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这款App号称能预测生物年龄,甚至逆转衰老

这款App号称能预测生物年龄,甚至逆转衰老

Jeremy Kahn 2020年10月05日
初创公司Deep Longevity新推出的一款应用程序Young. ai承诺可以预测生物学年龄,并为用户推荐永葆青春的方法。

图片来源:GETTY IMAGES

觉得自己比实际年龄更年轻?虽然你的年龄快到45岁,但认为自己有一颗25岁年轻人的心?现在你的身材比读研究生的时候更有型?一款新应用程序承诺可以利用尖端科技,帮助你确定自己的感觉是否准确。

香港科技公司Deep Longevity开发的iPhone应用程序Young. ai将使用一系列“生物钟”算法,根据血样信息和从可穿戴健身跟踪设备上收集的数据,甚至用户的面部照片,计算出用户的生物学年龄。

一个人的生物学年龄,是根据一系列指标评估其衰老速度的一种方式。由于健康、生活方式以及遗传基因等因素的影响,生物学年龄可能与实际年龄存在差异。例如,50岁的超级马拉松运动员的生物学年龄,可能比35岁的宅男宅女更年轻。

预计Young. ai应用程序将于9月29日在苹果公司的应用商店上线。该应用承诺不仅会告诉用户其当前的生物学年龄,还会预测用户的衰老速度,并建议从体育锻炼到节食等各种个性化的干预措施,帮助用户延缓甚至逆转衰老。

Deep Longevity的创始人兼首席执行官亚历克斯·扎沃隆科夫说:“我们希望帮助所有人延长寿命,提高生活质量,不论他们的国籍、种族、性别或社会地位。”扎沃隆科夫自封为公司的CLO,即“首席长寿官”。同样由扎沃隆科夫创立的Insilico Medicine拆分之后成立了Deep Longevity公司。

他说,该公司希望提供医疗或生活方式干预措施建议,“帮助用户恢复到更接近黄金年龄的状态,通常是20至40岁。很可惜,人过了40岁以后身体状况会开始走下坡路。”

该应用程序中包含为每位用户提供的个性化措施清单,用户可以通过这些措施延缓或逆转衰老过程。

用高科技实现长寿

与Young. ai类似的“长寿科技”引起越来越多消费者和投资者的关注。谷歌(Google)母公司Alphabet旗下的初创公司Calico,致力于研究延长人类寿命的各种方法。塞雷拉基因组(Celera Genomics)的创始人克雷格·文特尔曾经参与绘制人类基因图谱。他参与创建的加州初创公司Human Longevity,同样致力于研究实现长寿的方法。(Deep Longevity与Human Longevity合作开发部分生物钟算法。)Human Longevity最近被英国亿万富翁詹姆斯·梅隆创立的香港上市公司励晶太平洋(Regent Pacific)收购。梅隆投资了多家致力于逆转人类衰老的公司。

Young. ai应用程序将按照20个不同指标评估用户的生物学年龄,并提供对用户生物学年龄的整体预测,Deep Longevity将评估得分称为“AgeMetric”。

扎沃隆科夫说:“我们认为应该使用多个衰老时钟。我们认为没有一种通用的时钟,但可以使用来自不同形态的衰老时钟的数据进行综合评估。”

Young. ai提供的最简单的生物钟具有年龄预测功能,该功能基于用户用手机摄像头拍摄的面部照片。其他功能包括通过健身跟踪装置评估用户的心律。这款应用程序能够搭配Apple Watch和Fitbit健身跟踪装置使用。有些指标需要根据用户对一些简单的应用程序内问题的回答,包括他们的精神健康及其对自身年龄和衰老过程的感觉等。

该应用程序支持的其他指标需要经过复杂的实验室检测,例如对用户转录组(对人体细胞功能至关重要的一种分子)的分析,或者对生活在人体表面或体内的微生物组的评估等。

扎沃隆科夫表示,Deep Longevity公司希望Young. ai应用程序可以鼓励用户与医生谈论衰老和长寿话题。该项服务还将推出桌面版,将为用户和医生提供更丰富的功能。

