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 type of cancer therapy is shrinking deadly brain tumors with just one treatment
Few cancers are deadlier than glioblastomas—aggressive and lethal tumors that originate in the brain or spinal cord. Five years after diagnosis, less than five percent of glioblastoma patients are still alive—and more often, glioblastoma patients live just 14 months on average after receiving a diagnosis.
But an ongoing clinical trial at Mass General Cancer Center is giving new hope to glioblastoma patients and their families. The trial, called INCIPIENT, is meant to evaluate the effects of a special type of immune cell, called CAR-T cells, on patients with recurrent glioblastoma.
How CAR-T cell therapy works
CAR-T cell therapy is a type of cancer treatment called immunotherapy, where doctors modify a patient’s own immune system specifically to find and destroy cancer cells. In CAR-T cell therapy, doctors extract the patient’s T-cells, which are immune system cells that help fight off disease—particularly cancer. These T-cells are harvested from the patient and then genetically modified in a lab to produce proteins on their surface called chimeric antigen receptors (thus becoming CAR-T cells), which makes them able to bind to a specific protein on the patient’s cancer cells. Once modified, these CAR-T cells are grown in the lab for several weeks so that they can multiply into an army of millions. When enough cells have been grown, these super-charged T-cells are infused back into the patient where they can then seek out cancer cells, bind to them, and destroy them. CAR-T cell therapies have been approved by the US Food and Drug Administration (FDA) to treat certain types of lymphomas and leukemias, as well as multiple myeloma, but haven’t been approved to treat glioblastomas—yet.
CAR-T cell therapies don’t always work against solid tumors, such as glioblastomas. Because solid tumors contain different kinds of cancer cells, some cells can evade the immune system’s detection even after CAR-T cell therapy, according to a press release from Massachusetts General Hospital. For the INCIPIENT trial, researchers modified the CAR-T cells even further in hopes of making them more effective against solid tumors. These second-generation CAR-T cells (called CARv3-TEAM-E T cells) contain special antibodies that attack EFGR, a protein expressed in the majority of glioblastoma tumors. Unlike other CAR-T cell therapies, these particular CAR-T cells were designed to be directly injected into the patient’s brain.
The INCIPIENT trial results
The INCIPIENT trial involved three patients who were enrolled in the study between March and July 2023. All three patients—a 72-year-old man, a 74-year-old man, and a 57-year-old woman—were treated with chemo and radiation and enrolled in the trial with CAR-T cells after their glioblastoma tumors came back.
The results, which were published earlier this year in the New England Journal of Medicine (NEJM), were called “rapid” and “dramatic” by doctors involved in the trial. After just a single infusion of the CAR-T cells, each patient experienced a significant reduction in their tumor sizes. Just two days after receiving the infusion, the glioblastoma tumor of the 72-year-old man decreased by nearly twenty percent. Just two months later the tumor had shrunk by an astonishing 60 percent, and the change was maintained for more than six months. The most dramatic result was in the 57-year-old female patient, whose tumor shrank nearly completely after just one infusion of the CAR-T cells.
The results of the INCIPIENT trial were unexpected and astonishing—but unfortunately, they were also temporary. For all three patients, the tumors eventually began to grow back regardless of the CAR-T cell infusions. According to the press release from MGH, the medical team is now considering treating each patient with multiple infusions or prefacing each treatment with chemotherapy to prolong the response.
While there is still “more to do,” says co-author of the study neuro-oncologist Dr. Elizabeth Gerstner, the results are still promising. If nothing else, these second-generation CAR-T cell infusions may someday be able to give patients more time than traditional treatments would allow.
“These results are exciting but they are also just the beginning,” says Dr. Marcela Maus, a doctor and professor of medicine at Mass General who was involved in the clinical trial. “They tell us that we are on the right track in pursuing a therapy that has the potential to change the outlook for this intractable disease.”
Since the early 2000s, AI systems have eliminated more than 1.7 million jobs, and that number will only increase as AI improves. Some research estimates that by 2025, AI will eliminate more than 85 million jobs.
But for all the talk about job security, AI is also proving to be a powerful tool in healthcare—specifically, cancer detection. One recently published study has shown that, remarkably, artificial intelligence was able to detect 20 percent more cancers in imaging scans than radiologists alone.
Published in The Lancet Oncology, the study analyzed the scans of 80,000 Swedish women with a moderate hereditary risk of breast cancer who had undergone a mammogram between April 2021 and July 2022. Half of these scans were read by AI and then a radiologist to double-check the findings. The second group of scans was read by two researchers without the help of AI. (Currently, the standard of care across Europe is to have two radiologists analyze a scan before diagnosing a patient with breast cancer.)
The study showed that the AI group detected cancer in 6 out of every 1,000 scans, while the radiologists detected cancer in 5 per 1,000 scans. In other words, AI found 20 percent more cancers than the highly-trained radiologists.
Scientists have been using MRI images (like the ones pictured here) to train artificial intelligence to detect cancers earlier and with more accuracy. Here, MIT's AI system, MIRAI, looks for patterns in a patient's mammograms to detect breast cancer earlier than ever before. news.mit.edu
But even though the AI was better able to pinpoint cancer on an image, it doesn’t mean radiologists will soon be out of a job. Dr. Laura Heacock, a breast radiologist at NYU, said in an interview with CNN that radiologists do much more than simply screening mammograms, and that even well-trained technology can make errors. “These tools work best when paired with highly-trained radiologists who make the final call on your mammogram. Think of it as a tool like a stethoscope for a cardiologist.”
AI is still an emerging technology, but more and more doctors are using them to detect different cancers. For example, researchers at MIT have developed a program called MIRAI, which looks at patterns in patient mammograms across a series of scans and uses an algorithm to model a patient's risk of developing breast cancer over time. The program was "trained" with more than 200,000 breast imaging scans from Massachusetts General Hospital and has been tested on over 100,000 women in different hospitals across the world. According to MIT, MIRAI "has been shown to be more accurate in predicting the risk for developing breast cancer in the short term (over a 3-year period) compared to traditional tools." It has also been able to detect breast cancer up to five years before a patient receives a diagnosis.
The challenges for cancer-detecting AI tools now is not just accuracy. AI tools are also being challenged to perform consistently well across different ages, races, and breast density profiles, particularly given the increased risks that different women face. For example, Black women are 42 percent more likely than white women to die from breast cancer, despite having nearly the same rates of breast cancer as white women. Recently, an FDA-approved AI device for screening breast cancer has come under fire for wrongly detecting cancer in Black patients significantly more often than white patients.
As AI technology improves, radiologists will be able to accurately scan a more diverse set of patients at a larger volume than ever before, potentially saving more lives than ever.