Science
Meet the researcher shining a light on the “white lens” of medical AI in skin cancer prevention
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.
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?”
"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.
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via British Ecological Society
In 2018, researchers from ETH-Zurich and the University of Hawaii spread 30 dump trucks worth of coffee pulp over a roughly 100' x 130' area of degraded land in Costa Rica. The experiment took place on a former coffee farm that underwent rapid deforestation in the 1950s.
The coffee pulp was spread three-feet thick over the entire area.
Another plot of land near the coffee pulp dump was left alone to act as a control for the experiment.
"The results were dramatic." Dr. Rebecca Cole, lead author of the study, said. "The area treated with a thick layer of coffee pulp turned into a small forest in only two years while the control plot remained dominated by non-native pasture grasses."
In just two years, the area treated with coffee pulp had an 80% canopy cover, compared to just 20% of the control area. So, the coffee-pulp-treated area grew four times more rapidly. Like a jolt of caffeine, it reinvigorated biological activity in the area.
The canopy was also four times taller than that of the control.
via British Ecological Society
The coffee-treated area also eliminated an invasive species of grass that took over the land and prevented forest succession. Its elimination allowed for other native species to take over and recolonize the area.
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If the results are repeatable it's a win-win for coffee drinkers and the environment.
Researchers believe that coffee treatments can be a cost-effective way to reforest degraded land. They may also work to reverse the effects of climate change by supporting the growth of forests across the globe.
The 2016 Paris Agreement made reforestation an important part of the fight against climate change. The agreement incentivizes developing countries to reduce deforestation and forest degradation, promote forest conservation and sustainable management, and enhance forest carbon stocks in developing countries.
"We hope our study is a jumping off point for other researchers and industries to take a look at how they might make their production more efficient by creating links to the global restoration movement," Dr. Cole said.