Examples of using Researchkit in English and their translations into Chinese
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In 2015, Apple introduced new software, called Apple ResearchKit, for health researchers.
Apps using ResearchKit or CareKit can pull data from the Health app only with your consent.
We put out ResearchKit and made it a source so that people could run enormous-sized studies.
To develop ResearchKit and CareKit, we consulted leading hospitals, medical institutions and foundations around the world.
By delivering ResearchKit as open source, any developer can quickly design a research study for iPhone.
It launched ResearchKit which turned millions of iphones around the world into a tool for medical research.
Within a day of ResearchKit's launch, 11,000 volunteers signed up for a Stanford University cardiovascular trial.
When Apple launched ResearchKit in 2015, it announced five preliminary studies that make use of the software.
Apple spent around a third of the keynote talking about privacy, the environment, and ResearchKit and CareKit.
As Google continues to develop its Pixel phone, it could look to Apple's initiatives in healthcare via ResearchKit.
Large academic hospitals like Stanford Medicine and Duke are currently using Apple's ResearchKit to collect health information via iPhones.
At last year's March event we saw the release of the new 12 inch MacBook, ResearchKit for iPhone and the first Apple Watch.
Here are the 5 Apple ResearchKit apps you can start using now.
For example, in 2015, Apple launched its open-source ResearchKit software framework.
Another ResearchKit app, mPower was launched last year.
The ResearchKit apps are designed to be more interactive and allow a patient to control when and with whom to share data.
Using Apple's ResearchKit, scientists can recruit clinical study subjects en masse and collect real-time health data from participants' iPhones.
Since 2015, Apple has launched two open-source frameworks- ResearchKit and CareKit- to help clinical trials recruit patients and monitor their health remotely.
Apple has invested in ResearchKit and CareKit software frameworks that will use machine learning to provide medical researchers with more reliable and meaningful data;
ResearchKit collects genetic data and medical test results from iOS users and makes them available in research and diagnostics.