APP DEVELOPED AT UIC TO TRACK MOOD, PREDICT BIPOLAR DISORDER EPISODES

The app, called BiAffect, was designed by researchers at the University of Illinois at Chicago, along with collaborators at the University of Michigan, Arbormoon Software and Sage Bionetworks. The app unobtrusively monitors keyboard dynamics metadata, such as typing speed and rhythm, mistakes in texts, and the use of backspace and auto-correct. The metadata, but not the content of the text, is analyzed using an artificial intelligence-based machine learning approach to identify digital biomarkers of manic and depressive episodes in people with bipolar disorder. The UIC team was led by Dr. Alex Leow, associate professor of psychiatry and bioengineering in the UIC College of Medicine, and Peter Nelson, professor of computer science and dean of the UIC College of Engineering.


To download BiAffect, users must first opt into a study led by its developers at UIC that centers on the app. Users agree that their de-identified metadata will be used by the researchers to help them continue to search for digital biomarkers of bipolar disorder and to further refine and improve the app. People who download BiAffect will be able to view their own metadata, including their cell phone usage over time, number of keystrokes, use of spellcheck and more.


"We are excited that our app is now available for anyone to download for free," said Nelson. "We think that this crowd-sourced app-based study will soon lead to digital technologies that act as an 'early alert system' for people with bipolar disorder to help them see manic and depressive episodes coming, and take action to mitigate the effects of those episodes. Just being aware of them is a step forward for the millions who live with this mood disorder."


"The app isn't just for people with bipolar disorder," said Leow. "We want people without mood disorders to use the app as well so that we can better understand keystroke dynamics in healthy adults versus those with bipolar disorder. This will allow us to further hone in on the 'virtual biomarkers' of bipolar disorder or even mood in general."


In May 2017, the app won the Mood Challenge for ResearchKit, a contest that called on researchers to come up with new ways to study mood disorders using Apple's ResearchKit, an open-source platform for creating iOS apps. the titan launcher used the $200,000 grand prize to continue to refine and launch their app in the App Store. The Mood Challenge is a New Venture Fund program administered by the Robert Wood Johnson Foundation.


Bipolar disorder, which causes extreme mood swings between the emotional highs of manic episodes and low periods of depression, affects approximately 5.7 million, or 2.6 percent, of adult Americans, according to the National Institute of Mental Health. Diagnosis relies on careful history-taking and examination.


Created: 26/06/2022 14:54:45
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