Not long ago, Apple released the medical research platform ResearchKit caused quite a stir. In fact, in July 2014, Google launched a large-scale medical research project called Google Baseline Study, which used mobile health tools to obtain unprecedented amounts of health information from participants. The two are not only very similar, but their similarities and differences are very interesting.
Innovating clinical trials is not news for researchers in the medical field, but it is always accompanied by the question: What happens when clinical trials can be tested on mobile?
Whether it is Apple or Google, they are more or less close to the various problems in medical research according to people's expectations. For example, Google launched an independent, large-scale "moonshot" research program, while Apple established an architecture that promotes the progress, efficiency, and data quality of individual research projects. Both programs are based on a huge innovation in mobile healthcare : the ability to continuously collect personal health data and create a more complex and complete health map than simply collecting data on a regular basis. And the two projects actually complement each other: the value of Google's Baseline Study data is based on the comparison between healthy patient data and unhealthy patient data, which is the data that needs to be collected by the five projects launched by ResearchKit.
Comparison of Google Apple Medical Research Projects
Of course, Google is also collecting genetic data in the Baseline project, which is by no means part of Apple's current plan. And ResearchKit as an open source product may be far more influential than Google's plan, although the latter may be more groundbreaking.
Stanford University School of Medicine is a rare institution that works with ResearchKit and Google Baseline. Dr. Alan Yueng, a researcher at Stanford University who participated in one of ResearchKit's first few apps, said that the difference between the two plans is only the depth and breadth, although he is not directly involved in Google Baseline. Yueng believes that this is just two different ways, but it is undeniable that both are important.
Google Baseline does a relatively in-depth study of relatively few people, but in fact there is a lot of data. For example, last summer they recruited 175 testers, and later hoped to expand to 1,000. Apple's approach is to use the data of a very large number of people, the researchers expect to reach 100,000 people, and record the physical data of these people. The problem with this is that the data is extremely complex and there are certain errors, because some people may not be able to use the relevant devices such as smartphones to record data. But because of the large number of participants, researchers can extract valuable information from huge amounts of data.
Although both programs use similar new methods to capture data, the issues that the two want to trace back are not the same. For example, through the data collected by ResearchKit, we can understand the relationship between heart health and physical exercise, but obviously ResearchKit does not collect genetic data and detailed medical history. Google Baseline can select some people's data and learn more about a person's relationship between heart health and genetics. The leader of the "Baseline Study" project is 50-year-old molecular biologist Andrew Conrad who joined Google X in March 2013 to form a 70-inch field covering physiology, biochemistry, optics, imaging and molecular biology. A team of 100 people.
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