191200_largerApple is researching whether iPhone and Apple Watch can be used to "passively monitor data" from patients suffering from Parkinson's Disease, according to Fast Company. Those with Parkinson's often see their doctors every six months, leaving wide gaps between visits where symptoms could improve or worsen, putting some on the wrong dose of medication.

Stephen Friend, the Sage Bionetworks president and co-founder that joined Apple in June, is in charge of the research. Friend and, by extension, Sage, have been valuable partners for ResearchKit. The company is behind the Parkinson mPower study app, which lets people easily participate in the world's "largest and most comprehensive" study on the disease.

Bay Area neurologist Diana Blum tells Fast Company that using phones to monitor patients could be an "important window" into the time between doctor's visits. Apple is hoping that Friend's research could help built an evidence base that proves the effectiveness of using mobile device to monitor patient symptoms.

Apple has worked on beefing up its ResearchKit team, most recently hiring Duke's Dr. Ricky Bloomfield, who was on the forefront of implementing ResearchKit and HealthKit. One of Bloomfield's research fields is autism, having created Autism Beyond. Other recent hires include Dr. Mike Evans, who will help Apple chart "the future of family medicine," and Stanford's Dr. Rajiv B. Kumar, who has used ResearchKit to help patients with diabetes.

Top Rated Comments

Shirasaki Avatar
110 months ago
Just another example of using app to monitor and track Parkinson disease. This is from a university in Japan called 順天堂大学

Attachment Image
Score: 3 Votes (Like | Disagree)
ck2875 Avatar
110 months ago
Very clever use of the motion sensor and shake functionality. What took them so song?
Hypothesis: Apple needed to collect enough data in their lab to be able to distinguish shaking wrists from chronic masturbation.
Score: 1 Votes (Like | Disagree)
meaning-matters Avatar
110 months ago
Good news.
Score: 1 Votes (Like | Disagree)

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