Some argue that transgender females should be banned from competing with women in sports, while others think such bans are unfair, as the NCAA and other organizations try to keep up with research on how testosterone affects performance.
Ashley O’Connor, who was biologically male at birth but identifies as female, decided to compete in badminton as a girl during her senior year of high school in Downers Grove, Illinois. There was no team for boys, and a female friend and badminton player “practically bullied me into joining” the girls’ team. O’Connor, who is 18 and taking hormone replacement therapy for her gender transition, recalled that “it was easily one of the best decisions I have ever made.”
She believes there are many reasons why it’s important for transgender people to have the option of playing sports on the team of their choice. “It provides a sense of community,” said O’Connor, now a first-year student concentrating in psychology at the College of DuPage in Glen Ellyn, Illinois.
“It’s a great way to get a workout, which is good for physical and mental health,” she added. She also enjoyed the opportunity to be competitive, learn about her strengths and weaknesses, and just be normal. “Trans people have friends and trans people want to play sports with their friends, especially in adolescence,” she said.
However, in 18 states, many of which are politically conservative, laws prohibit transgender students from participating in sports consistent with their gender identity, according to the Movement Advancement Project, an independent, nonprofit think tank based in Boulder, Colo., that focuses on the rights of LGBTQ people. The first ban was passed in Idaho in 2020, although federal district judges have halted this legislation and a similar law in West Virginia from taking effect.
Proponents of the bans caution that transgender females would have an unfair biological advantage in competitive school sports with other girls or women as a result of being born as stronger males, potentially usurping the athletic accomplishments of other athletes.
“The future of women’s sports is at risk, and the equal rights of female athletes is being infringed,” said Penny Nance, CEO and president of Concerned Women for America, a legislative action committee in D.C. that seeks to impact culture to promote religious values.
“As the tidal wave of gender activism consumes sports from the Olympics on down, a backlash is being felt as parents are furious about the disregard for their daughters who have worked very hard to achieve success as athletes,” Nance added. “Former athletes, whose records are being shattered, are demanding answers.”
Meanwhile, opponents of the bans contend that they bar transgender athletes from playing sports with friends and learning the value of teamwork and other life lessons. These laws target transgender girls most often in kindergarten through high school but sometimes in college as well. Many local schools and state athletic associations already have their own guidelines “to both protect transgender people and ensure a level playing field for all athletes,” according to the Movement Advancement Project’s website. But statewide bans take precedence over these policies.
"It’s easy to sympathize on some level with arguments on both sides, and it’s likely going to be impossible to make everyone happy,” said Liz Joy, a past president of the American College of Sports Medicine.
In January, the National Collegiate Athletic Association (NCAA), based in Indianapolis, tried to sort out the controversy by implementing a new policy. It requires transgender students participating in female sports to prove that they’ve been taking treatments to suppress testosterone for at least one year before competition, as well as demonstrating that their testosterone level is sufficiently low, depending on the sport, through a blood test.
Then, in August, the NCAA clarified that these athletes also must take another blood test six months after their season has started that shows their testosterone levels aren’t too high. Additional guidelines will take effect next August.
Even with these requirements, “there is no plan that is going to be considered equitable and fair to all,” said Bradley Anawalt, an endocrinologist at the University of Washington School of Medicine. Biologically, he noted, there is still some evidence that a transgender female who initiates hormone therapy with estrogen and drops her testosterone to very low levels may have some advantage over other females, based on characteristics such as hand and foot size, height and perhaps strength.
Liz Joy, a past president of the American College of Sports Medicine, agrees that allowing transgender athletes to compete on teams of their self-identifying gender poses challenges. “It’s easy to sympathize on some level with arguments on both sides, and it’s likely going to be impossible to make everyone happy,” said Joy, a physician and senior medical director of wellness and nutrition at Intermountain Healthcare in Salt Lake City, Utah. While advocating for inclusion, she added that “sport was incredibly important in my life. I just want everyone to be able to benefit from it.”
One solution may be to allow transgender youth to play sports in a way that aligns with their gender identity until a certain age and before an elite level. “There are minimal or no potential financial stakes for most youth sports before age 13 or 14, and you do not have a lot of separation in athlete performance between most boys and girls until about age 13,” said Anwalt, who was a reviewer of the Endocrine Society’s national guidelines on transgender care.
Myron Genel, a professor emeritus and former chief of pediatric endocrinology at Yale School of Medicine, said it’s difficult to argue that height gives transgender females an edge because in some sports tall women already dominate over their shorter counterparts.
