Narinder Kaur (BSc (Hons), MSc, PhD)
Thesis title: Artificial Intelligence in Modelling the Influence of Socio-Economic Factors on the Risk of Cardiovascular Disease Events
Precision Medicine Doctorate Training Programme
Year of study: 3
- University of Glasgow
- College of Medical, Veterinary & Life Sciences
- School of Cardiovascular Science & Metabolic Disease
Contact details
- Email: s2225737@ed.ac.uk
PhD supervisors:
Address
- Street
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School of Cardiovascular and Metabolic Health
University of Glasgow - City
- Post code
Background
Narinder is a passionate and innovative Precision Medicine Scientist (Final Year clinical Ph.D. Candidate) who is putting in substantial effort to build a strong multidisciplinary field of Cardiovascular Disease (CVD) and Artificial Intelligence. Her goal is to investigate the definitive causes of CVD and apply state-of-the-art AI methods to identify distinct patient lifestyle profiles concerning multimorbidity. This will provide solutions to personalised patient care, to overcome the "all for one" traditional medical approaches.
She is currently implementing survival-based models to uncover prognostic factors and pathways to cardiovascular disease progression in patients with type 2 diabetes mellitus. This is carried out by the efficient usage of electronic health records from NHS Scotland Greater Glasgow & Clyde and Hong Kong for further validation. Overall, the research introduces new approaches to support healthcare professionals manage patients with cardiovascular risk events.
CV
130389.pdf
Qualifications
BSc (Hons) Computer Science, Glasgow Caledonian University - 1st Class
MSc Big Data Technologies, Glasgow Caledonian University - Distinction
Responsibilities & affiliations
Metropolitan University of Hong Kong
University of Glasgow
Undergraduate teaching
Mentor for Secondary School Student in France: May 2023 - May 2024 | AI for ECG Interpretation
Module Tutor: Jan 2021 - May 2021 | Glasgow Caledonian University - School of Computing , Engineering & Built Environment
Postgraduate teaching
Clinician Mentoring: February 2022 - January 2023 | Reinforcement Learning for Cardiovascular Disease Prevention
MSc Student Thesis Mentoring: July 2021 - May 2022 | Machine learning prediction of respiratory illness using spatial data
Research summary
- Precision Medicine
- Cardiovascular Disease (Heart Failure)
- Type 2 Diabetes Mellitus
- Multimorbidity
- Patient Lifestyle Risks (Socioeconomic factors)
- Medical Statistics
- AI Modelling
- Tensor Factorisation
Current research interests
1. Incident Heart Failure in Patient's with type 2 diabetes 2. Socioeconomic Status and all-cause mortality in Patient's with type 2 diabetes 3. AI detection of brain tumors and cardiovascular disease using retinopathy Data 4. Creating a standardised data mining methodology for pre-processing healthcare data 5. Tensor analysis to observe 3-Dimensional electronic health records (EHRs) to identify patient sub-groupsAffiliated research centres
Project activity
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External Validation of Novel approaches in cardiovascular disease prevention December 2023 - Present (MUHK)
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Risk Prediction Dashboard for incident Heart Failure: May 2022 - Present (GU)
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Social deprivation and type 2 diabetes: July 2021 - November 2023 (GU)
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AI for Renewable Energy: Oct 2020 – Apr 2021 (The Data Lab)
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Gaming Analytics for Climate change: January 2021 – Apr 2021 (The Data Lab)
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Semi-supervised Machine Learning for Medical Imaging: Nov 2020 – Mar 2021 (Reserarch GCU)
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Predictive Analytics for Employee Attrition: Jun 2020 – Sep 2020 (MSc Dissertation & Hymans Roberson)
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IoT and Cloud based solution for Patient Monitoring System: Feb 2020 – May 2020 (Innovation MSc Project)
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Risk Assessment Tool for IT Project Managers: Apr 2018 – Apr 2019 (Honours Research Project)
Current project grants
- Medical Research Council
- Graham Wilson Travel Scholarship
Conference details
Scottish Informatics Computer Science Alliance Conference 2022: Best Research Poster Award
European Society of Cardiology - Heart Failure Association Prague Conference 2023: Eposter Presentation
British Society of Cardiology Annual Conference Manchester 2023: Poster Presentation
European Society of Cardiology - General Congress Amsterdam 2023: Oral Presentation
European Society of Cardiology - Heart Failure Association Lisbon 2024: Oral Presentation
European Society of Cardiology - General Congress London 2024: Oral Presentation
Lifestyle Interventions in Cardiometabolic Disease Module, Glasgow: Pass
Clinical Aspects of Cardiovascular Disease - Postgraduate Module, Glasgow: Pass
Epidemiology Training for PhD Candidates at Karolinska University, Sweden: Pass