他表示,未来,Young. ai的用户能够直接通过该应用订购或预约更复杂的检测。这款应用程序最终可能支持用户查找和联系营养师、私人教练和健康专家,帮助他们执行应用程序中推荐的措施,延缓衰老过程,在许多情况下甚至可以逆转衰老。

成本

该应用持续将采取“免费增值”模式,一些较为简单的生物钟和综合年龄评分将免费提供,但有些更复杂的生物钟需要付费解锁。扎沃隆科夫说,Deep Longevity曾经希望能够推出Young. ai应用程序的安卓版,但这个版本可能需要再等待一段时间。

他说公司正在与多家保险公司商谈未来的合作,但他拒绝透露保险公司的名称。他说,帮助人们实现健康长寿这个目标,既符合保险公司的利益,也符合他们客户的利益。

但保险公司也可能会利用Young. ai强大的预测分析,向生物学年龄更高或衰老速度更快的患者收取更高的医疗保险或人寿保险保费,甚至拒绝承保。

扎沃隆科夫说,按照该应用程序的条款和条件,用户将授权Deep Longevity利用他们的数据进行匿名研究。他表示,公司将遵守法律规定,在任何研究项目中使用用户数据时,额外获得用户同意。

他说:“我们很清楚当前的监管环境。我们保证,不会在未经同意的情况下将任何人的数据用于研究。”

扎沃隆科夫称,根据不同数据类型计算生物学年龄的算法,以及AgeMetric评分机制,都已经取得专利,或者正在申请专利。该公司在同行审议科学期刊上公布了不同“生物钟”算法所依据的部分研究,其中许多算法利用人工智能根据数据进行预测。(财富中文网)

翻译:刘进龙

审校:汪皓

图片来源:GETTY IMAGES

觉得自己比实际年龄更年轻?虽然你的年龄快到45岁,但认为自己有一颗25岁年轻人的心?现在你的身材比读研究生的时候更有型?一款新应用程序承诺可以利用尖端科技,帮助你确定自己的感觉是否准确。

香港科技公司Deep Longevity开发的iPhone应用程序Young. ai将使用一系列“生物钟”算法,根据血样信息和从可穿戴健身跟踪设备上收集的数据,甚至用户的面部照片,计算出用户的生物学年龄。

一个人的生物学年龄,是根据一系列指标评估其衰老速度的一种方式。由于健康、生活方式以及遗传基因等因素的影响,生物学年龄可能与实际年龄存在差异。例如,50岁的超级马拉松运动员的生物学年龄,可能比35岁的宅男宅女更年轻。

预计Young. ai应用程序将于9月29日在苹果公司的应用商店上线。该应用承诺不仅会告诉用户其当前的生物学年龄,还会预测用户的衰老速度,并建议从体育锻炼到节食等各种个性化的干预措施,帮助用户延缓甚至逆转衰老。

Deep Longevity的创始人兼首席执行官亚历克斯·扎沃隆科夫说:“我们希望帮助所有人延长寿命,提高生活质量,不论他们的国籍、种族、性别或社会地位。”扎沃隆科夫自封为公司的CLO,即“首席长寿官”。同样由扎沃隆科夫创立的Insilico Medicine拆分之后成立了Deep Longevity公司。

他说,该公司希望提供医疗或生活方式干预措施建议,“帮助用户恢复到更接近黄金年龄的状态,通常是20至40岁。很可惜,人过了40岁以后身体状况会开始走下坡路。”

该应用程序中包含为每位用户提供的个性化措施清单,用户可以通过这些措施延缓或逆转衰老过程。

用高科技实现长寿

与Young. ai类似的“长寿科技”引起越来越多消费者和投资者的关注。谷歌(Google)母公司Alphabet旗下的初创公司Calico,致力于研究延长人类寿命的各种方法。塞雷拉基因组(Celera Genomics)的创始人克雷格·文特尔曾经参与绘制人类基因图谱。他参与创建的加州初创公司Human Longevity,同样致力于研究实现长寿的方法。(Deep Longevity与Human Longevity合作开发部分生物钟算法。)Human Longevity最近被英国亿万富翁詹姆斯·梅隆创立的香港上市公司励晶太平洋(Regent Pacific)收购。梅隆投资了多家致力于逆转人类衰老的公司。