He added that the decision to allow transgender females to compete with other girls or women could hinge on when athletes began taking testosterone blockers. “If the process of conversion from male to female has been undertaken in the early stages of puberty, from my perspective, they have very little unique advantage,” said Genel, who advised the International Olympic Committee (IOC), based in Switzerland, on testosterone limits for transgender athletes.
Because young athletes’ bodies are still developing, “the differences in natural abilities are so massive that they would overwhelm any advantage a transgender athlete might have,” said Thomas H. Murray, president emeritus of The Hastings Center, a pioneering bioethics research institute in Garrison, New York, and author of the book “Good Sport,” which focuses on the ethics and values in the Olympics and other competitions.
“There’s no good reason to limit the participation of transgender athletes in the sports where male athletes don’t have an advantage over women,” such as sailing, archery and shooting events, Murray said. “The burden of proof rests on those who want to restrict participation by transgender athletes. They must show that in this sport, at this level of competition, transgender athletes have a conspicuous advantage.”
Last year, the IOC issued a new framework emphasizing that the Olympic rules related to transgender participation should be specific to each sport. “This is an evolving topic and there has been—as it will continue to be—new research coming out and new developments informing our approach,” and there’s currently no consensus on how testosterone affects performance across all sports, an IOC spokesperson told Leaps.org.
Many of the new laws prohibiting transgender people from competing in sports consistent with their gender identity specifically apply to transgender females. Yet, some experts say the issue also affects transgender males, nonbinary and intersex athletes.
“There has been quite a bit of attention paid to transgender females and their participation in biological female sports and almost minimal focus on transgender male competition in male sports or in any sports,” said Katherine Drabiak, associate professor of public health law and medical ethics at University of South Florida in Tampa. In fact, “transgender men, because they were born female, would be at a disadvantage of having less lean body mass, less strength and less muscular area as a general category compared to a biological male.”
While discussing transgender students’ participation in sports, it’s important to call attention to the toll that anti-transgender legislation can take on these young people’s well-being, said Jonah DeChants, a research scientist at The Trevor Project, a suicide prevention and mental health organization for LGBTQ youth. Recent polling found that 85 percent of transgender and nonbinary youth said that debates around anti-transgender laws had a negative impact on their mental health.
“The reality is simple: Most transgender girls want to play sports for the same reasons as any student—to benefit their health, to have fun, and to build connection with friends,” DeChants said. According to a new peer-reviewed qualitative study by researchers at The Trevor Project, many trans girls who participated in sports experienced harassment and stigma based on their gender identity, which can contribute to poor mental health outcomes and suicide risk.
In addition to badminton, O'Connor played other sports such as volleyball, and she plans to become an assistant coach or manager of her old high school's badminton team.
Ashley O'Connor
However, DeChants added, research also shows that young people who reported living in an accepting community, had access to LGBTQ-affirming spaces, or had social support from family and friends reported significantly lower rates of attempting suicide in the past year. “We urge coaches, educators and school administrators to seek LGBTQ-cultural competency training, implement zero tolerance policies for anti-trans bullying, and create safe, affirming environments for all transgender students on and off the field,” DeChants said.
O’Connor said her experiences on the athletic scene have been mostly positive. The politics of her community lean somewhat liberal, and she thinks it’s probably more supportive than some other areas of the country, though she noted the local library has received threats for hosting LGBTQ events. In addition to badminton, she also played baseball, lacrosse, volleyball, basketball and hockey. In the spring, she plans to become an assistant coach or manager for the girls’ badminton team at her old high school.
“When I played badminton, I never got any direct backlash from any coaches, competitors or teammates,” she said. “I had a few other teammates that identified as trans or nonbinary, [and] nearly all of the people I ever interacted with were super pleasant and treated me like any other normal person.” She added that transgender athletes “have aspirations. We have wants and needs. We have dreams. And at the end of the day, we just want to live our lives and be happy like everyone else.”
Basecamp Research is using portable labs like this one to gather samples from ecosystems around the world.
Clark works for Basecamp Research, a biotech company headquartered in London, and his job is to collect samples from ecosystems around the world. By extracting DNA from soil, water, plants, microbes and other organisms, Basecamp is building an extensive database of the Earth’s proteins. While DNA itself isn’t a protein, the information stored in DNA is used to create proteins, so extracting, sequencing, and annotating DNA allows for the discovery of unique protein sequences.
Using what they’re finding in the middle of the Atlantic and beyond, Basecamp’s detailed database is constantly growing. The outputs could be essential for cleaning up the damage done by toxic chemicals and finding alternatives to these chemicals.
Catalysts for change
Proteins provide structure and function in all living organisms. Some of these functional proteins are enzymes, which quite literally make things happen.
