Jeddah, Saudi Arabia – November 15, 2024- Working with intensively AI-powered imaging for diabetes detection, researchers in KAUST (King Abdullah University of Science and Technology) working with amplify AI health have developed an exciting new piece of technology that aims to assist improve preventative healthcare as diabetes is detected at the early stages of it.
AI is embedded within the system to aid other diagnostic devices such as hyperspectral imaging by crafting models to reason out biological systems and iterate and look for subtle variations associated with the physiological basis of instructions inherited by cells that develop into diabetes at a very early phase.
Dr. Brian Moran, Chief Scientist at amplif-AI health, recognizes the partnership has an opportunity,
“This partnership potentially opens a new way in addressing the management of diabetes around the world which is creating a paradigm shift by uncovering diabetes at an earlier stage.”
The initial tests give us the confidence of enhanced accuracy in addressing diabetic conditions with the hope of around potentially millions of lives being saved.
The lead investigator of the project, KAUST’s Professor Sarah Al-Rawi emphasized,
“People are now seeing how a diabetes predictor can work – thanks to AI identifying connections in huge amounts of disparate data.”
The development comes on the day which has been designated for the particular issue, a day where the aim is to deliver awareness on how technology can help fight growing concern over diabetes, one that affects over 530 million people and has its biggest challenge early on in detection.
Optimization of the AI technology and subsequent testing will be conducted to ensure that it can be rolled out as an AI healthcare solution for future needs.
On #WorldDiabetesDay, we shine the spotlight on #KAUST and @amplifAIhealth!
We’re combining #AI and hyperspectral imaging to create an early #diabetes detection system.@WDD #Health https://t.co/Pan4v76fCD— KAUST (@KAUST_News) November 15, 2024
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