Speaker
Description
Abnormal retinal neovascularisation is a hallmark of many retinopathies, including diabetic retinopathy (DR), Age-related macular degeneration (AMD) and retinopathy of prematurity (ROP). It is still unclear how the altered conditions in these diseases, drive cells to construct these vessels, which exacerbate disease progression and in some cases sight loss. Current therapies focus on anti-vegf or laser to limit further damage, but complications, risks and a large proportion of poor responders mean greater understanding of the disease mechanism is required to reveal new strategies.
We are developing integrated computational methods to integrate with state-of-the-art retinal imaging modalities in preclinical mouse, patient and post-mortem human eyes to reveal the dynamic mechanisms governing abnormal vessel growth towards identifying new/adapted therapeutic strategies to improve patient outcomes.
I will give an overview of our tools development and insights to date on 1) our 3D image analysis tool to quantify abnormal retinal vessel and cell-scale morphology and signalling patterns and 2) our predictive cell-based mechanistic simulations integrating with imaging at Moorfields Eye Hospital.
Bibliography
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journal={Elife},
volume={9},
pages={e49779},
year={2020},
publisher={eLife Sciences Publications, Ltd}
}
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publisher={eLife Sciences Publications, Ltd}
}
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publisher={Nature Publishing Group UK London}
}