“Industrial chemistry is heavily polluting, especially the chemistry done in pharmaceutical drug development. Biocatalysis is providing advantages, both to make more complex drugs and to be more sustainable, reducing the pollution and toxicity of conventional chemistry," says Ahir Pushpanath, who heads partnerships for Basecamp.
“Enzymes are perfectly evolved catalysts,” says Ahir Pushpanath, a partnerships lead at Basecamp. ”Enzymes are essentially just a polymer, and polymers are made up of amino acids, which are nature’s building blocks.” He suggests thinking about it like Legos — if you have a bunch of Lego pieces and use them to build a structure that performs a function, “that’s basically how an enzyme works. In nature, these monuments have evolved to do life’s chemistry. If we didn’t have enzymes, we wouldn’t be alive.”
In our own bodies, enzymes catalyze everything from vision to digesting food to regrowing muscles, and these same types of enzymes are necessary in the pharmaceutical, agrochemical and fine chemical industries. But industrial conditions differ from those inside our bodies. So, when scientists need certain chemical reactions to create a particular product or substance, they make their own catalysts in their labs — generally through the use of petroleum and heavy metals.
These petrochemicals are effective and cost-efficient, but they’re wasteful and often hazardous. With growing concerns around sustainability and long-term public health, it's essential to find alternative solutions to toxic chemicals. “Industrial chemistry is heavily polluting, especially the chemistry done in pharmaceutical drug development,” Pushpanath says.
Basecamp is trying to replace lab-created catalysts with enzymes found in the wild. This concept is called biocatalysis, and in theory, all scientists have to do is find the right enzymes for their specific need. Yet, historically, researchers have struggled to find enzymes to replace petrochemicals. When they can’t identify a suitable match, they turn to what Pushpanath describes as “long, iterative, resource-intensive, directed evolution” in the laboratory to coax a protein into industrial adaptation. But the latest scientific advances have enabled these discoveries in nature instead.
Marlon Clark, a research scientist at Basecamp Research, looks for novel biochemistries in the Azores.
Glen Gowers
Enzyme hunters
Whether it’s Clark and a colleague setting off on an expedition, or a local, on-the-ground partner gathering and processing samples, there’s a lot to be learned from each collection. “Microbial genomes contain complete sets of information that define an organism — much like how letters are a code allowing us to form words, sentences, pages, and books that contain complex but digestible knowledge,” Clark says. He thinks of the environmental samples as biological libraries, filled with thousands of species, strains, and sequence variants. “It’s our job to glean genetic information from these samples.”
“We can actually dream up new proteins using generative AI," Pushpanath says.
Basecamp researchers manage this feat by sequencing the DNA and then assembling the information into a comprehensible structure. “We’re building the ‘stories’ of the biota,” Clark says. The more varied the samples, the more valuable insights his team gains into the characteristics of different organisms and their interactions with the environment. Sequencing allows scientists to examine the order of nucleotides — the organic molecules that form DNA — to identify genetic makeups and find changes within genomes. The process used to be too expensive, but the cost of sequencing has dropped from $10,000 a decade ago to as low as $100. Notably, biocatalysis isn’t a new concept — there have been waves of interest in using natural enzymes in catalysis for over a century, Pushpanath says. “But the technology just wasn’t there to make it cost effective,” he explains. “Sequencing has been the biggest boon.”
AI is probably the second biggest boon.
“We can actually dream up new proteins using generative AI,” Pushpanath says, which means that biocataylsis now has real potential to scale.
Glen Gowers, the co-founder of Basecamp, compares the company’s AI approach to that of social networks and streaming services. Consider how these platforms suggest connecting with the friends of your friends, or how watching one comedy film from the 1990s leads to a suggestion of three more.
“They’re thinking about data as networks of relationships as opposed to lists of items,” says Gowers. “By doing the same, we’re able to link the metadata of the proteins — by their relationships to each other, the environments in which they’re found, the way those proteins might look similar in sequence and structure, their surrounding genome context — really, this just comes down to creating a searchable network of proteins.”
On an Azores island, this volcanic opening may harbor organisms that can help scientists identify enzymes for biocatalysis to replace toxic chemicals.
Emma Bolton
Uwe Bornscheuer, professor at the Institute of Biochemistry at the University of Greifswald, and co-founder of Enzymicals, another biocatalysis company, says that the development of machine learning is a critical component of this work. “It’s a very hot topic, because the challenge in protein engineering is to predict which mutation at which position in the protein will make an enzyme suitable for certain applications,” Bornscheuer explains. These predictions are difficult for humans to make at all, let alone quickly. “It is clear that machine learning is a key technology.”
