The Sickest Babies Are Covered in Wires. New Tech Is Changing That.
I'll never forget the experience of having a child in the neonatal intensive care unit (NICU).
Now more than ever, we're working to remove the barriers between new parents and their infants.
It was another layer of uncertainty that filtered into my experience of being a first-time parent. There was so much I didn't know, and the wires attached to my son's small body for the first week of his life were a reminder of that.
I wanted to be the best mother possible. I deeply desired to bring my son home to start our lives. More than anything, I longed for a wireless baby whom I could hold and love freely without limitations.
The wires suggested my baby was fragile and it left me feeling severely unprepared, anxious, and depressed.
In recent years, research has documented the ways that NICU experiences take a toll on parents' mental health. But thankfully, medical technology is rapidly being developed to help reduce the emotional fallout of the NICU. Now more than ever, we're working to remove the barriers between new parents and their infants. The latest example is the first ever wireless monitoring system that was recently developed by a team at Northwestern University.
After listening to the needs of parents and medical staff, Debra Weese-Mayer, M.D., a professor of pediatric autonomic medicine at Feinberg School of Medicine, along with a team of materials scientists, engineers, dermatologists and pediatricians, set out to develop this potentially life-changing technology. Weese-Mayer believes wireless monitoring will have a significant impact for people on all sides of the NICU experience.
"With elimination of the cumbersome wires," she says, "the parents will find their infant more approachable/less intimidating and have improved access to their long-awaited but delivered-too-early infant, allowing them to begin skin-to-skin contact and holding with reduced concern for dislodging wires."
So how does the new system work?
Very thin "skin like" patches made of silicon rubber are placed on the surface of the skin to monitor vitals like heart rate, respiration rate, and body temperature. One patch is placed on the chest or back and the other is placed on the foot.
These patches are safer on the skin than previously used adhesives, reducing the cuts and infections associated with past methods. Finally, an antenna continuously delivers power, often from under the mattress.
The data collected from the patches stream from the body to a tablet or computer.
New wireless sensor technology is being studied to replace wired monitoring in NICUs in the coming years.
(Northwestern University)
Weese-Mayer hopes that wireless systems will be standard soon, but first they must undergo more thorough testing. "I would hope that in the next five years, wireless monitoring will be the standard in NICUs, but there are many essential validation steps before this technology will be embraced nationally," she says.
Until the new systems are ready, parents will be left struggling with the obstacles that wired monitoring presents.
Physical intimacy, for example, appears to have pain-reducing qualities -- something that is particularly important for babies who are battling serious illness. But wires make those cuddles more challenging.
There's also been minimal discussion about how wired monitoring can be particularly limiting for parents with disabilities and mobility aids, or even C-sections.
"When he was first born and I was recovering from my c-section, I couldn't deal with keeping the wires untangled while trying to sit down without hurting myself," says Rhiannon Giles, a writer from North Carolina, who delivered her son at just over 31 weeks after suffering from severe preeclampsia.
"The wires were awful," she remembers. "They fell off constantly when I shifted positions or he kicked a leg, which meant the monitors would alarm. It felt like an intrusion into the quiet little world I was trying to mentally create for us."
Over the last few years, researchers have begun to dive deeper into the literal and metaphorical challenges of wired monitoring.
For many parents, the wires prompt anxiety that worsens an already tense and vulnerable time.
I'll never forget the first time I got to hold my son without wires. It was the first time that motherhood felt manageable.
"Seeing my five-pound-babies covered in wires from head to toe rendered me completely overwhelmed," recalls Caila Smith, a mom of five from Indiana, whose NICU experience began when her twins were born pre-term. "The nurses seemed to handle them perfectly, but I was scared to touch them while they appeared so medically frail."
During the nine days it took for both twins to come home, the limited access she had to her babies started to impact her mental health. "If we would've had wireless sensors and monitors, it would've given us a much greater sense of freedom and confidence when snuggling our newborns," Smith says.
Besides enabling more natural interactions, wireless monitoring would make basic caregiving tasks much easier, like putting on a onesie.
"One thing I noticed is that many preemie outfits are made with zippers," points out Giles, "which just don't work well when your baby has wires coming off of them, head to toe."
Wired systems can pose issues for medical staff as well as parents.
"The main concern regarding wired systems is that they restrict access to the baby and often get tangled with other equipment, like IV lines," says Lamia Soghier, Medical Director of the Neonatal Intensive Care Unit at Children's National in Washington, D.C , who was also a NICU parent herself. "The nurses have to untangle the wires, which takes time, before handing the baby to the family."
I'll never forget the first time I got to hold my son without wires. It was the first time that motherhood felt manageable, and I couldn't stop myself from crying. Suddenly, anything felt possible and all the limitations from that first week of life seemed to fade away. The rise of wired-free monitoring will make some of the stressors that accompany NICU stays a thing of the past.
Small changes in how a person talks could reveal Alzheimer’s earlier
Dave Arnold retired in his 60s and began spending time volunteering in local schools. But then he started misplacing items, forgetting appointments and losing his sense of direction. Eventually he was diagnosed with early stage Alzheimer’s.
“Hearing the diagnosis made me very emotional and tearful,” he said. “I immediately thought of all my mom had experienced.” His mother suffered with the condition for years before passing away. Over the last year, Arnold has worked for the Alzheimer’s Association as one of its early stage advisors, sharing his insights to help others in the initial stages of the disease.
Arnold was diagnosed sooner than many others. It's important to find out early, when interventions can make the most difference. One promising avenue is looking at how people talk. Research has shown that Alzheimer’s affects a part of the brain that controls speech, resulting in small changes before people show other signs of the disease.
