |
| 8 | Julianna Olah | Can online assessment of speech predict clinical and sub-clinical psychotic symptoms? | Kelly Diederen / Tom Spencer / Nicholas Cummins |
| 9 | Mary Abichi | IAPT care pathways and treatment outcomes for people with long-term conditions | Sam Norton / Rona Moss-Morris / Joanna Hudson |
| 10 | Miquel Serna Pascual | Extraction of novel signatures to improve the diagnosis of sleep apnoea and other respiratory disorders | Manasi Nandi / Gerrard Rafferty / Joerg Steier |
| 11 | Tareen Dawood | Learning to Trust AI Models in Cardiology | Andrew King / Reza Razavi / Esther Puyol Anton |
| 12 | Thomas Godfrey | Participatory Agent-Based Modelling of Emergency Department Patient Flow | Steffen Zschaller / Simon Miles / Jonathan Edgeworth / Andrew Krentz |
| 13 | Tianyi Liu | Use of machine learning and clinical phenotyping to identify determinants and predict CVMD risk using data from registries and electronic medical records | Vasa Curcin / Jorge Cardoso / Abdel Douiri |
| 14 | Flevin Marattukalam | Using machine learning to understand prognosis and multi-morbidity progression in patients with heart failure | Zina Ibrahim / Rosita Zakeri / Rebecca Bendayan / Serge Umansky |
| 15 | Gregory Kell | Advancing explainable human in the loop NLP analytics for clinical applications | Iain Marshall / Angus Roberts |
