Pancreatic cancer has one of the worst prognoses — with a five-year survival rate of 9 percent — in part because there are no telltale symptoms or non-invasive screening tools to catch a tumor before it spreads.
Now, University of Washington researchers are developing an app that could allow people to easily screen for pancreatic cancer and other diseases — by snapping a smartphone selfie.
BiliScreen 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 is described in a paper to be presented Sept. 13 at Ubicomp 2017, the Association for Computing Machinery’s International Joint Conference on Pervasive and Ubiquitous Computing.
One of the earliest symptoms of pancreatic cancer, as well as other diseases, is jaundice, a yellow discoloration of the skin and eyes caused by a buildup of bilirubin in the blood. The ability to detect signs of jaundice when bilirubin levels are minimally elevated — but before they’re visible to the naked eye — could enable an entirely new screening program for at-risk individuals.
In an initial clinical study of 70 people, the BiliScreen app — used in conjunction with a 3-D printed box that controls the eye’s exposure to light — correctly identified cases of concern 89.7 percent of the time, compared to the blood test currently used.
“The problem with pancreatic cancer is that by the time you’re symptomatic, it’s frequently too late,” said lead author Alex Mariakakis, a doctoral student at the Paul G. Allen School of Computer Science & Engineering. “The hope is that if people can do this simple test once a month — in the privacy of their own homes — some might catch the disease early enough to undergo treatment that could save their lives.”
BiliScreen builds on earlier work from the UW’s Ubiquitous Computing Lab, which previously developed BiliCam, a smartphone app that screens for newborn jaundice by taking a picture of a baby’s skin. A recent study in the journal Pediatrics showed BiliCam provided accurate estimates of bilirubin levels in 530 infants.
In collaboration with UW Medicine doctors, the UbiComp lab specializes in using cameras, microphones and other components of common consumer devices — such as smartphones and tablets — to screen for disease.
The blood test that doctors currently use to measure bilirubin levels — which is typically not administered to adults unless there is reason for concern — requires access to a health care professional and is inconvenient for frequent screening. BiliScreen is designed to be an easy-to-use, non-invasive tool that could help determine whether someone ought to consult a doctor for further testing. Beyond diagnosis, BiliScreen could also potentially ease the burden on patients with pancreatic cancer who require frequent bilirubin monitoring.
In adults, the whites of the eyes are more sensitive than skin to changes in bilirubin levels, which can be an early warning sign for pancreatic cancer, hepatitis or the generally harmless Gilbert’s syndrome. Unlike skin color, changes in the sclera are more consistent across all races and ethnicities.
Yet by the time people notice the yellowish discoloration in the sclera, bilirubin levels are already well past cause for concern. The UW team wondered if computer vision and machine learning tools could detect those color changes in the eye before humans can see them.
“The eyes are a really interesting gateway into the body — tears can tell you how much glucose you have, sclera can tell you how much bilirubin is in your blood,” said senior author Shwetak Patel, the Washington Research Foundation Entrepreneurship Endowed Professor in Computer Science & Engineering and Electrical Engineering. “Our question was: Could we capture some of these changes that might lead to earlier detection with a selfie?”
BiliScreen uses a smartphone’s built-in camera and flash to collect pictures of a person’s eye as they snap a selfie. 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 color 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 colored squares to help calibrate color and a 3-D printed box that blocks out ambient lighting. Using the app with the box accessory — reminiscent of a Google Cardboard headset — led to slightly better results.
Next steps for the research team include testing the app on a wider range of people at risk for jaundice and underlying conditions, as well as continuing to make usability improvements — including removing the need for accessories like the box and glasses.
“This relatively small initial study shows the technology has promise,” said co-author Dr. Jim Taylor, a professor in the UW Medicine Department of Pediatrics whose father died of pancreatic cancer at age 70.
“Pancreatic cancer is a terrible disease with no effective screening right now,” Taylor said. “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.”
The Latest on: Smartphone app to screen for disease
- App Shows Promise in Tracking New Coronavirus Cases, Study Findson May 11, 2020 at 6:15 pm
The app, which allows people to record their symptoms, was remarkably effective in predicting infections. The most reliable indicators, researchers found, were loss of smell and taste.
- Sonoma County teams up with IBM for app that would track employee healthon May 8, 2020 at 7:25 pm
The project has advanced as employers seek ways to safeguard returning workers and keep tabs on their health as the pandemic plays out, with no vaccine or cure in sight.
- The UK state’s desire to keep tabs on us via smartphone apps is sinister. Fortunately, it’s turning into another Covid-19 cock-upon May 7, 2020 at 12:20 am
The UK government has rolled out an app to help trace people at risk of developing the virus. But their centralised approach - never mind concerns about the technology and privacy - means it’s ...
- AI And Medical Diagnostics: Can A Smartphone App Detect Covid-19 From Speech Or A Cough?on May 5, 2020 at 12:22 pm
Researchers in several countries are working to develop a smartphone application to rapidly and accurately detect Covid-19 from spoken words, coughs, and other phrases.
- POCKET DNA-testing kit uses smartphone to detect mutationson April 23, 2020 at 7:00 am
The system works by noting changes in DNA that can signal disease in ... spotted using the smartphone's camera and a cloud-based app—with the results presented on its screen.
- Ferrari banks on coronavirus testing and phones to restart productionon April 21, 2020 at 9:16 am
which works with a smartphone app. The blood tests will give workers a green light to return to work and show there's no trace of illness. If the blood test flags a disease, workers will then ...
- Smartphone Coronavirus Test? Apps Would Listen to Your Coughon April 16, 2020 at 12:37 pm
Smartphones already know a lot about us ... researchers are working toward systems that could help spot the disease through people’s breathing, coughing and speech. They are collecting thousands ...
- Stanford Medicine team launches survey via smartphone app to assess impact of COVID-19on April 16, 2020 at 8:43 am
The survey is being conducted through a new smartphone app designed to screen patients at drive-through COVID-19 ... for COVID-19 testing according to guidelines from the Centers for Disease Control ...
- New app uses QR codes to trace coronavirus exposureon April 15, 2020 at 5:00 pm
TrackCOVID is a free, open-source smartphone app that permits contact tracing ... people who may have been exposed to an infectious disease after someone has tested positive,” says lead author ...
- UCI team develops smartphone application for coronavirus contact tracingon April 15, 2020 at 12:44 pm
TrackCOVID is a free, open-source smartphone application that permits ... people who may have been exposed to an infectious disease after someone has tested positive," said lead author Tyler ...
via Google News and Bing News