Benefiting from nature’s bounty
Biodiversity commonly refers to plants and animals, but the term extends to all life, including microbial life, and some regions of the world are more biodiverse than others. Building relationships with global partners is another key element to Basecamp’s success. Doing so in accordance with the access and benefit sharing principles set forth by the Nagoya Protocol — an international agreement that seeks to ensure the benefits of using genetic resources are distributed in a fair and equitable way — is part of the company's ethos. “There's a lot of potential for us, and there’s a lot of potential for our partners to have exactly the same impact in building and discovering commercially relevant proteins and biochemistries from nature,” Clark says.
Bornscheuer points out that Basecamp is not the first company of its kind. A former San Diego company called Diversa went public in 2000 with similar work. “At that time, the Nagoya Protocol was not around, but Diversa also wanted to ensure that if a certain enzyme or microorganism from Costa Rica, for example, were used in an industrial process, then people in Costa Rica would somehow profit from this.”
An eventual merger turned Diversa into Verenium Corporation, which is now a part of the chemical producer BASF, but it laid important groundwork for modern companies like Basecamp to continue to scale with today’s technologies.
“To collect natural diversity is the key to identifying new catalysts for use in new applications,” Bornscheuer says. “Natural diversity is immense, and over the past 20 years we have gained the advantages that sequencing is no longer a cost or time factor.”
This has allowed Basecamp to rapidly grow its database, outperforming Universal Protein Resource or UniProt, which is the public repository of protein sequences most commonly used by researchers. Basecamp’s database is three times larger, totaling about 900 million sequences. (UniProt isn’t compliant with the Nagoya Protocol, because, as a public database, it doesn’t provide traceability of protein sequences. Some scientists, however, argue that Nagoya compliance hinders progress.)
“Eventually, this work will reduce chemical processes. We’ll have cleaner processes, more sustainable processes," says Uwe Bornscheuer, a professor at the University of Greifswald.
With so much information available, Basecamp’s AI has been trained on “the true dictionary of protein sequence life,” Pushpanath says, which makes it possible to design sequences for particular applications. “Through deep learning approaches, we’re able to find protein sequences directly from our database, without the need for further laboratory-directed evolution.”
Recently, a major chemical company was searching for a specific transaminase — an enzyme that catalyzes a transfer of amino groups. “They had already spent a year-and-a-half and nearly two million dollars to evolve a public-database enzyme, and still had not reached their goal,” Pushpanath says. “We used our AI approaches on our novel database to yield 10 candidates within a week, which, when validated by the client, achieved the desired target even better than their best-evolved candidate.”
Basecamp’s other huge potential is in bioremediation, where natural enzymes can help to undo the damage caused by toxic chemicals. “Biocatalysis impacts both sides,” says Gowers. “It reduces the usage of chemicals to make products, and at the same time, where contamination sites do exist from chemical spills, enzymes are also there to kind of mop those up.”
So far, Basecamp's round-the-world sampling has covered 50 percent of the 14 major biomes, or regions of the planet that can be distinguished by their flora, fauna, and climate, as defined by the World Wildlife Fund. The other half remains to be catalogued — a key milestone for understanding our planet’s protein diversity, Pushpanath notes.
There’s still a long road ahead to fully replace petrochemicals with natural enzymes, but biocatalysis is on an upward trajectory. "Eventually, this work will reduce chemical processes,” Bornscheuer says. “We’ll have cleaner processes, more sustainable processes.”
In an initial study, Canary analyzed speech recordings with AI and identified early stage Alzheimer’s with 96 percent accuracy.
Arnold was diagnosed sooner than many others. It's important to find out early, when interventions can make the most difference. One promising avenue is looking at how people talk. Research has shown that Alzheimer’s affects a part of the brain that controls speech, resulting in small changes before people show other signs of the disease.
Now, Canary Speech, a company based in Utah, is using AI to examine elements like the pitch of a person’s voice and their pauses. In an initial study, Canary analyzed speech recordings with AI and identified early stage Alzheimer’s with 96 percent accuracy.
Developing the AI model
Canary Speech’s CEO, Henry O’Connell, met cofounder Jeff Adams about 40 years before they started the company. Back when they first crossed paths, they were both living in Bethesda, Maryland; O’Connell was a research fellow at the National Institutes of Health studying rare neurological diseases, while Adams was working to decode spy messages. Later on, Adams would specialize in building mathematical models to analyze speech and sound as a team leader in developing Amazon's Alexa.
It wasn't until 2015 that they decided to make use of the fit between their backgrounds. ““We established Canary Speech in 2017 to build a product that could be used in multiple languages in clinical environments,” O'Connell says.
