A rendering of in vitro fertilization.
Imagine two men making a baby. Or two women. Or an infertile couple. Or an older woman whose eggs are no longer viable. None of these people could have a baby today without the help of an egg or sperm donor.
Cells scraped from the inside of your cheek could one day be manipulated to become either eggs or sperm.
But in the future, it may be possible for them to reproduce using only their own genetic material, thanks to an emerging technology called IVG, or in vitro gametogenesis.
Researchers are learning how to reprogram adult human cells like skin cells to become lab-created egg and sperm cells, which could then be joined to form an embryo. In other words, cells scraped from the inside of your cheek could one day be manipulated to become either eggs or sperm, no matter your gender or your reproductive fitness.
In 2016, Japanese scientists proved that the concept could be successfully carried out in mice. Now some experts, like Dr. John Zhang, the founder and CEO of New Hope Fertility Center in Manhattan, say it's just "a matter of time" before the method is also made to work in humans.
Such a technological tour de force would upend our most basic assumptions about human reproduction and biology. Combined with techniques like gene editing, these tools could eventually enable prospective parents to have an unprecedented level of choice and control over their children's origins. It's a wildly controversial notion, and an especially timely one now that a Chinese scientist has announced the birth of the first allegedly CRISPR-edited babies. (The claims remain unverified.)
Zhang himself is no stranger to controversy. In 2016, he stunned the world when he announced the birth of a baby conceived using the DNA of three people, a landmark procedure intended to prevent the baby from inheriting a devastating neurological disease. (Zhang went to a clinic in Mexico to carry out the procedure because it is prohibited in the U.S.) Zhang's other achievements to date include helping a 49-year-old woman have a baby using her own eggs and restoring a young woman's fertility through an ovarian tissue transplant surgery.
Zhang recently sat down with our Editor-in-Chief in his New York office overlooking Columbus Circle to discuss the fertility world's latest provocative developments. Here are his top ten insights:
Clearly [gene-editing embryos] will be beneficial to mankind, but it's a matter of how and when the work is done.
1) On a Chinese scientist's claim of creating the first CRISPR-edited babies:
I'm glad that we made a first move toward a clinical application of this technology for mankind. Somebody has to do this. Whether this was a good case or not, there is still time to find out.
Clearly it will be beneficial to mankind, but it's a matter of how and when the work is done. Like any scientific advance, it has to be done in a very responsible way.
Today's response is identical to when the world's first IVF baby was announced in 1978. The major news media didn't take it seriously and thought it was evil, wanted to keep a distance from IVF. Many countries even abandoned IVF, but today you see it is a normal practice. And it took almost 40 years [for the researchers] to win a Nobel Prize.
I think we need more time to understand how this work was done medically, ethically, and let the scientist have the opportunity to present how it was done and let a scientific journal publish the paper. Before these become available, I don't think we should start being upset, scared, or giving harsh criticism.
2) On the international outcry in response to the news:
I feel we are in scientific shock, with many thinking it came too fast, too soon. We all embrace modern technology, but when something really comes along, we fear it. In an old Chinese saying, one of the masters always dreamed of seeing the dragon, and when the dragon really came, he got scared.
Dr. John Zhang, the founder and CEO of New Hope Fertility Center in Manhattan, pictured in his office.
3) On the Western world's perception that Chinese scientists sometimes appear to discount ethics in favor of speedy breakthroughs:
I think this perception is not fair. I don't think China is very casual. It's absolutely not what people think. I don't want people to feel that this case [of CRISPR-edited babies] will mean China has less standards over how human reproduction should be performed. Just because this happened, it doesn't mean in China you can do anything you want.
As far as the regulation of IVF clinics, China is probably the most strictly regulated of any country I know in this world.
4) On China's first public opinion poll gauging attitudes toward gene-edited babies, indicating that more than 60 percent of survey respondents supported using the technology to prevent inherited diseases, but not to enhance traits:
There is a sharp contrast between the general public and the professional world. Being a working health professional and an advocate of scientists working in this field, it is very important to be ethically responsible for what we are doing, but my own feeling is that from time to time we may not take into consideration what the patient needs.
5) On how the three-parent baby is doing today, several years after his birth:
No news is good news.
6) On the potentially game-changing research to develop artificial sperm and eggs:
First of all I think that anything that's technically possible, as long as you are not harmful to other people, to other societies, as long as you do it responsibly, and this is a legitimate desire, I think eventually it will become reality.
My research for now is really to try to overcome the very next obstacle in our field, which is how to let a lady age 44 or older have a baby with her own genetic material.
Practically 99 percent of women over age 43 will never make a baby on their own. And after age 47, we usually don't offer donor egg IVF anymore.
But with improved longevity, and quality of life, the lifespan of females continues to increase. In Japan, the average for females is about 89 years old. So for more than half of your life, you will not be able to produce a baby, which is quite significant in the animal kingdom. In most of the animal kingdom, their reproductive life is very much the same as their life, but then you can argue in the animal kingdom unlike a human being, it doesn't take such a long time for them to contribute to the society because once you know how to hunt and look for food, you're done.
"I think this will become a major ethical debate: whether we should let an older lady have a baby at a very late state of her life."
But humans are different. You need to go to college, get certain skills. It takes 20 years to really bring a human being up to become useful to society. That's why the mom and dad are not supposed to have the same reproductive life equal to their real life.
I think this will become a major ethical debate: whether we should let an older lady have a baby at a very late state of her life and leave the future generation in a very vulnerable situation in which they may lack warm caring, proper guidance, and proper education.
7) On using artificial gametes to grant more reproductive choices to gays and lesbians:
I think it is totally possible to have two sperm make a baby, and two eggs make babies.
If we have two guys, one guy to produce eggs, or two girls, one would have to become sperm. Basically you are creating artificial gametes or converting with gametes from sperm to become egg or egg to become a sperm. Which may not necessarily be very difficult. The key is to be able to do nuclear reprogramming.
So why can two sperm not make offspring now? You get exactly half of your genes from each parent. The genes have their own imprinting that say "made in mom," "made in dad." The two sperm would say "made in dad," "made in dad." If I can erase the "made in dad," and say "made in mom," then these sperm can make offspring.
8) On how close science is to creating artificial gametes for clinical use in pregnancies:
It's very hard to say until we accomplish it. It could be very quick. It could be it takes a long time. I don't want to speculate.
"I think these technologies are the solid foundation just like when we designed the computer -- we never thought a computer would become the iPhone."
9) On whether there should be ethical red lines drawn by authorities or whether the decisions should be left to patients and scientists:
I think we cannot believe a hundred percent in the scientist and the patient but it should not be 100 percent authority. It should be coming from the whole of society.
10) On his expectations for the future:
We are living in a very exciting world. I think that all these technologies can really change the way of mankind and also are not just for baby-making. The research, the experience, the mechanism we learn from these technologies, they will shine some great lights into our long-held dream of being a healthy population that is cancer-free and lives a long life, let's say 120 years.
I think these technologies are the solid foundation just like when we designed the computer -- we never thought a computer would become the iPhone. Imagine making a computer 30 years ago, that this little chip will change your life.
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.”