One of the earliest symptoms of pancreatic cancer, as well as other diseases, is jaundice, a yellow discolouration of the skin and eyes caused by a buildup of bilirubin in the blood, researchers said.
The ability to detect signs of jaundice when bilirubin levels are minimally elevated - but before they are visible to the naked eye - could enable an entirely new screening programme for individuals at risk, they said.
The BiliScreen app, developed by researchers at the University of Washington in the US, uses a smartphone camera, computer vision algorithms and machine learning tools to detect increased bilirubin levels in a person's sclera, or the white part of the eye.
The app then calculates the colour information from the sclera-based on the wavelengths of light that are being reflected and absorbed-and correlates it with bilirubin levels using machine learning algorithms.
To account for different lighting conditions, the team tested BiliScreen with two different accessories: paper glasses printed with coloured squares to help calibrate colour and a three dimensional (3D) printed box that blocks out ambient lighting.
"Pancreatic cancer is a terrible disease with no effective screening right now," said Jim Taylor, professor at University of Washington.
In an initial clinical study of 70 people, the BiliScreen app-used in conjunction with a 3D printed box that controls the eye's exposure to light-correctly identified cases of concern 89.7 per cent of the time, compared to the blood test currently used.
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