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Victoria McGilligan

Lecturer

University of Ulster

United Kingdom

Research Interests

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About

Victoria McGilligan is a Lecturer at the University of Ulster, located in the United Kingdom. Her research interests encompass genomic and proteomic biomarkers, clinical risk assessment in cardiology, and usability studies in healthcare technology. Recent publications include works on COVID-19 severity biomarkers and the application of machine learning techniques in electrocardiogram monitoring and clinical decision support systems.

Articles (15)

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2026

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2026

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2026

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2025

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2025

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2024

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2021

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2020

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2020

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2020

Collaborators (12)

Priyank Shukla

Senior Lecturer in Stratified Medicine (Bioinformatics)

University of Ulster - Magee Campus

UNITED KINGDOM

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Andrew English

Senior Lecturer Health and Human Biology

Teesside University

UNITED KINGDOM

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Seodhna Lynch

University of Ulster

UNITED KINGDOM

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Jacob Fog Bentzon

VIP, Professor

Aarhus University

DENMARK

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Rachelle Irwin

Lecturer in Genomic Medicine

University of Ulster

UNITED KINGDOM

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Peter Loof Møller

Aalborg University

DENMARK

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Kyle Boyd

Lecturer in Interaction Design

University of Ulster

UNITED KINGDOM

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Elaine Murray

Lecturer in Stratified Medicine

University of Ulster

UNITED KINGDOM

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David Gibson

Professor of Personalised Medicine

University of Ulster

UNITED KINGDOM

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Melody Chemaly

Research Specialist

Karolinska Institutet

SWEDEN

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Colin Willoughby

Professor of Ophthalmology

University of Ulster

UNITED KINGDOM

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Taranjit Singh Rai

Senior Lecturer in Cellular Ageing

University of Ulster - Magee Campus

UNITED KINGDOM

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Victoria McGilligan

Research Interests

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About

Articles (15)

Longitudinal sequelae of COVID-19 hospitalisation 3-12 months post Omicron infection

A systematic review and meta-analysis of metalloproteinases in patients with Alzheimer's disease and mild cognitive impairment

NLRP3 inflammasome priming and activation is involved in depression: A systematic review and meta-analysis

Distinct Omicron longitudinal memory T cell profile and T cell receptor repertoire associated with COVID-19 hospitalisation.

NLRP3 Inflammasome inhibition by the novel bispecific antibody InflamAb attenuates atherosclerosis in apolipoprotein E-deficient mice

Inflammasomes in Diseases of the Posterior Segment

Genomic, Proteomic, and Phenotypic Biomarkers of COVID-19 Severity: Protocol for a Retrospective Observational Study

Combining Polygenic and Proteomic Risk Scores With Clinical Risk Factors to Improve Performance for Diagnosing Absence of Coronary Artery Disease in Patients With De Novo Chest Pain

Using latent class analysis to identify clinical features of patients with occlusive myocardial infarction: Preangiogram prediction remains difficult

Comparing Single-Page, Multipage, and Conversational Digital Forms in Health Care: Usability Study

Reliable Deep Learning–Based Detection of Misplaced Chest Electrodes During Electrocardiogram Recording: Algorithm Development and Validation

Human–Computer Agreement of Electrocardiogram Interpretation for Patients Referred to and Declined for Primary Percutaneous Coronary Intervention: Retrospective Data Analysis Study

Computational time series analysis of patient referrals to a primary percutaneous coronary intervention service

Machine learning techniques for detecting electrode misplacement and interchanges when recording ECGs: A systematic review and meta-analysis

Systematic Review of Clinical Decision Support Systems for Prehospital Acute Coronary Syndrome Identification

Collaborators (12)

Priyank Shukla

Andrew English

Seodhna Lynch

Jacob Fog Bentzon

Rachelle Irwin

Peter Loof Møller

Kyle Boyd

Elaine Murray

David Gibson

Melody Chemaly

Colin Willoughby

Taranjit Singh Rai

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