A decellularized small porcine liver.
Jennifer Cisneros was 18 years old, commuting to college from her family's home outside Annapolis, Maryland, when she came down with what she thought was the flu. Over the following weeks, however, her fatigue and nausea worsened, and her weight began to plummet. Alarmed, her mother took her to see a pediatrician. "When I came back with the urine cup, it was orange," Cisneros recalls. "He was like, 'Oh, my God. I've got to send you for blood work.'"
"Eventually, we'll be better off than with a human organ."
Further tests showed that her kidneys were failing, and at Johns Hopkins Hospital, a biopsy revealed the cause: Goodpasture syndrome (GPS), a rare autoimmune disease that attacks the kidneys or lungs. Cisneros was put on dialysis to filter out the waste products that her body could no longer process, and given chemotherapy and steroids to suppress her haywire immune system.
The treatment drove her GPS into remission, but her kidneys were beyond saving. At 19, Cisneros received a transplant, with her mother as donor. Soon, she'd recovered enough to return to school; she did some traveling, and even took up skydiving and parasailing. Then, after less than two years, rejection set in, and the kidney had to be removed.
She went back on dialysis until she was 26, when a stranger learned of her plight and volunteered to donate. That kidney lasted four years, but gave out after a viral infection. Since 2015, Cisneros—now 32, and working as an office administrator between thrice-weekly blood-filtering sessions—has been waiting for a replacement.
She's got plenty of company. About 116,000 people in the United States currently need organ transplants, but fewer than 35,000 organs become available every year. On average, 20 people on the waiting list die each day. And despite repeated campaigns to boost donorship, the gap shows no sign of narrowing.
"This is going to revolutionize medicine, in ways we probably can't yet appreciate."
For decades, doctors and scientists have envisioned a radical solution to the shortage: harvesting other species for spare parts. Xenotransplantation, as the practice is known, could provide an unlimited supply of lifesaving organs for patients like Cisneros. Those organs, moreover, could be altered by genetic engineering or other methods to reduce the danger of rejection—and thus to eliminate the need for immunosuppressive drugs, whose potential side effects include infections, diabetes, and cancer. "Eventually, we'll be better off than with a human organ," says David Cooper, MD, PhD, co-director of the xenotransplant program at the University of Alabama School of Medicine. "This is going to revolutionize medicine, in ways we probably can't yet appreciate."
Recently, progress toward that revolution has accelerated sharply. The cascade of advances began in April 2016, when researchers at the National Heart, Lung, and Blood Institute (NHLBI) reported keeping pig hearts beating in the abdomens of five baboons for a record-breaking mean of 433 days, with one lasting more than two-and-a-half years. Then a team at Emory University announced that a pig kidney sustained a rhesus monkey for 435 days before being rejected, nearly doubling the previous record. At the University of Munich, in Germany, researchers doubled the record for a life-sustaining pig heart transplant in a baboon (replacing the animal's own heart) to 90 days. Investigators at the Salk Institute and the University of California, Davis, declared that they'd grown tissue in pig embryos using human stem cells—a first step toward cultivating personalized replacement organs. The list goes on.
Such breakthroughs, along with a surge of cash from biotech investors, have propelled a wave of bullish media coverage. Yet this isn't the first time that xenotransplantation has been touted as the next big thing. Twenty years ago, the field seemed poised to overcome its final hurdles, only to encounter a setback from which it is just now recovering.
Which raises a question: Is the current excitement justified? Or is the hype again outrunning the science?
A History of Setbacks
The idea behind xenotransplantation dates back at least as far as the 17th century, when French physician Jean-Baptiste Denys tapped the veins of sheep and cows to perform the first documented human blood transfusions. (The practice was banned after two of the four patients died, probably from an immune reaction.) In the 19th century, surgeons began transplanting corneas from pigs and other animals into humans, and using skin xenografts to aid in wound healing; despite claims of miraculous cures, medical historians believe those efforts were mostly futile. In the 1920s and '30s, thousands of men sought renewed vigor through testicular implants from monkeys or goats, but the fad collapsed after studies showed the effects to be imaginary.
