Alicia Chong Rodriguez: A smart bra for better heart health | TED

翻译人员: psjmz mz 校对人员: Helen Chang

I am proudly named Alicia after my grandma.

我很自豪地以我奶奶的名字命名， 叫艾丽西娅。

She dedicated her life to women's health as an obstetrician,

作为一名产科医生，她一生 致力于女性的健康，

in a time when women were rarely allowed to obtain medical degrees.

在那个女性很少被允许 获取医疗学位的时代。

We lost her to a heart attack when I was 13 years old.

我13岁时，她因心脏病而离开我们。

When one of my cofounders, Monica, was 12,

当我的一位联合创始人， 莫妮卡，12岁时，

she was waiting at school for her mom to pick her up.

她在学校等待母亲来接她。

Only that didn't happen,

但并没有发生，

because her mom, a 44-year-old physician,

因为她的母亲，一位44岁的医生，

had suddenly passed away from a stroke.

突然中风去世。

Unfortunately, our stories are common.

很不幸，我们的故事是常见的。

Heart disease and stroke

心脏病和中风

are the leading causes of death and disability worldwide.

是全球死亡和残疾的主要原因。

And for women,

对于女性而言，

it is not only harder to recognize, diagnose and treat,

这不仅难以识别、诊断和治疗，

but after a heart attack or a stroke, women also face higher mortality.

而且在心脏病发和中风后， 女性也面临更高的致死率。

There are about 44 million women living in the US with heart disease,

美国有4400万的女性有心脏疾病，

and the incidences for women under 65 are on the rise.

年龄在65岁以下的女性 发生率还在上升。

So what's going on?

那么发生了什么？

The answer lies at the intersection of two areas: data and medical devices.

答案在两个领域的交叉口： 数据和医疗设备。

Let's look at data first,

让我们先看看数据，

or the lack of it.

或说缺少了数据。

When I was doing cardiovascular research at MIT,

当我在MIT做心血管研究时，

I had access to huge data sets.

我获取了大量的数据集。

Realizing that women were one of the largest subgroups underrepresented

意识到女性是最大的 代表不足的子群体时

was eye-opening.

真是让人大开眼界。

In fact, women were basically excluded from cardiovascular clinical trials

事实上，女性基本上 被排除在心血管临床实验外，

until the NIH mandated inclusion in 1993.

直到1993年国家卫生研究院强制纳入。

This is why existing technologies and therapies often fall short,

这也是为什么现存的技术 和疗法常常不足的原因，

because most of them have been designed

因为它们大多数主要使用

using data primarily from male animals and men.

雄性动物或男性的数据设计。

And as artificial intelligence helps turbocharge digital health,

随着人工智能帮助加速数字医疗，

there's a danger that algorithms mostly trained with male data and biases

存在的危险是主要用 男性数据和偏见训练的算法

will actually perpetuate the problem.

实际上会使问题永久化。

Next, let's look at medical devices.

接着，让我们看看医疗设备。

The "one type fits all" approach

这种“一体适用”的方法

doesn't even take into account the fact that heart disease and stroke

没有考虑女性的心脏疾病和中风

can present differently in women.

会表现不同的事实。

Way too often, female thresholds are not programmed.

通常情况下，女性的阈值并没有设定。

Smaller arteries cannot be visualized,

较小的动脉不能很好地显示，

and poor clinical-grade monitoring systems

并且糟糕的临床级别的监控系统

cannot accommodate two different body shapes

不能兼容两种不同的体型

or stages in life.

或生命的阶段。

In the 1800s, Amelia Bloomer led a movement against damaging corsets,

1800年代，阿梅利亚·布卢姆 发起了一场反对有害紧身女衣，

towards more comfortable and useful garments for women.

为女性提供更舒服和实用穿着的活动。

She inspired us to think:

她激发我们思考：

What if we could solve both the data and the device challenge

如果我们使用绝大部分女性 日常使用的衣服

by using a garment that most women already wear daily?

来解决数据和设备挑战会怎样？

What if a garment designed to support women

如果一件为女性设计的衣服

could also augment their health?

还可以提升她们的健康会怎样？

Our idea is to turn the everyday bra into an actual lifesaver.

我们的想法是把日常的胸罩 变成真正的救星。

And this is how we're doing it.

这是我们在做的。

This is our augmented garment platform.

这是我们的增强服装平台。

It gives women the ability

它赋予了女性持续和远程

to continuously and remotely acquire physiological data.

获取身体数据的能力。

By wearing these bras,

通过穿戴这些胸罩，

women can view insights and patterns

女性可以查看洞察和节奏

and keep an automated journal in their phones,

并在她们的手机中保存自动的记录，

giving them a simple way to tag symptoms

让她们可以简单地标注症状

and collect life-saving data to share with their doctors

并且收集救命的数据和医生共享

for early detection and targeted management.

以用于早期的发现和针对性的管理。

It can even track the safety and efficacy of certain therapies.

它甚至可以跟踪 某些疗法的安全性和有效性。

We've built medical-grade textile sensors

我们构建了医疗级的传感器

that can adapt to multiple bra styles and sizes

能够适应多种胸罩类型和尺寸，

for continuous, reliable and repeatable data,

围绕着女性的躯干和心脏去收集

all around her torso and her heart.

持续、可靠和重复的数据。

We can track heart rhythm, breathing, temperature, posture and movement,

我们可以追踪心率、呼吸、 体温、姿势和动作，

and by applying algorithms, we can use this data to decode symptoms,

通过应用算法，我们可以 使用数字解码症状，

articulate arrhythmia triggers

做关节性心律失常触发

and generate personalized digital biomarkers.

并产生个性化的数字生物标记。

Unlike traditional biomarkers, like blood, that take a snapshot in time,

跟血液这些传统生物标记物 只采取一小段时间不同的是，

digital biomarkers work more like a video,

数字生物标识工作方式更像视频，

using data collected over time to explain, influence

使用长期收集的数字来解释、影响

and even predict health outcomes.

甚至预测健康结果。

They have the potential to enable care immediately.

它们有增强立即护理的潜力。

No more wait time for results.

不需要花时间等待结果。

She has the data available when she needs it the most.

在最需要的时候，她有可用的数据。

With medical-grade technology as easy as wearing a bra,

有了医疗级的技术 以及容易佩戴的胸罩，

we could catch up, close the data gap,

我们可以追上和缩小数据鸿沟，

enable easier participation in clinical trials

使临床试验更容易参与

and bring women's health care into the 21st century.

并把女性的健康医护带进21世纪。

The more women that wear these augmented bras,

越多的女性穿戴这些增强胸罩，

the faster we can create a truly meaningful and inclusive data set

我们就能够越快地构建 真正有意义和包容性的

on women's health.

女性健康数据集。

Collectively, this data can enable breakthroughs

总的来说，这些数据能够带来

in digital diagnostics and therapeutics

数字诊断和疗法的突破，

to solve some of the biggest health-care challenges

去解决今天人类面临的

humanity faces today.

一些最大的医疗健康挑战。

With our unique biological data,

有了这些独特的生物数据，

our ability to gather more and more of it

我们收集越来越多数据的能力

and our ability to learn from it using AI,

以及使用AI洞察的能力，

the dream of making medicine without bias and truly personal

不带偏见和真正个性化的制药梦想

can be achieved.

就可以实现了。

And that, of course, benefits all of us.

那个，当然，造福我们所有人。

Thank you.

谢谢。

(Cheers and applause)

（掌声和欢呼声）