Research groups
Collaborators
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Noel Buckley
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Simon Lovestone
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Alejo J Nevado-Holgado
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Andrea Cipriani
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John Gallacher
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Sarah Bauermeister
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Franco De Crescenzo
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Seena Fazel
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Galit Geulayov
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Sarah Goodday
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Julia Hamer-Hunt
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Ivan Koychev
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Qiang Liu
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Danielle Newby
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Stephen Puntis
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Liu Shi
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William Sproviero
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Anneka Tomlinson
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Rongqin Yu
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Laura Winchester
Andrey Kormilitzin
PhD
Senior Research Scientist
Translational artificial intelligence
My research is centred around translating advances in mathematics, statistical machine learning and deep learning to address challenges involved in learning, inference and ethical decision making using complex biomedical and health data.
Recent publications
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P371 Using digital monitoring during the COVID pandemic to streamline outpatient appointments
Conference paper
KORMILITZIN A. et al, (2021)
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P494
Can Patients Monitor ResponseTo Ustekinumab In The Real World?
Conference paper
KORMILITZIN A. et al, (2021)
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Using item response theory (IRT) to improve the efficiency of the Simple Clinical Colitis Activity Index (SCCAI) for patients with ulcerative colitis.
Journal article
Walsh A. et al, (2021), BMC Gastroenterol, 21
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Utilization of the Signature Method to Identify the Early Onset of Sepsis From Multivariate Physiological Time Series in Critical Care Monitoring.
Journal article
Morrill JH. et al, (2020), Crit Care Med, 48, e976 - e981
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Real-world effectiveness, its predictors and onset of action of cholinesterase inhibitors and memantine in dementia: retrospective health record study.
Journal article
Vaci N. et al, (2020), Br J Psychiatry, 1 - 7