Broadcaster and journalist Lara Lewington reports from Moorfields Eye Hospital and UCL Institute of Ophthalmology (IoO) on the science of Oculomics in a new episode of the BBC News technology programme Click.
Lara interviews Professor Pearse Keane about the potential of Oculomics to detect early signs of systemic disease, such as stroke or Parkinson's, using large-scale datasets of retinal images.
As part of the investigation, Lara speaks with Dr Siegfried Wagner, who demonstrates the detailed diagnostic information that can be obtained using a non-invasive Optical Coherence Tomography (OCT) image of the retina. Moorfields patient Angela Sharp, who has Parkinson's, also shares her experience with Lara.
The BBC segment highlights the power of INSIGHT's anonymised datasets, curated from routinely collected retinal images, to support ongoing advances in Oculomics research.
Watch the Oculomics segment on YouTube below.
The full BBC Click episode is available on BBC iplayer. Click the image below or here to watch.
About Pearse Keane: Pearse is Professor of Artificial Medical Intelligence at UCL Institute of Ophthalmology, consultant ophthalmologist at Moorfields, and director of the INSIGHT Health Data Research Hub.
About Siegfried Wagner: Siegfried is Honorary Clinical Senior Research Fellow at UCL Institute of Ophthalmology and Vitreoretinal TSC Fellow at Moorfields Eye Hospital NHS Foundation Trust.
About INSIGHT: About INSIGHT
INSIGHT is the Health Data Research Hub for eye health, based at Moorfields Eye Hospital NHS Foundation Trust, working in partnership with University Hospitals Birmingham NHS Foundation Trust. We are an NHS-led initiative serving to improve healthcare for the benefit of patients and wider society by enabling safe and trusted research access to anonymised data.
The origin for INSIGHT is a research collaboration that began in 2016 between Moorfields Eye Hospital with UCL and DeepMind Technologies, now Google Health. Out of that collaboration, INSIGHT has now grown to become the world’s largest ophthalmic bioresource with over 35 million retinal images linked to clinical data.