The need is growing. About 55 million people worldwide currently live with Alzheimer’s, a number that is expected to double by 2050. Some scientists think the disease results from a buildup of plaque in the brain. It causes mild memory loss at first and, over time, this issue get worse while other symptoms, such as disorientation and hallucinations, can develop. Treatment to manage the disease is more effective in the earlier stages, but detection is difficult since mild symptoms are often attributed to the normal aging process.
O’Connell and Adams specialize in the complex ways that Alzheimer’s effects how people speak. Using AI, their mathematical model analyzes 15 million data points every minute, focusing on certain features of speech such as pitch, pauses and elongation of words. It also pays attention to how the vibrations of vocal cords change in different stages of the disease.
To create their model, the team used a type of machine learning called deep neural nets, which looks at multiple layers of data - in this case, the multiple features of a person’s speech patterns.
“Deep neural nets allow us to look at much, much larger data sets built out of millions of elements,” O’Connell explained. “Through machine learning and AI, we’ve identified features that are very sensitive to an Alzheimer’s patient versus [people without the disease] and also very sensitive to mild cognitive impairment, early stage and moderate Alzheimer's.” Based on their learnings, Canary is able to classify the disease stage very quickly, O’Connell said.
“When we’re listening to sublanguage elements, we’re really analyzing the direct result of changes in the brain in the physical body,” O’Connell said. “The brain controls your vocal cords: how fast they vibrate, the expansion of them, the contraction.” These factors, along with where people put their tongues when talking, function subconsciously and result in subtle changes in the sounds of speech.
Further testing is needed
In an initial trial, Canary analyzed speech recordings from phone calls to a large U.S. health insurer. They looked at the audio recordings of 651 policyholders who had early stage Alzheimer’s and 1018 who did not have the condition, aiming for a representative sample of age, gender and race. They used this data to create their first diagnostic model and found that it was 96 percent accurate in identifying Alzheimer’s.
Christian Herff, an assistant professor of neuroscience at Maastricht University in the Netherlands, praised this approach while adding that further testing is needed to assess its effectiveness.
“I think the general idea of identifying increased risk for cognitive impairment based on speech characteristics is very feasible, particularly when change in a user’s voice is monitored, for example, by recording speech every year,” Herff said. He noted that this can only be a first indication, not a full diagnosis. The accuracy still needs to be validated in studies that follows individuals over a period of time, he said.
Toby Walsh, a professor of artificial intelligence at the University of New South Wales, also thinks Canary’s tool has potential but highlights that Canary could diagnose some people who don’t really have the disease. “This is an interesting and promising application of AI,” he said, “but these tools need to be used carefully. Imagine the anxiety of being misdiagnosed with Alzheimer’s.”
As with many other AI tools, privacy and bias are additional issues to monitor closely, Walsh said.
Other languages
A related issue is that not everyone is fluent in English. Mahnaz Arvaneh, a senior lecturer in automatic control and systems engineering at the University of Sheffield, said this could be a blind spot.
“The system may not be very accurate for those who have English as their second language as their speaking patterns would be different, and any issue might be because of language deficiency rather than cognitive issues,” Arvaneh said.
The team is expanding to multiple languages starting with Japanese and Spanish. The elements of the model that make up the algorithm are very similar, but they need to be validated and retrained in a different language, which will require access to more data.
Recently, Canary analyzed the phone calls of 233 Japanese patients who had mild cognitive impairment and 704 healthy people. Using an English model they were able to identify the Japanese patients who had mild cognitive impairment with 78 percent accuracy. They also developed a model in Japanese that was 45 percent accurate, and they’re continuing to train it with more data.
The future
Canary is using their model to look at other diseases like Huntington’s and Parkinson’s. They’re also collaborating with pharmaceuticals to validate potential therapies for Alzheimer’s. By looking at speech patterns over time, Canary can get an indication of how well these drugs are working.
Dave Arnold and his wife dance at his nephew’s wedding in Rochester, New York, ten years ago, before his Alzheimer's diagnosis.
Dave Arnold
Ultimately, they want to integrate their tool into everyday life. “We want it to be used in a smartphone, or a teleconference call so that individuals could be examined in their home,” O’Connell said. “We could follow them over time and work with clinical teams and hospitals to improve the evaluation of patients and contribute towards an accurate diagnosis.”
Arnold, the patient with early stage Alzheimer’s, sees great promise. “The process of getting a diagnosis is already filled with so much anxiety,” he said. “Anything that can be done to make it easier and less stressful would be a good thing, as long as it’s proven accurate.”