Research shut down when scientists discovered a virus in pig DNA that could infect human cells.
After the first successful human organ transplant in 1954—of a kidney, passed between identical twin sisters—the limited supply of donor organs brought a resurgence of interest in animal sources. Attention focused on nonhuman primates, our species' closest evolutionary relatives. At Tulane University, surgeon Keith Reemstma performed the first chimpanzee-to-human kidney transplants in 1963 and '64. Although one of the 13 patients lived for nine months, the rest died within a few weeks due to organ rejection or infections. Other surgeons attempted liver and heart xenotransplants, with similar results. Even the advent of the first immunosuppressant drug, cyclosporine, in 1983, did little to improve survival rates.
In the 1980s, Cooper—a pioneering heart transplant surgeon who'd embraced the dream of xenotransplantation—began arguing that apes and monkeys might not be the best donor animals after all. "First of all, there's not enough of them," he explains. "They breed in ones and twos, and take years to grow to full size. Even then, their hearts aren't big enough for a 70-kg. patient." Pigs, he suggested, would be a more practical alternative. But when he tried transplanting pig organs into nonhuman primates (as surrogates for human recipients), they were rejected within minutes.
In 1992, Cooper's team identified a sugar on the surface of porcine cells, called alpha-1,3-galactose (a-gal), as the main target for the immune system's attack. By then, the first genetically modified pigs had appeared, and biotech companies—led by the Swiss-based pharma giant Novartis—began pouring millions of dollars into developing one whose organs could elude or resist the human body's defenses.
Disaster struck five years later, when scientists reported that a virus whose genetic code was written into pig DNA could infect human cells in lab experiments. Although there was no evidence that the virus, known as PERV (for porcine endogenous retrovirus) could cause disease in people, the discovery stirred fears that xenotransplants might unleash a deadly epidemic. Facing scrutiny from government regulators and protests from anti-GMO and animal-rights activists, Novartis "pulled out completely," Cooper recalls. "They slaughtered all their pigs and closed down their research facility." Competitors soon followed suit.
The riddles surrounding animal-to-human transplants are far from fully solved.
A New Chapter – With New Questions
Yet xenotransplantation's visionaries labored on, aided by advances in genetic engineering and immunosuppression, as well as in the scientific understanding of rejection. In 2003, a team led by Cooper's longtime colleague David Sachs, at Harvard Medical School, developed a pig lacking the gene for a-gal; over the next few years, other scientists knocked out genes expressing two more problematic sugars. In 2013, Muhammad Mohiuddin, then chief of the transplantation section at the NHLBI, further modified a group of triple-knockout pigs, adding genes that code for two human proteins: one that shields cells from attack by an immune mechanism known as the complement system; another that prevents harmful coagulation. (It was those pigs whose hearts recently broke survival records when transplanted into baboon bellies. Mohiuddin has since become director of xenoheart transplantation at the University of Maryland's new Center for Cardiac Xenotransplantation Research.) And in August 2017, researchers at Harvard Medical School, led by George Church and Luhan Yang, announced that they'd used CRISPR-cas9—an ultra-efficient new gene-editing technique—to disable 62 PERV genes in fetal pig cells, from which they then created cloned embryos. Of the 37 piglets born from this experiment, none showed any trace of the virus.
Still, the riddles surrounding animal-to-human transplants are far from fully solved. One open question is what further genetic manipulations will be necessary to eliminate all rejection. "No one is so naïve as to think, 'Oh, we know all the genes—let's put them in and we are done,'" biologist Sean Stevens, another leading researcher, told the The New York Times. "It's an iterative process, and no one that I know can say whether we will do two, or five, or 100 iterations." Adding traits can be dangerous as well; pigs engineered to express multiple anticoagulation proteins, for example, often die of bleeding disorders. "We're still finding out how many you can do, and what levels are acceptable," says Cooper.
