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Meet Nima, the food tester that could change your life.

This triangle-shaped food allergen tester is half the size of an iPhone and can detect gluten in any meal.

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Cheerios

During her studies at MIT, Shireen Yates felt sick all the time. She couldn't figure out why.

She assumed her problem was stress until her doctor informed her it was gluten — plus dairy, soy, and eggs. Suddenly, Shireen had food allergies.


Meet Shireen Yates, co-founder and creator of 6SensorLabs. Hi, Shireen! Photo by 6SensorLabs, used with permission.

Around the same time as her diagnosis, Shireen met Scott Sundvor, a fellow MIT student with food sensitivities of his own. The rest is history: Fed up with the lack of practical ways to test their food for gluten, Shireen and Scott co-founded 6SensorLabs, a lab where they planned to invent a food allergy tool for the masses. Their colleague Jingqing Zhang, an MIT Ph.D. candidate whose husband has celiac disease, became the company's lead scientist.

Nothing brings people together for the holidays like a festive family dinner. But Shireen knew that for food allergy sufferers, there could be danger lurking in every entrée.

Gluten is found in anything containing wheat, rye, or barley. And for most people, it's a normal part of a healthy diet.

But about 1% of Americans suffer from celiac disease, an immune response to gluten that harms the intestines. And six times as many people have non-celiac gluten sensitivities.

Yum, gluten. Photo by iStock.

“It definitely affects the person who's afflicted, but certainly everyone's social circle too," says Shireen.

So as much as you want to trust that Grandma remembered to make gluten-free pecan pie for the holiday meal, how can you be sure before taking a bite?

You could always whip out your pocket-sized chemistry set and run some tests. No, really.

Shireen and her 6SensorLabs team just announced their new tool, called Nima. It's a triangle-shaped food allergen tester that's half the size of an iPhone and will be available in mid-2016.

Nima didn't find gluten in this meal — happy face! Photo by 6SensorLabs, used with permission.

Here's how it works: Before you help yourself to that pie, you slip a sample from your plate into one of the device's disposable capsules. Then, you put the capsule into the electronic sensor. Nima extracts the protein, binds it with an antibody, and reads the concentration through the sensor.

Two minutes later, boom — it lights up with your answer! You get a smiley face for gluten levels under the FDA gluten-free threshold, and a frowny face for higher concentrations.

Right now, Nima can only test for gluten, but the company is on track to release models for people with peanut and dairy allergies in 2017.

It could be a total game-changer.

Nima will also sync with an iPhone app, which will record the foods you test and where you test them, ultimately letting you view data from other users all over the map.

“Really, the whole inspiration is around helping people enjoy mealtime and being able to be social and celebrate eating without being super stressed-out," says Shireen.

This simple access to data could be powerful enough to make mealtime cheerier for people with food allergies — during the holiday season and throughout the year. Fingers crossed!

Pop Culture

Artist uses AI to create ultra realistic portraits of celebrities who left us too soon

What would certain icons look like if nothing had happened to them?

Mercury would be 76 today.

Some icons have truly left this world too early. It’s a tragedy when anyone doesn’t make it to see old age, but when it happens to a well-known public figure, it’s like a bit of their art and legacy dies with them. What might Freddie Mercury have created if he were granted the gift of long life? Bruce Lee? Princess Diana?

Their futures might be mere musings of our imagination, but thanks to a lot of creativity (and a little tech) we can now get a glimpse into what these celebrities might have looked like when they were older.

Alper Yesiltas, an Istanbul-based lawyer and photographer, created a photography series titled “As If Nothing Happened,” which features eerily realistic portraits of long gone celebrities in their golden years. To make the images as real looking as possible, Yesiltas incorporated various photo editing programs such as Adobe Lightroom and VSCO, as well as the AI photo-enhancing software Remini.

“The hardest part of the creative process for me is making the image feel ‘real’ to me,” Yesiltas wrote about his passion project. “The moment I like the most is when I think the image in front of me looks as if it was taken by a photographer.”

Yesiltas’ meticulousness paid off, because the results are uncanny.

