A Million Patients Have Innovated Their Own Medical Solutions, And Doctors Are Terrified
In the fall of 2017, patient advocate Renza Scibilia told a conference of endocrinologists in Australia about new, patient-developed artificial pancreas technology that helped her manage her Type 1 diabetes.
"Because it's not a regulated product, some [doctors] were worried and said 'What if it goes wrong?'"
"They were in equal measure really interested and really scared," recalled Scibilia. "Because it's not a regulated product, some were worried and said 'What if it goes wrong? What is my liability going to be?'"
That was two years ago. Asked if physicians have been more receptive to the same "looping" technology now that its benefits have been supported by considerable data (as Leapsmag pointed out in May), Scibilia said, "No. Clinicians are still really insecure. They're always going to be reluctant to accept consumer-driven technology."
This exemplifies a major challenge to the growing Do-It-Yourself (DIY) biohealth movement: physicians are unnerved and worried about innovations developed by patients and other consumers that haven't been tested in elaborate clinical trials or sanctioned by regulatory authorities.
"It's difficult for patients who develop new health technology to demonstrate the advantage in a way that physicians would accept." said Howard DeMonaco, visiting scientist at MIT's Sloan School of Management. "New approaches to the treatment of diseases are by definition suspect to clinicians. Most are risk averse unless there is a substantial advantage to the new approach and the risks in doing so appear to be minimized."
Nevertheless, the DIY biohealth movement is booming. About a million people reported that they created medical innovations to address their own medical needs in surveys conducted from 2010-2015 in the U.S., U.K., Finland, Canada and South Korea.
Add in other DIY health innovations created in homes, community biolabs and "Maker" health fairs, and it's clear that health care providers are increasingly confronted with medical devices, information technology, and even medications that were developed in unconventional settings and lack the blessing of regulatory authorities.
Researchers in Portugal have tried to spread the word about many of these solutions on the Patent Innovations website, which has more than 500 examples, ranging from a 3-D printed arm and hand to a sensor device that warns someone when an osteomy bag is full.
When Reddit asked medical professionals, "What is the craziest DIY health treatment you've seen a patient attempt?" thousands shared horror stories.
But even in this era of patient empowerment, more widespread use of DIY health solutions still depends upon the approval and cooperation of physicians, nurses and other caregivers. And health care providers still lack awareness of promising patient-developed innovations, according to Dr. Joyce Lee, a pediatric endocrinologist at the University of Michigan who advocates involving patients in the design of healthcare technology. "Most physicians are scared of what they don't know," she said.
They're also understandably worried about patients who don't know what they're doing and make irresponsible decisions. When Reddit asked medical professionals, "What is the craziest DIY health treatment you've seen a patient attempt?" thousands shared horror stories, including a man who poked a hole in his belly button with a knitting needle to relieve gas.
Yet DeMonaco and Lee think it's possible to start bridging the gaps between responsible patient innovators and skeptical doctors as well as unprepared regulatory systems.
One obstacle to consumer-driven health innovations is that clinical trials to prove their safety and effectiveness are expensive and time-consuming, as De Monaco points out in a recent article. He and his colleagues suggested that low-cost clinical trials by and for patients could help address this challenge. They urged patients to publish their own research and detail the impact of innovations on their own health, and create databases that incorporate the findings of other patients.
For example, Adam Brown, who has Type 1 diabetes, compared the effects of low and high carbohydrate diets on his blood sugar management, and conveyed the results in an online journal. "Sharing the information allowed others to copy the experiment," the article noted, suggesting that this could be a model to create multi-patient trials that could be "analyzed by expert patients and/or by professionals."
Asked how to convince health care providers to consider such research, DeMonaco cited the example of doctors prescribing "off label" drugs for purposes that aren't approved by the FDA. "The secret to off label use, like any other user innovation, is dissemination," he said. Sharing case reports and other low-cost research serves to disseminate the information "in a way that is comfortable for physicians," he said, and urged patient innovators to take the same approach.
The FDA regulates commercial products and has no authority if consumers want to use medical devices, medications, or information systems that they find on their own.