Another question is whether PERV really needs to be disabled. Cooper and some of his colleagues note that pig tissue has long been used for various purposes, such as artificial heart valves and wound-repair products, without incident; requiring the virus to be eliminated, they argue, will unnecessarily slow progress toward creating viable xenotransplant organs and the animals that can provide them. Others disagree. "You cannot do anything with pig organs if you do not remove them," insists bioethicist Jeantine Lunshof, who works with Church and Yang at Harvard. "The risk is simply too big."
"We've removed the cells, so we don't have to worry about latent viruses."
Meanwhile, over the past decade, other approaches to xenotransplantation have emerged. One is interspecies blastocyst complementation, which could produce organs genetically identical to the recipient's tissues. In this method, genes that produce a particular organ are knocked out in the donor animal's embryo. The embryo is then injected with pluripotent stem cells made from the tissue of the intended recipient. The stem cells move in to fill the void, creating a functioning organ. This technique has been used to create mouse pancreases in rats, which were then successfully transplanted into mice. But the human-pig "chimeras" recently created by scientists were destroyed after 28 days, and no one plans to bring such an embryo to term anytime soon. "The problem is that cells don't stay put; they move around," explains Father Kevin FitzGerald, a bioethicist at Georgetown University. "If human cells wind up in a pig's brain, that leads to a really interesting conundrum. What if it's self-aware? Are you going to kill it?"
Much further along, and less ethically fraught, is a technique in which decellularized pig organs act as a scaffold for human cells. A Minnesota-based company called Miromatrix Medical is working with Mayo Clinic researchers to develop this method. First, a mild detergent is pumped through the organ, washing away all cellular material. The remaining structure, composed mainly of collagen, is placed in a bioreactor, where it's seeded with human cells. In theory, each type of cell that normally populates the organ will migrate to its proper place (a process that naturally occurs during fetal development, though it remains poorly understood). One potential advantage of this system is that it doesn't require genetically modified pigs; nor will the animals have to be raised under controlled conditions to avoid exposure to transmissible pathogens. Instead, the organs can be collected from ordinary slaughterhouses.
Recellularized livers in bioreactors
(Courtesy of Miromatrix)
"We've removed the cells, so we don't have to worry about latent viruses," explains CEO Jeff Ross, who describes his future product as a bioengineered human organ rather than a xeno-organ. That makes PERV a nonissue. To shorten the pathway to approval by the Food and Drug Administration, the replacement cells will initially come from human organs not suitable for transplant. But eventually, they'll be taken from the recipient (as in blastocyst complementation), which should eliminate the need for immunosuppression.
Clinical trials in xenotransplantation may begin as early as 2020.
Miromatrix plans to offer livers first, followed by kidneys, hearts, and eventually lungs and pancreases. The company recently succeeded in seeding several decellularized pig livers with human and porcine endothelial cells, which flocked obediently to the blood vessels. Transplanted into young pigs, the organs showed unimpaired circulation, with no sign of clotting. The next step is to feed all four liver cell types back into decellularized livers, and see if the transplanted organs will keep recipient pigs alive.
Ross hopes to launch clinical trials by 2020, and several other groups (including Cooper's, which plans to start with kidneys) envision a similar timeline. Investors seem to share their confidence. The biggest backer of xenotransplantation efforts is United Therapeutics, whose founder and co-CEO, Martine Rothblatt, has a daughter with a lung condition that may someday require a transplant; since 2011, the biotech firm has poured at least $100 million into companies pursuing such technologies, while supporting research by Cooper, Mohiuddin, and other leaders in the field. Church and Yang, at Harvard, have formed their own company, eGenesis, bringing in a reported $40 million in funding; Miromatrix has raised a comparable amount.
It's impossible to predict who will win the xenotransplantation race, or whether some new obstacle will stop the competition in its tracks. But Jennifer Cisneros is rooting for all the contestants. "These technologies could save my life," she says. If she hasn't found another kidney before trials begin, she has just one request: "Sign me up."
Drones are just one of several new technologies that are rising to the challenge of more frequent wildfires.