Young. ai应用程序将按照20个不同指标评估用户的生物学年龄,并提供对用户生物学年龄的整体预测,Deep Longevity将评估得分称为“AgeMetric”。

扎沃隆科夫说:“我们认为应该使用多个衰老时钟。我们认为没有一种通用的时钟,但可以使用来自不同形态的衰老时钟的数据进行综合评估。”

Young. ai提供的最简单的生物钟具有年龄预测功能,该功能基于用户用手机摄像头拍摄的面部照片。其他功能包括通过健身跟踪装置评估用户的心律。这款应用程序能够搭配Apple Watch和Fitbit健身跟踪装置使用。有些指标需要根据用户对一些简单的应用程序内问题的回答,包括他们的精神健康及其对自身年龄和衰老过程的感觉等。

该应用程序支持的其他指标需要经过复杂的实验室检测,例如对用户转录组(对人体细胞功能至关重要的一种分子)的分析,或者对生活在人体表面或体内的微生物组的评估等。

扎沃隆科夫表示,Deep Longevity公司希望Young. ai应用程序可以鼓励用户与医生谈论衰老和长寿话题。该项服务还将推出桌面版,将为用户和医生提供更丰富的功能。

他表示,未来,Young. ai的用户能够直接通过该应用订购或预约更复杂的检测。这款应用程序最终可能支持用户查找和联系营养师、私人教练和健康专家,帮助他们执行应用程序中推荐的措施,延缓衰老过程,在许多情况下甚至可以逆转衰老。

成本

该应用持续将采取“免费增值”模式,一些较为简单的生物钟和综合年龄评分将免费提供,但有些更复杂的生物钟需要付费解锁。扎沃隆科夫说,Deep Longevity曾经希望能够推出Young. ai应用程序的安卓版,但这个版本可能需要再等待一段时间。

他说公司正在与多家保险公司商谈未来的合作,但他拒绝透露保险公司的名称。他说,帮助人们实现健康长寿这个目标,既符合保险公司的利益,也符合他们客户的利益。

但保险公司也可能会利用Young. ai强大的预测分析,向生物学年龄更高或衰老速度更快的患者收取更高的医疗保险或人寿保险保费,甚至拒绝承保。

扎沃隆科夫说,按照该应用程序的条款和条件,用户将授权Deep Longevity利用他们的数据进行匿名研究。他表示,公司将遵守法律规定,在任何研究项目中使用用户数据时,额外获得用户同意。

他说:“我们很清楚当前的监管环境。我们保证,不会在未经同意的情况下将任何人的数据用于研究。”

扎沃隆科夫称,根据不同数据类型计算生物学年龄的算法,以及AgeMetric评分机制,都已经取得专利,或者正在申请专利。该公司在同行审议科学期刊上公布了不同“生物钟”算法所依据的部分研究,其中许多算法利用人工智能根据数据进行预测。(财富中文网)

翻译:刘进龙

审校:汪皓

Feel young for your age? Think you have the mind of a 25-year-old, even though you’re pushing 45? Are you in better shape now than when you were in grad school? A new app promises to use cutting-edge science and technology to tell you if you’re right.

Young.ai, an iPhone app created by Hong Kong–based technology company Deep Longevity, will use a variety of “biological clock” algorithms to compute a user’s biological age based on everything from blood samples and data collected from wearable fitness trackers to a simple photograph of the user’s face.

A person’s biological age is a way of assessing how rapidly a person is aging based on a number of indicators. It can differ from a person’s chronological age owing to health and lifestyle factors, as well as genetics. For instance, a 50-year-old ultramarathoner might have a younger biological age than a 35-year-old couch potato.

The Young.ai app, which is expected to debut on Apple’s App Store on Sept. 29, promises to not only tell a user her current biological age, but make predictions about the rate at which she is aging and then recommend personalized interventions—from exercise to diet—that could slow, or even possibly reverse, some of the effects of aging.