Physicians should also be encouraged to engage in patient-driven research, said Dr. Lee. She suggests forming "maker spaces in which patients and physicians are involved in designing personalized technology for chronic diseases. In my vision, patient peers would build, iterate, and learn from each other and the doctor would be part of the team, constantly assessing and evaluating the technology and facilitating the process."
Some kind of regulatory oversight of DIY health technology is also necessary, said Todd Kuiken, senior research scholar at NC State and former principal investigator at the Woodrow Wilson Center's Synthetic Biology Project.
The FDA regulates commercial products and has no authority if consumers want to use medical devices, medications, or information systems that they find on their own. But that doesn't stop regulators from worrying about patients who use them. For example, the FDA issued a warning about diabetes looping technology earlier this year after one diabetic was hospitalized with hypoglycemia.
Kuiken, for one, believes that citizen-driven innovation requires oversight "to move forward." He suggested that Internal Review Boards, with experts on medical technology, safety and ethics, could play a helpful role in validating the work of patient innovators and others engaged in DIY health research. "As people are developing health products, there would be experts available to take a look and check in," he said.
Kuiken pointed out that in native American territories, tribally based IRBs working with the national Indian Health Services help to oversee new health science research. The model could be applied more broadly.
He also offered hope to those who want to integrate the current health regulatory structure into the ecosystem of DIY health innovations. "I didn't expect people from the FDA or NIH to show up" he said about a workshop on citizen-driven biomedical research that he helped organize at the Wilson Center last year. But senior officials from both agencies attended.
He indicated they "were open to new ideas." While he wouldn't disclose contributions made by individual participants in the workshop, he said the government staffers were "very interested in figuring out how to engage with citizen health innovators, to build bridges with the DIY community."
"Why should we wait for regulatory bodies? Why wait for trials that take too long?"
Time will tell whether those bridges will be built quickly enough to increase the comfort of physicians with health innovations developed by patients and other consumers. In the meantime, DIY health innovators like patient advocate Scibilia are undeterred.
"Why should we wait for regulatory bodies?" she asked. "Why wait for trials that take too long? There are plenty of data out there indicating the [diabetes looping] technology works. So we're just going to do it. We're not waiting."
A new injection is helping stave off RSV this season
In November 2021, Mickayla Wininger’s then one-month-old son, Malcolm, endured a terrifying bout with RSV, the respiratory syncytial (sin-SISH-uhl) virus—a common ailment that affects all age groups. Most people recover from mild, cold-like symptoms in a week or two, but RSV can be life-threatening in others, particularly infants.
Wininger, who lives in southern Illinois, was dressing Malcolm for bed when she noticed what seemed to be a minor irregularity with this breathing. She and her fiancé, Gavin McCullough, planned to take him to the hospital the next day. The matter became urgent when, in the morning, the boy’s breathing appeared to have stopped.
After they dialed 911, Malcolm started breathing again, but he ended up being hospitalized three times for RSV and defects in his heart. Eventually, he recovered fully from RSV, but “it was our worst nightmare coming to life,” Wininger recalled.
It’s a scenario that the federal government is taking steps to prevent. In July, the Food and Drug Administration approved a single-dose, long-acting injection to protect babies and toddlers. The injection, called Beyfortus, or nirsevimab, became available this October. It reduces the incidence of RSV in pre-term babies and other infants for their first RSV season. Children at highest risk for severe RSV are those who were born prematurely and have either chronic lung disease of prematurity or congenital heart disease. In those cases, RSV can progress to lower respiratory tract diseases such as pneumonia and bronchiolitis, or swelling of the lung’s small airway passages.
Each year, RSV is responsible for 2.1 million outpatient visits among children younger than five-years-old, 58,000 to 80,000 hospitalizations in this age group, and between 100 and 300 deaths, according to the Centers for Disease Control and Prevention. Transmitted through close contact with an infected person, the virus circulates on a seasonal basis in most regions of the country, typically emerging in the fall and peaking in the winter.
In August, however, the CDC issued a health advisory on a late-summer surge in severe cases of RSV among young children in Florida and Georgia. The agency predicts "increased RSV activity spreading north and west over the following two to three months.”