Robots have been a game-changer. Inspired by Paris, the Los Angeles Fire Department (LAFD) was the first in the U.S. to deploy a firefighting robot in 2021, the Thermite Robotics System 3 – RS3, for short.
RS3 is a 3,500-pound turbine on a crawler—the size of a Smart car—with a 36.8 horsepower engine that can go for 20 hours without refueling. It can plow through hazardous terrain, move cars from its path, and pull an 8,000-pound object from a fire.
All that while spurting 2,500 gallons of water per minute with a rear exhaust fan clearing the smoke. At a recent trade show, RS3 was billed as equivalent to 10 firefighters. The Los Angeles Times referred to it as “a droid on steroids.”
Robots such as the Thermite RS3 can plow through hazardous terrain and pull an 8,000-pound object from a fire.
Los Angeles Fire Department
The advantage of the robot is obvious. Operated remotely from a distance, it greatly reduces an emergency responder’s exposure to danger, says Wade White, assistant chief of the LAFD. The robot can be sent into airplane fires, nuclear reactors, hazardous areas with carcinogens (think East Palestine, Ohio), or buildings where a roof collapse is imminent.
Advances for firefighters are taking many other forms as well. Fibers have been developed that make the firefighter’s coat lighter and more protective from carcinogens. New wearable devices track firefighters’ biometrics in real time so commanders can monitor their heat stress and exertion levels. A sensor patch is in development which takes readings every four seconds to detect dangerous gases such as methane and carbon dioxide. A sonic fire extinguisher is being explored that uses low frequency soundwaves to remove oxygen from air molecules without unhealthy chemical compounds.
The demand for this technology is only increasing, especially with the recent rise in wildfires. In 2021, fires were responsible for 3,800 deaths and 14,700 injuries of civilians in this country. Last year, 68,988 wildfires burned down 7.6 million acres. Whether the next generation of firefighting can address these new challenges could depend on special cameras, robots of the aerial variety, AI and smart systems.
Fighting fire with cameras
Another key innovation for firefighters is a thermal imaging camera (TIC) that improves visibility through smoke. “At a fire, you might not see your hand in front of your face,” says White. “Using the TIC screen, you can find the door to get out safely or see a victim in the corner.” Since these cameras were introduced in the 1990s, the price has come down enough (from $10,000 or more to about $700) that every LAFD firefighter on duty has been carrying one since 2019, says White.
TICs are about the size of a cell phone. The camera can sense movement and body heat so it is ideal as a search tool for people trapped in buildings. If a firefighter has not moved in 30 seconds, the motion detector picks that up, too, and broadcasts a distress signal and directional information to others.
To enable firefighters to operate the camera hands-free, the newest TICs can attach inside a helmet. The firefighter sees the images inside their mask.
TICs also can be mounted on drones to get a bird’s-eye, 360 degree view of a disaster or scout for hot spots through the smoke. In addition, the camera can take photos to aid arson investigations or help determine the cause of a fire.
More help From above
Firefighters prefer the term “unmanned aerial systems” (UAS) to drones to differentiate them from military use.
A UAS carrying a camera can provide aerial scene monitoring and topography maps to help fire captains deploy resources more efficiently. At night, floodlights from the drone can illuminate the landscape for firefighters. They can drop off payloads of blankets, parachutes, life preservers or radio devices for stranded people to communicate, too. And like the robot, the UAS reduces risks for ground crews and helicopter pilots by limiting their contact with toxic fumes, hazardous chemicals, and explosive materials.
“The nice thing about drones is that they perform multiple missions at once,” says Sean Triplett, team lead of fire and aviation management, tools and technology at the Forest Service.
Experts predict we’ll see swarms of drones dropping water and fire retardant on burning buildings and forests in the near future.
The UAS is especially helpful during wildfires because it can track fires, get ahead of wind currents and warn firefighters of wind shifts in real time. The U.S. Forest Service also uses long endurance, solar-powered drones that can fly for up to 30 days at a time to detect early signs of wildfire. Wildfires are no longer seasonal in California – they are a year-long threat, notes Thanh Nguyen, fire captain at the Orange County Fire Authority.