Along with each photo, Yesiltas writes a bittersweet message “wishing” how things might have gone differently … as if nothing happened.
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All images provided by Adewole Adamson

It begins with more inclusive conversations at a patient level

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Adewole Adamson, MD, of the University of Texas, Austin, aims to create more equity in health care by gathering data from more diverse populations by using artificial intelligence (AI), a type of machine learning. Dr. Adamson’s work is funded by the American Cancer Society (ACS), an organization committed to advancing health equity through research priorities, programs and services for groups who have been marginalized.

Melanoma became a particular focus for Dr. Adamson after meeting Avery Smith, who lost his wife—a Black woman—to the deadly disease.

melanoma,  melanoma for dark skin Avery Smith (left) and Adamson (sidenote)

This personal encounter, coupled with multiple conversations with Black dermatology patients, drove Dr. Adamson to a concerning discovery: as advanced as AI is at detecting possible skin cancers, it is heavily biased.

To understand this bias, it helps to first know how AI works in the early detection of skin cancer, which Dr. Adamson explains in his paper for the New England Journal of Medicine (paywall). The process uses computers that rely on sets of accumulated data to learn what healthy or unhealthy skin looks like and then create an algorithm to predict diagnoses based on those data sets.

This process, known as supervised learning, could lead to huge benefits in preventive care.

After all, early detection is key to better outcomes. The problem is that the data sets don’t include enough information about darker skin tones. As Adamson put it, “everything is viewed through a ‘white lens.’”

“If you don’t teach the algorithm with a diverse set of images, then that algorithm won’t work out in the public that is diverse,” writes Adamson in a study he co-wrote with Smith (according to a story in The Atlantic). “So there’s risk, then, for people with skin of color to fall through the cracks.”

Tragically, Smith’s wife was diagnosed with melanoma too late and paid the ultimate price for it. And she was not an anomaly—though the disease is more common for White patients, Black cancer patients are far more likely to be diagnosed at later stages, causing a notable disparity in survival rates between non-Hispanics whites (90%) and non-Hispanic blacks (66%).

As a computer scientist, Smith suspected this racial bias and reached out to Adamson, hoping a Black dermatologist would have more diverse data sets. Though Adamson didn’t have what Smith was initially looking for, this realization ignited a personal mission to investigate and reduce disparities.

Now, Adamson uses the knowledge gained through his years of research to help advance the fight for health equity. To him, that means not only gaining a wider array of data sets, but also having more conversations with patients to understand how socioeconomic status impacts the level and efficiency of care.

“At the end of the day, what matters most is how we help patients at the patient level,” Adamson told Upworthy. “And how can you do that without knowing exactly what barriers they face?”

american cancer society, skin cacner treatment"What matters most is how we help patients at the patient level."https://www.kellydavidsonstudio.com/

The American Cancer Society believes everyone deserves a fair and just opportunity to prevent, find, treat, and survive cancer—regardless of how much money they make, the color of their skin, their sexual orientation, gender identity, their disability status, or where they live. Inclusive tools and resources on the Health Equity section of their website can be found here. For more information about skin cancer, visit cancer.org/skincancer.

The mesmerizing lost art of darning knit fabric.

For most of human history, people had to make their own clothing by hand, and sewing skills were subsequently passed down from generation to generation. Because clothing was so time-consuming and labor-intensive to make, people also had to know how to repair clothing items that got torn or damaged in some way.

The invention of sewing and knitting machines changed the way we acquire clothing, and the skills people used to possess have largely gone by the wayside. If we get a hole in a sock nowadays, we toss it and replace it. Most of us have no idea how to darn a sock or fix a hole in any knit fabric. It's far easier for us to replace than to repair.

But there are still some among us who do have the skills to repair clothing in a way that makes it look like the rip, tear or hole never happened, and to watch them do it is mesmerizing.

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Joy

Nurse turns inappropriate things men say in the delivery room into ‘inspirational’ art

"Can you move to the birthing ball so I can sleep in the bed?"

Holly the delivery nurse.

After working six years as a labor and delivery nurse Holly, 30, has heard a lot of inappropriate remarks made by men while their partners are in labor. “Sometimes the moms think it’s funny—and if they think it’s funny, then I’ll laugh with them,” Holly told TODAY Parents. “But if they get upset, I’ll try to be the buffer. I’ll change the subject.”

Some of the comments are so wrong that she did something creative with them by turning them into “inspirational” quotes and setting them to “A Thousand Miles” by Vanessa Carlton on TikTok.

“Some partners are hard to live up to!” she jokingly captioned the video.

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