Infants are generally more susceptible to RSV than older people because their airways are very small, and their mechanisms to clear these passages are underdeveloped. RSV also causes mucus production and inflammation, which is more of a problem when the airway is smaller, said Jennifer Duchon, an associate professor of newborn medicine and pediatrics in the Icahn School of Medicine at Mount Sinai in New York.
In 2021 and 2022, RSV cases spiked, sending many to emergency departments. “RSV can cause serious disease in infants and some children and results in a large number of emergency department and physician office visits each year,” John Farley, director of the Office of Infectious Diseases in the FDA’s Center for Drug Evaluation and Research, said in a news release announcing the approval of the RSV drug. The decision “addresses the great need for products to help reduce the impact of RSV disease on children, families and the health care system.”
Sean O’Leary, chair of the committee on infectious diseases for the American Academy of Pediatrics, says that “we’ve never had a product like this for routine use in children, so this is very exciting news.” It is recommended for all kids under eight months old for their first RSV season. “I would encourage nirsevimab for all eligible children when it becomes available,” O’Leary said.
For those children at elevated risk of severe RSV and between the ages of 8 and 19 months, the CDC recommends one dose in their second RSV season.
The drug will be “really helpful to keep babies healthy and out of the hospital,” said O’Leary, a professor of pediatrics at the University of Colorado Anschutz Medical Campus/Children’s Hospital Colorado in Denver.
An antiviral drug called Synagis (palivizumab) has been an option to prevent serious RSV illness in high-risk infants since it was approved by the FDA in 1998. The injection must be given monthly during RSV season. However, its use is limited to “certain children considered at high risk for complications, does not help cure or treat children already suffering from serious RSV disease, and cannot prevent RSV infection,” according to the National Foundation for Infectious Diseases.
Until the approval this summer of the new monoclonal antibody, nirsevimab, there wasn’t a reliable method to prevent infection in most healthy infants.
Both nirsevimab and palivizumab are monoclonal antibodies that act against RSV. Monoclonal antibodies are lab-made proteins that mimic the immune system’s ability to fight off harmful pathogens such as viruses. A single intramuscular injection of nirsevimab preceding or during RSV season may provide protection.
The strategy with the new monoclonal antibody is “to extend protection to healthy infants who nonetheless are at risk because of their age, as well as infants with additional medical risk factors,” said Philippa Gordon, a pediatrician and infectious disease specialist in Brooklyn, New York, and medical adviser to Park Slope Parents, an online community support group.
No specific preventive measure is needed for older and healthier kids because they will develop active immunity, which is more durable. Meanwhile, older adults, who are also vulnerable to RSV, can receive one of two new vaccines. So can pregnant women, who pass on immunity to the fetus, Gordon said.
Until the approval this summer of the new monoclonal antibody, nirsevimab, there wasn’t a reliable method to prevent infection in most healthy infants, “nor is there any treatment other than giving oxygen or supportive care,” said Stanley Spinner, chief medical officer and vice president of Texas Children’s Pediatrics and Texas Children’s Urgent Care.
As with any virus, washing hands frequently and keeping infants and children away from sick people are the best defenses, Duchon said. This approach isn’t foolproof because viruses can run rampant in daycare centers, schools and parents’ workplaces, she added.
Mickayla Wininger, Malcolm’s mother, insists that family and friends wear masks, wash their hands and use hand sanitizer when they’re around her daughter and two sons. She doesn’t allow them to kiss or touch the children. Some people take it personally, but she would rather be safe than sorry.
Wininger recalls the severe anxiety caused by Malcolm's ordeal with RSV. After returning with her infant from his hospital stays, she was terrified to go to sleep. “My fiancé and I would trade shifts, so that someone was watching over our son 24 hours a day,” she said. “I was doing a night shift, so I would take caffeine pills to try and keep myself awake and would end up crashing early hours in the morning and wake up frantically thinking something happened to my son.”
Two years later, her anxiety has become more manageable, and Malcolm is doing well. “He is thriving now,” Wininger said. He recently had his second birthday and "is just the spunkiest boy you will ever meet. He looked death straight in the eyes and fought to be here today.”
Story by Big Think
For most of history, artificial intelligence (AI) has been relegated almost entirely to the realm of science fiction. Then, in late 2022, it burst into reality — seemingly out of nowhere — with the popular launch of ChatGPT, the generative AI chatbot that solves tricky problems, designs rockets, has deep conversations with users, and even aces the Bar exam.