In March, Nguyen’s crew deployed a drone to scope out a huge landslide following torrential rains in San Clemente, CA. Emergency responders used photos and videos from the drone to survey the evacuated area, enabling them to stay clear of ground on the hillside that was still sliding.
Improvements in drone batteries are enabling them to fly for longer with heavier payloads. Experts predict we’ll see swarms of drones dropping water and fire retardant on burning buildings and forests in the near future.
AI to the rescue
The biggest peril for a firefighter is often what they don’t see coming. Flashovers are a leading cause of firefighter deaths, for example. They occur when flammable materials in an enclosed area ignite almost instantaneously. Or dangerous backdrafts can happen when a firefighter opens a window or door; the air rushing in can ignite a fire without warning.
The Fire Fighting Technology Group at the National Institute of Standards and Technology (NIST) is developing tools and systems to predict these potentially lethal events with computer models and artificial intelligence.
Partnering with other institutions, NIST researchers developed the Flashover Prediction Neural Network (FlashNet) after looking at common house layouts and running sets of scenarios through a machine-learning model. In the lab, FlashNet was able to predict a flashover 30 seconds before it happened with 92.1% success. When ready for release, the technology will be bundled with sensors that are already installed in buildings, says Anthony Putorti, leader of the NIST group.
The NIST team also examined data from hundreds of backdrafts as a basis for a machine-learning model to predict them. In testing chambers the model predicted them correctly 70.8% of the time; accuracy increased to 82.4% when measures of backdrafts were taken in more positions at different heights in the chambers. Developers are working on how to integrate the AI into a small handheld device that can probe the air of a room through cracks around a door or through a created opening, Putorti says. This way, the air can be analyzed with the device to alert firefighters of any significant backdraft risk.
Early wildfire detection technologies based on AI are in the works, too. The Forest Service predicts the acreage burned each year during wildfires will more than triple in the next 80 years. By gathering information on historic fires, weather patterns, and topography, says White, AI can help firefighters manage wildfires before they grow out of control and create effective evacuation plans based on population data and fire patterns.
The future is connectivity
We are in our infancy with “smart firefighting,” says Casey Grant, executive director emeritus of the Fire Protection Research Foundation. Grant foresees a new era of cyber-physical systems for firefighters—a massive integration of wireless networks, advanced sensors, 3D simulations, and cloud services. To enhance teamwork, the system will connect all branches of emergency responders—fire, emergency medical services, law enforcement.
FirstNet (First Responder Network Authority) now provides a nationwide high-speed broadband network with 5G capabilities for first responders through a terrestrial cell network. Battling wildfires, however, the Forest Service needed an alternative because they don’t always have access to a power source. In 2022, they contracted with Aerostar for a high altitude balloon (60,000 feet up) that can extend cell phone power and LTE. “It puts a bubble of connectivity over the fire to hook in the internet,” Triplett explains.
A high altitude balloon, 60,000 feet high, can extend cell phone power and LTE, putting a "bubble" of internet connectivity over fires.
Courtesy of USDA Forest Service
Advances in harvesting, processing and delivering data will improve safety and decision-making for firefighters, Grant sums up. Smart systems may eventually calculate fire flow paths and make recommendations about the best ways to navigate specific fire conditions. NIST’s plan to combine FlashNet with sensors is one example.
The biggest challenge is developing firefighting technology that can work across multiple channels—federal, state, local and tribal systems as well as for fire, police and other emergency services— in any location, says Triplett. “When there’s a wildfire, there are no political boundaries,” he says. “All hands are on deck.”
A new test called the EyeBox could provide a more objective - and portable - tool to measure whether people have concussions in stadiums and hospitals.
