Clicking selfies may help detect pancreatic cancer

Sun Online Desk

3rd September, 2017 09:06:26 printer

Clicking selfies may help detect pancreatic cancer

Scientists have developed an app that allows people to easily screen for pancreatic cancer and other diseases by just clicking a selfie. 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 team developed a computer vision system to automatically and effectively isolate the white parts of the eye, which is a valuable tool for medical diagnostics.


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. “Our goal is to have more people who are unfortunate enough to get pancreatic cancer to be fortunate enough to catch it in time to have surgery that gives them a better chance of survival,” Taylor added.


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.


Source: PTI