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Jonathan Godwin
Senior Research Associate at Biochemistry
Genetics
Machine Learning
Microtubule And Mitosis Dynamics
Reproductive Biology And Fertility
9.4K
Citations
30
H-index
0
Patents
76
Publications
0
Grants
$0
Total Funding
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Research Contributions
International evaluation of an AI system for breast cancer screening
Led an international study evaluating an AI system for breast cancer screening, published in Nature, demonstrating the potential of AI in improving diagnostic accuracy.
Nature (2020)
Development of a reporting guideline for AI-centered diagnostic test accuracy studies
Contributed to the development of the STARD-AI protocol, a reporting guideline for artificial intelligence-centered diagnostic test accuracy studies, published in BMJ Open.
BMJ Open (2021)
Identification of a microRNA signature of renal ischemia reperfusion injury
Identified a microRNA signature associated with kidney damage following ischemia reperfusion injury, providing insights into potential therapeutic targets.
Proceedings of the National Academy of Sciences (2010)
Learning to Simulate Complex Physics with Graph Networks
Explored the use of graph neural networks for simulating complex physical systems, contributing to advancements in computational physics and machine learning.
arXiv (Cornell University) (2020)
Smchd1-Dependent and -Independent Pathways Determine Developmental Dynamics of CpG Island Methylation
Investigated the role of Smchd1 in regulating CpG island methylation dynamics on the inactive X chromosome, contributing to understanding of epigenetic regulation.
Developmental Cell (2012)
Characterization of a common progenitor pool of the epicardium and myocardium
Contributed to the characterization of a common progenitor pool of the epicardium and myocardium, advancing understanding of heart development.
Science (2021)
Research Highlights
Jonathan Godwin is a Senior Research Associate at the University of Oxford, specializing in the application of AI and machine learning to biomedical research, with significant contributions to breast cancer screening and genomic studies.
Research Areas
GeneticsMachine LearningMicrotubule And Mitosis DynamicsReproductive Biology And Fertility
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