Concussion affects around 42 million people worldwide. While it’s increasingly common in the news because of sports injuries, anything that causes damage to the head, from a fall to a car accident, can result in a concussion. The sudden blow or jolt can disrupt the normal way the brain works. In the immediate aftermath, people may suffer from headaches, lose consciousness and experience dizziness, confusion and vomiting. Some recover but others have side effects that can last for years, particularly affecting memory and concentration.
There is no simple standard-of-care test to confirm a concussion or rule it out. Neither do they appear on MRI and CT scans. Instead, medical professionals use more indirect approaches that test symptoms of concussions, such as assessments of patients’ learning and memory skills, ability to concentrate and problem solving. They also look at balance and coordination. Most tests are in the form of questionnaires or symptom checklists. Consequently, they have limitations, can be biased and may miss a concussion or produce a false positive. Some people suspected of having a concussion may ordinarily have difficulties with literary and problem-solving tests because of language challenges or education levels.
Another problem with current tests is that patients, particularly soldiers who want to return to combat and athletes who would like to keep competing, could try and hide their symptoms to avoid being diagnosed with a brain injury. Trauma physicians who work with concussion patients have the need for a tool that is more objective and consistent.
“This type of assessment doesn’t rely on the patient's education level, willingness to follow instructions or cooperation. You can’t game this.” -- Uzma Samadani, founder of Oculogica
“The importance of having an objective measurement tool for the diagnosis of concussion is of great importance,” says Douglas Powell, associate professor of biomechanics at the University of Memphis, with research interests in sports injury and concussion. “While there are a number of promising systems or metrics, we have yet to develop a system that is portable, accessible and objective for use on the sideline and in the clinic. The EyeBOX may be able to address these issues, though time will be the ultimate test of performance.”
The EyeBOX as a window inside the brain
Using eye movements to diagnose a concussion has emerged as a promising technique since around 2010. Oculogica combined eye movements with AI to develop the EyeBOX to develop an unbiased objective diagnostic tool.
“What’s so great about this type of assessment is it doesn’t rely on the patient's education level, willingness to follow instructions or cooperation,” says Uzma Samadani, a neurosurgeon and brain injury researcher at the University of Minnesota, who founded Oculogica. “You can’t game this. It assesses functions that are prompted by your brain.”
In 2010, Samadani was working on a clinical trial to improve the outcome of brain injuries. The team needed some way to measure if seriously brain injured patients were improving. One thing patients could do was watch TV. So Samadani designed and patented an AI-based algorithm that tracks the relationship between eye movement and concussion.
The EyeBOX test requires patients to watch movie or music clips for 220 seconds. An eye tracking camera records subconscious eye movements, tracking eye positions 500 times per seconds as patients watch the video. It collects over 100,000 data points. The device then uses AI to assess whether there’s any disruptions from the normal way the eyes move.
Cranial nerves are responsible for transmitting information between the brain and the body. Many are involved in eye movement. Pressure caused by a concussion can affect how these nerves work. So tracking how the eyes move can indicate if there’s anything wrong with the cranial nerves and where the problem lies.
If someone is healthy, their eyes should be able to focus on an object, follow movement and both eyes should be coordinated with each other. The EyeBox can detect abnormalities. For example, if a patient’s eyes are coordinated but they are not moving as they should, that indicates issues in the central brain stem, whilst only one eye moving abnormally suggests that a particular nerve section is affected.
Uzma Samadani with the EyeBOX device
Courtesy Oculogica
“The EyeBOX is a monitor for cranial nerves,” says Samadani. “Essentially it’s a form of digital neurological exam. “Several other eye-tracking techniques already exist, but they rely on subjective self-reported symptoms. Many also require a baseline, a measure of how patients reacted when they were healthy, which often isn’t available.
VOMS (Vestibular Ocular Motor Screen) is one of the most accurate diagnostic tests used in clinics in combination with other tests, but it is subjective. It involves a therapist getting patients to move their head or eyes as they focus or follow a particular object. Patients then report their symptoms.
The King-Devick test measures how fast patients can read numbers and compares it to a baseline. Since it is mainly used for athletes, the initial test is completed before the season starts. But participants can manipulate it. It also cannot be used in emergency rooms because the majority of patients wouldn’t have prior baseline tests.
