David Guttery
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Lecturer in Cancer Early Detection
United KingdomResearch Interests
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About
David Guttery is a Lecturer in Cancer Early Detection at the University of Leicester, UK. His research interests encompass early detection methodologies for cancer, particularly in breast cancer, as well as molecular biology concerning Plasmodium species. His recent publications highlight a focus on the molecular mechanisms driving cell division in Plasmodium, alongside advancements in deep learning frameworks for breast mass detection.
Recent Grants
Grant: Close
Nucleosome mapping of circulating DNA as a surrogate for tracking transcriptional reprogramming in endocrine therapy-resistant metastatic breast cancer
Open Date: 2018-10-01
Close Date: 2019-10-01
Grant: Close
Can Artificial Intelligence predict the tumour genotype of screen-detected breast cancers by analysing mammograms?
Open Date: 2018-10-01
Close Date: 2019-10-01
Grant: Close
Utilising Cancer Genetic Evolution for Early Detection and Monitoring of Breast Cancer
Open Date: 2017-03-01
Close Date: 2022-03-01
Grant: Close
Targeted sequencing of cell-free DNA to detect acquired resistance to hormonal therapy in ER-positive breast cancer.
Open Date: 2014-06-01
Close Date: 2014-12-01
Grant: Close
Targeted deep sequencing of cfDNA for real-time monitoring of breast cancer
Open Date: 2014-03-03
Close Date: 2015-03-02
Articles (13)
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2025
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2024
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2024
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2023
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2023
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2023
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2022
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2022
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2021
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2021
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2021
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2020
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2020
Collaborators (9)
Yingli Tian
New York University
Nicolas Brancucci
Assistant Professor
Swiss Tropical and Public Health Institute
Rita Tewari
Professor of Parasite Cell Biology
University of Nottingham School of Life Sciences
Richard J. Wall
Assistant Professor
London School of Hygiene & Tropical Medicine
David Ferguson
University of Oxford
Nicole Kilian
Assistant Professor (tenure-track)
California State University Chico
Seifedine Kadry
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Justin Boddey
Laboratory Head/Associate Professor
Walter and Eliza Hall Institute of Medical Research
Nisha Philip
Lecturer
University of Edinburgh
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