But the truth is that before ChatGPT nabbed the public’s attention, AI was already here, and it was doing more important things than writing essays for lazy college students. Case in point: It was key to saving the lives of tens of millions of people.
AI-designed mRNA vaccines
As Dave Johnson, chief data and AI officer at Moderna, told MIT Technology Review‘s In Machines We Trust podcast in 2022, AI was integral to creating the company’s highly effective mRNA vaccine against COVID. Moderna and Pfizer/BioNTech’s mRNA vaccines collectively saved between 15 and 20 million lives, according to one estimate from 2022.
Johnson described how AI was hard at work at Moderna, well before COVID arose to infect billions. The pharmaceutical company focuses on finding mRNA therapies to fight off infectious disease, treat cancer, or thwart genetic illness, among other medical applications. Messenger RNA molecules are essentially molecular instructions for cells that tell them how to create specific proteins, which do everything from fighting infection, to catalyzing reactions, to relaying cellular messages.
Johnson and his team put AI and automated robots to work making lots of different mRNAs for scientists to experiment with. Moderna quickly went from making about 30 per month to more than one thousand. They then created AI algorithms to optimize mRNA to maximize protein production in the body — more bang for the biological buck.
For Johnson and his team’s next trick, they used AI to automate science, itself. Once Moderna’s scientists have an mRNA to experiment with, they do pre-clinical tests in the lab. They then pore over reams of data to see which mRNAs could progress to the next stage: animal trials. This process is long, repetitive, and soul-sucking — ill-suited to a creative scientist but great for a mindless AI algorithm. With scientists’ input, models were made to automate this tedious process.
“We don’t think about AI in the context of replacing humans,” says Dave Johnson, chief data and AI officer at Moderna. “We always think about it in terms of this human-machine collaboration, because they’re good at different things. Humans are really good at creativity and flexibility and insight, whereas machines are really good at precision and giving the exact same result every single time and doing it at scale and speed.”
All these AI systems were in put in place over the past decade. Then COVID showed up. So when the genome sequence of the coronavirus was made public in January 2020, Moderna was off to the races pumping out and testing mRNAs that would tell cells how to manufacture the coronavirus’s spike protein so that the body’s immune system would recognize and destroy it. Within 42 days, the company had an mRNA vaccine ready to be tested in humans. It eventually went into hundreds of millions of arms.
Biotech harnesses the power of AI
Moderna is now turning its attention to other ailments that could be solved with mRNA, and the company is continuing to lean on AI. Scientists are still coming to Johnson with automation requests, which he happily obliges.
“We don’t think about AI in the context of replacing humans,” he told the Me, Myself, and AI podcast. “We always think about it in terms of this human-machine collaboration, because they’re good at different things. Humans are really good at creativity and flexibility and insight, whereas machines are really good at precision and giving the exact same result every single time and doing it at scale and speed.”
Moderna, which was founded as a “digital biotech,” is undoubtedly the poster child of AI use in mRNA vaccines. Moderna recently signed a deal with IBM to use the company’s quantum computers as well as its proprietary generative AI, MoLFormer.
Moderna’s success is encouraging other companies to follow its example. In January, BioNTech, which partnered with Pfizer to make the other highly effective mRNA vaccine against COVID, acquired the company InstaDeep for $440 million to implement its machine learning AI across its mRNA medicine platform. And in May, Chinese technology giant Baidu announced an AI tool that designs super-optimized mRNA sequences in minutes. A nearly countless number of mRNA molecules can code for the same protein, but some are more stable and result in the production of more proteins. Baidu’s AI, called “LinearDesign,” finds these mRNAs. The company licensed the tool to French pharmaceutical company Sanofi.
Writing in the journal Accounts of Chemical Research in late 2021, Sebastian M. Castillo-Hair and Georg Seelig, computer engineers who focus on synthetic biology at the University of Washington, forecast that AI machine learning models will further accelerate the biotechnology research process, putting mRNA medicine into overdrive to the benefit of all.
This article originally appeared on Big Think, home of the brightest minds and biggest ideas of all time.