Unlike these tests, EyeBOX doesn’t use a baseline and is objective because it doesn’t rely on patients’ answers. “It shows great promise,” says Thomas Wilcockson, a senior lecturer of psychology in Loughborough University, who is an expert in using eye tracking techniques in neurological disorders. “Baseline testing of eye movements is not always possible. Alternative measures of concussion currently in development, including work with VR headsets, seem to currently require it. Therefore the EyeBOX may have an advantage.”
A technology that’s still evolving
In their last clinical trial, Oculogica used the EyeBOX to test 46 patients who had concussion and 236 patients who did not. The sensitivity of the EyeBOX, or the probability of it correctly identifying the patient’s concussion, was 80.4 percent. Meanwhile, the test accurately ruled out a concussion in 66.1 percent of cases. This is known as its specificity score.
While the team is working on improving the numbers, experts who treat concussion patients find the device promising. “I strongly support their use of eye tracking for diagnostic decision making,” says Douglas Powell. “But for diagnostic tests, we would prefer at least one of the sensitivity or specificity values to be greater than 90 percent. Powell compares EyeBOX with the Buffalo Concussion Treadmill Test, which has sensitivity and specificity values of 73 and 78 percent, respectively. The VOMS also has shown greater accuracy than the EyeBOX, at least for now. Still, EyeBOX is competitive with the best diagnostic testing available for concussion and Powell hopes that its detection prowess will improve. “I anticipate that the algorithms being used by Oculogica will be under continuous revision and expect the results will improve within the next several years.”
“The color of your skin can have a huge impact in how quickly you are triaged and managed for brain injury. People of color have significantly worse outcomes after traumatic brain injury than people who are white.” -- Uzma Samadani, founder of Oculogica
Powell thinks the EyeBOX could be an important complement to other concussion assessments.
“The Oculogica product is a viable diagnostic tool that supports clinical decision making. However, concussion is an injury that can present with a wide array of symptoms, and the use of technology such as the Oculogica should always be a supplement to patient interaction.”
Ioannis Mavroudis, a consultant neurologist at Leeds Teaching Hospital, agrees that the EyeBOX has promise, but cautions that concussions are too complex to rely on the device alone. For example, not all concussions affect how eyes move. “I believe that it can definitely help, however not all concussions show changes in eye movements. I believe that if this could be combined with a cognitive assessment the results would be impressive.”
The Oculogica team submitted their clinical data for FDA approval and received it in 2018. Now, they’re working to bring the test to the commercial market and using the device clinically to help diagnose concussions for clients. They also want to look at other areas of brain health in the next few years. Samadani believes that the EyeBOX could possibly be used to detect diseases like multiple sclerosis or other neurological conditions. “It’s a completely new way of figuring out what someone’s neurological exam is and we’re only beginning to realize the potential,” says Samadani.
One of Samadani’s biggest aspirations is to help reduce inequalities in healthcare because of skin color and other factors like money or language barriers. From that perspective, the EyeBOX’s greatest potential could be in emergency rooms. It can help diagnose concussions in addition to the questionnaires, assessments and symptom checklists, currently used in the emergency departments. Unlike these more subjective tests, EyeBOX can produce an objective analysis of brain injury through AI when patients are admitted and assessed, unrelated to their socioeconomic status, education, or language abilities. Studies suggest that there are racial disparities in how patients with brain injuries are treated, such as how quickly they're assessed and get a treatment plan.
“The color of your skin can have a huge impact in how quickly you are triaged and managed for brain injury,” says Samadani. “As a result of that, people of color have significantly worse outcomes after traumatic brain injury than people who are white. The EyeBOX has the potential to reduce inequalities,” she explains.
“If you had a digital neurological tool that you could screen and triage patients on admission to the emergency department you would potentially be able to make sure that everybody got the same standard of care,” says Samadani. “My goal is to change the way brain injury is diagnosed and defined.”