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Glow如何帮2.5万女性成功怀孕

Glow如何帮2.5万女性成功怀孕

Preetisha Sen 2014年09月05日
贝宝创始人麦克斯•列夫琴推出的助孕应用软件Glow已经帮助2.5万名女性成功晋级准妈妈。但这款应用的野心不止于此。其创始人还希望用Glow应用收集的生育周期信息来更全面地提高女性健康水平。

    该公司营销负责人詹妮弗•泰伊指出,通过这两款软件,他们从正在尝试受孕和追踪自己经期的女性那里得到了非常多的信息,该公司由此掌握了有史以来规模最大的女性生殖健康数据库。正是出于这个原因,Glow才想用它来做点儿什么。

    泰伊说:“我们真的相信这将改变我们所有人对女性生殖健康的理解方式。”

    该公司将在10月份首次尝试对外公布研究成果。届时,旧金山太平洋不孕症研究中心(Pacific Fertility Center)专家、Glow公司医学顾问菲利普•切尼特博士将在美国生殖医学协会(ASRM)年会上介绍这方面的情况。最近,ASRM接受了切尼特和Glow公司数据科学家克里斯•马丁内斯提交的论文摘要,这篇论文由两人利用匿名用户数据撰写而成。

    还不清楚医学界对他们的研究会持怎样的态度。加州大学洛杉矶分校(University of California Los Angeles)妇产科临床医学教授阿帕娜•斯里达尔认为,经期跟踪应用软件是一种非常好的工具,可以帮助女性更好地了解自己的经期,但用这种软件收集的信息可能不完全准确。

    斯里达尔说:“按照我的理解,真正的好应用应该经过严格测试,从而可以得出‘它确实能帮助’某些群体的结论。”她还表示,对任何打算对它所掌握数据下结论的软件来说,这一点都很重要,“必须非常小心地对待他们的研究。”

    麦克•黄指出,Glow公司无意自行发表医学报告,但该公司仍认为它所收集的数据和观察意见能为医学界提供帮助。女性生殖健康数据依然匮乏。对Glow公司来说,任何零星数据都有其用武之地。(财富中文网)

    译者:Charlie

    Together, the two apps are accruing so much data from women trying to conceive and women tracking their menstrual cycles that Glow is sitting on one of the largest datasets for women’s reproductive health ever assembled, says Jennifer Tye, Glow’s head of marketing. Which is why Glow wants to do something with it.

    “We really do believe it will change the way we all understand women’s reproductive health,” Tye says.

    The company’s first attempt at publishing research will come in October when Dr. Philip Chenette, a specialist at the Pacific Fertility Center in San Francisco and a medical adviser to Glow, will present at the American Society for Reproductive Medicine’s annual conference. ASRM recently accepted an abstract for a paper that Chenette and Glow data scientist Chris Martinez wrote and submitted, drawing from user-anonymized data.

    It’s unclear how the medical community will receive their research. Aparna Sridhar, a clinical professor in the Department of Obstetrics and Gynecology at the University of California Los Angeles, says that period-tracking apps are great ways for women to understand their cycles better, but the information aggregated by them may not be 100% accurate.

    “My idea of an app that is really good is one that has had rigorous testing to say that ‘this really helps,’ with proper groupings,” Sridhar says, adding that it’s important for any app to do this before making any assumptions on its data. “You have to look at their research really carefully,” she says.

    Huang says Glow has no intention of producing medical publications of its own, but continues to believe that the data and insights it collects can be helpful to the medical community. There remains a dearth of statistical knowledge about women’s reproductive health. For Glow, every little bit helps.

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