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Here's a vicious football hit.

GIF via the National Football League.


Now here's a truck slamming into a wall at 80 mph.

GIF via the American Chemical Society.

Amazingly, the impacts of these two events aren't all that dissimilar.

According to multiplestudies, the hardest hits in football can register a whopping g-force of more than 130 (or 130 times the acceleration caused by gravity). For reference, an intense roller coaster registers a g-force of about 5. A severe car crash is somewhere around 120.

Key takeaway: If you ever have a choice between being hit by an NFL linebacker or a pickup, choose the truck.

A g-force of 100 is generally considered plenty of force to sustain a concussion (a traumatic brain injury) though the exact threshold isn't known. But the numbers add up. Over 120 players in the NFL were reported to have sustained a concussion last year, not to mention nearly a quarter million young athletes.

The problem for football players, and team doctors, is that there's no good way to tell just how big a hit was from the sidelines.

Again, we don't know exactly what parameters cause concussions. But we do know there are varying grades of severity. We also know you don't have to be hit in the head to get one.

With so many variables, it can be nearly impossible to know when a football player needs to be evaluated for head injury until they start showing symptoms, like memory loss, nausea, or fatigue.

Sometimes these warning signs show up right away. Sometimes not for days or even weeks. And sometimes, players can hide symptoms in order to stay in the game, putting themselves in even greater danger.

Recently, a confused Wisconsin player wandered into the wrong huddle after a blow to the head. GIF via ESPN.

Thankfully, that could all be about to change.

Scientists from the University of Pennsylvania have developed a color-changing material that could instantly — and visually — indicate severe head trauma.

Penn professor Shu Yang and his team are working to fine-tune a chemical strip made of tiny crystals whose color changes depending on how they're arranged. A physical impact that shifts the arrangement of the crystals can turn the material from its original red to other hues:

Green for big impacts. Purple for even bigger impacts.

The impact from that speeding truck turns the crystals purple. Image via the American Chemical Society.

When integrated into football helmets, this kind of instant visual cue could be an incredible tool for team doctors and trainers. While it won't by itself diagnose a concussion or other injury, it will help everyone on the field keep a lookout for players who may need to come out of the game for evaluation.

Meanwhile, other companies and researchers are working on helmets that better displace energy from high-impact collisions and tiny remote sensors that transmit measurements of force directly to doctors on the sidelines.

Together, these innovations could make the game we love a lot safer in the coming years, which is great news because it's a fact:

Football's concussion problem is a big one.

Over the past couple of years, concussions in football have been labeled an "epidemic." There have been rule changes at all levels of the sport. New, safer equipment. Even Hollywood movies.

But perhaps most jarring is the slew of young, promising players walking away from the game entirely for fear of long-term brain damage.

Football is a violent sport. It always has been and likely always will be. The players know that. But we owe it to them to make sure they know when they're really in danger. And to make sure they get the treatment they need before serious injuries, like concussions, get worse.

This new helmet technology could go a long way to that end.

Watch this video from the American Chemical Society to learn more:

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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All images provided by Adewole Adamson

It begins with more inclusive conversations at a patient level

True

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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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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