WL
Watjana Lilaonitkul
University College London, Massachusetts Institute of Technology
Research areas: Medicine · Infectious Diseases · COVID-19 Clinical Research Studies · Hearing, Cochlea, Tinnitus, Genetics · Vestibular and auditory disorders
0000-0002-1742-7583
Employment
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University College London Associate Professor in Digital Health Technologies2025 - Present
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University College, London Assistant Professor2023 - 2025
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University College, London UKRI Rutherford Fellow2018 - 2023
Education
- 2002 - 2008
Projects & Funding
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Artificial Intelligence in Medical Treatment Decisions and Diagnosis Medical Research Council2018 - 2021
Publications (58)
- DECOVID: A UK Two-Center Harmonized Database of Acute Care Electronic Health Records for COVID-19 Research Save
- Incidence and prevalence of asthma, chronic obstructive pulmonary disease and interstitial lung disease between 2004 and 2023: harmonised analyses of longitudinal cohorts across England, Wales, South-East Scotland and Northern Ireland. Save
- Parenclitic network mapping predicts survival in critically ill patients with sepsis Save
- Invited Session III: Machine Learning and AI Approaches to Retinal Diagnostics: Towards more robust AI models in ophthalmology Save
- Replicating a COVID-19 study in a national England database to assess the generalisability of research with regional electronic health record data. Save
- Impact of COVID-19 pandemic on rates of congenital heart disease procedures among children: prospective cohort analyses of 26 270 procedures in 17 860 children using CVD-COVID-UK consortium record linkage data. Save
- An automated classification pipeline for tables in pharmacokinetic literature Save
- Decreased cardio-respiratory information transfer is associated with deterioration and a poor prognosis in critically ill patients with sepsis Save
- Impact of anti-VEGF treatment for diabetic macular oedema on progression to proliferative diabetic retinopathy: Data-driven insights from a multicentre study Save
- Incidence of diabetes mellitus following hospitalisation for COVID-19 in the United Kingdom: A prospective observational study Save
- OCT5k: A dataset of multi-disease and multi-graded annotations for retinal layers Save
- Parenclitic network mapping predicts survival in critically ill patients with sepsis Save
- Parenclitic network mapping predicts survival in critically ill patients with sepsis Save
- Uncovering Phenotypes in Sensorineural Hearing Loss: A Systematic Review of Unsupervised Machine Learning Approaches Save
- Accelarated immune ageing is associated with COVID-19 disease severity Save
- Assessing Clustering Replicability in Sensorineural Hearing Loss: Insights from the UK's Largest Audiogram Cohort Save
- Cognitive and psychiatric symptom trajectories 2–3 years after hospital admission for COVID-19: a longitudinal, prospective cohort study in the UK Save
- Decreased cardio-respiratory information transfer is associated with deterioration and a poor prognosis in critically ill patients with sepsis Save
- Deep Learning for Automated Image Segmentation of the Middle Ear: A Scoping Review Save
- End-to-End Relation Extraction of Pharmacokinetic Estimates from the Scientific Literature Save