“We want to help everyone on the planet live longer and better regardless of their nationality, race, gender, or social status,” says Alex Zhavoronkov, who bills himself as the CLO—or “chief longevity officer”—of Deep Longevity, a company he also founded and runs as chief executive officer. The company was spun out of Insilico Medicine, which Zhavoronkov also founded.

He said the company wanted to provide advice on medical or lifestyle interventions that would “bring you a little back, closer to the age of your optimal performance, which for humans is usually between ages 20 to 40. After that we have, unfortunately, this declining path.”

The app will include a checklist of personalized steps that each user can take to help slow or reverse the aging process.

Longevity goes high-tech

“Longevity tech,” such as Young.ai is increasingly attracting interest from both consumers and investors. Alphabet, the parent company of Google, owns Calico, a startup researching ways to extend human life spans. Craig Venter, the entrepreneur who founded Celera Genomics and helped map the human genome, has cofounded Human Longevity, a California startup pursuing similar ideas. (Deep Longevity has a partnership with Human Longevity on some biological clock methods.) Deep Longevity itself was recently purchased by Regent Pacific, a publicly traded Hong Kong company founded by British billionaire James Mellon, who has funded a number of ventures dedicated to reversing human aging.

The Young.ai app will assess a user’s biological age across up to 20 different metrics as well as providing an overall prediction of a person’s biological age, a score that Deep Longevity calls the “AgeMetric.”

“We believe in using multiple aging clocks," Zhavoronkov said. “We believe there is no universal clock, but we can work with data from completely different modalities and combine those.”

The simplest of the biological clocks offered by Young.ai is an age-prediction feature based on a photograph of the user’s face taken with their mobile phone camera. Others include an assessment of a user’s heart rate, which can be obtained from a fitness tracker. The app is designed to integrate with both the Apple Watch and Fitbit fitness trackers. And some of the metrics are based on users answering simple questions in the app about their mental health and their own feeling about their age and aging process.

But other metrics that the app supports, such as analysis of a user’s transcriptome, a molecule essential to cell function, or assessment of a person’s microbiome, the microbes that live on and in our bodies, require sophisticated lab tests.

Zhavoronkov said Deep Longevity hoped the Young.ai app would help encourage discussions between users and their doctors about aging and longevity. There will also be a desktop version of the service available with an even richer set of features for users and their doctors to explore.

He said that in the future, Young.ai users might be able to order or book these more sophisticated tests directly through the app. The app might also eventually enable users to find and contact dietitians, personal trainers, and specialist health professionals who would be able help them take the steps the app recommends for slowing, or in a few cases reversing, the effects of aging.

What it costs

The app will operate on a freemium model, with some of the simpler biological clocks and combined age score available for free, but some of the more sophisticated clocks will require payment to unlock. Zhavoronkov said that Deep Longevity hoped to eventually launch an Android version of the Young.ai app, but that it would be some time before it was ready to do so.

He said that Deep Longevity is in discussions with several insurance companies, which he declined to name, about future partnerships. He said the interests of insurance companies and the interests of their customers were aligned when it came to the goal of helping people live longer, healthier lives.

But the powerful predictive analytics underpinning Young.ai could also potentially be used by insurance companies to charge patients with more advanced biological ages or who seemed to be aging faster higher premiums for health or life insurance, or perhaps to deny them coverage altogether.

Users will give Deep Longevity the right to conduct anonymized research using their data as part of the app’s terms and conditions, Zhavoronkov said. He said the company would comply with any laws that required additional consent from individuals to use their data in specific research projects.

“We are well aware of the regulatory environment, and we will ensure no one’s data is used for research in an unconsented way,” he said.

The algorithms used to compute a biological age for each of the different data types—as well as the AgeMetric scoring mechanism—are either patented or patent-pending, Zhavoronkov said. The company has published some of the research underpinning these different “biological clock” algorithms, many of which use artificial intelligence to make predictions based on the data, in peer-reviewed scientific journals.

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