Now, Canary Speech, a company based in Utah, is using AI to examine elements like the pitch of a person’s voice and their pauses. In an initial study, Canary analyzed speech recordings with AI and identified early stage Alzheimer’s with 96 percent accuracy.
Developing the AI model
Canary Speech’s CEO, Henry O’Connell, met cofounder Jeff Adams about 40 years before they started the company. Back when they first crossed paths, they were both living in Bethesda, Maryland; O’Connell was a research fellow at the National Institutes of Health studying rare neurological diseases, while Adams was working to decode spy messages. Later on, Adams would specialize in building mathematical models to analyze speech and sound as a team leader in developing Amazon's Alexa.
It wasn't until 2015 that they decided to make use of the fit between their backgrounds. ““We established Canary Speech in 2017 to build a product that could be used in multiple languages in clinical environments,” O'Connell says.
The need is growing. About 55 million people worldwide currently live with Alzheimer’s, a number that is expected to double by 2050. Some scientists think the disease results from a buildup of plaque in the brain. It causes mild memory loss at first and, over time, this issue get worse while other symptoms, such as disorientation and hallucinations, can develop. Treatment to manage the disease is more effective in the earlier stages, but detection is difficult since mild symptoms are often attributed to the normal aging process.
O’Connell and Adams specialize in the complex ways that Alzheimer’s effects how people speak. Using AI, their mathematical model analyzes 15 million data points every minute, focusing on certain features of speech such as pitch, pauses and elongation of words. It also pays attention to how the vibrations of vocal cords change in different stages of the disease.
To create their model, the team used a type of machine learning called deep neural nets, which looks at multiple layers of data - in this case, the multiple features of a person’s speech patterns.
“Deep neural nets allow us to look at much, much larger data sets built out of millions of elements,” O’Connell explained. “Through machine learning and AI, we’ve identified features that are very sensitive to an Alzheimer’s patient versus [people without the disease] and also very sensitive to mild cognitive impairment, early stage and moderate Alzheimer's.” Based on their learnings, Canary is able to classify the disease stage very quickly, O’Connell said.
“When we’re listening to sublanguage elements, we’re really analyzing the direct result of changes in the brain in the physical body,” O’Connell said. “The brain controls your vocal cords: how fast they vibrate, the expansion of them, the contraction.” These factors, along with where people put their tongues when talking, function subconsciously and result in subtle changes in the sounds of speech.
Further testing is needed
In an initial trial, Canary analyzed speech recordings from phone calls to a large U.S. health insurer. They looked at the audio recordings of 651 policyholders who had early stage Alzheimer’s and 1018 who did not have the condition, aiming for a representative sample of age, gender and race. They used this data to create their first diagnostic model and found that it was 96 percent accurate in identifying Alzheimer’s.
Christian Herff, an assistant professor of neuroscience at Maastricht University in the Netherlands, praised this approach while adding that further testing is needed to assess its effectiveness.
“I think the general idea of identifying increased risk for cognitive impairment based on speech characteristics is very feasible, particularly when change in a user’s voice is monitored, for example, by recording speech every year,” Herff said. He noted that this can only be a first indication, not a full diagnosis. The accuracy still needs to be validated in studies that follows individuals over a period of time, he said.
Toby Walsh, a professor of artificial intelligence at the University of New South Wales, also thinks Canary’s tool has potential but highlights that Canary could diagnose some people who don’t really have the disease. “This is an interesting and promising application of AI,” he said, “but these tools need to be used carefully. Imagine the anxiety of being misdiagnosed with Alzheimer’s.”
As with many other AI tools, privacy and bias are additional issues to monitor closely, Walsh said.
Other languages
A related issue is that not everyone is fluent in English. Mahnaz Arvaneh, a senior lecturer in automatic control and systems engineering at the University of Sheffield, said this could be a blind spot.
“The system may not be very accurate for those who have English as their second language as their speaking patterns would be different, and any issue might be because of language deficiency rather than cognitive issues,” Arvaneh said.
The team is expanding to multiple languages starting with Japanese and Spanish. The elements of the model that make up the algorithm are very similar, but they need to be validated and retrained in a different language, which will require access to more data.
Recently, Canary analyzed the phone calls of 233 Japanese patients who had mild cognitive impairment and 704 healthy people. Using an English model they were able to identify the Japanese patients who had mild cognitive impairment with 78 percent accuracy. They also developed a model in Japanese that was 45 percent accurate, and they’re continuing to train it with more data.
The future
Canary is using their model to look at other diseases like Huntington’s and Parkinson’s. They’re also collaborating with pharmaceuticals to validate potential therapies for Alzheimer’s. By looking at speech patterns over time, Canary can get an indication of how well these drugs are working.
Dave Arnold and his wife dance at his nephew’s wedding in Rochester, New York, ten years ago, before his Alzheimer's diagnosis.
Dave Arnold
Ultimately, they want to integrate their tool into everyday life. “We want it to be used in a smartphone, or a teleconference call so that individuals could be examined in their home,” O’Connell said. “We could follow them over time and work with clinical teams and hospitals to improve the evaluation of patients and contribute towards an accurate diagnosis.”
Arnold, the patient with early stage Alzheimer’s, sees great promise. “The process of getting a diagnosis is already filled with so much anxiety,” he said. “Anything that can be done to make it easier and less stressful would be a good thing, as long as it’s proven accurate.”
Gene therapy helps restore teen’s vision for first time
Story by Freethink
For the first time, a topical gene therapy — designed to heal the wounds of people with “butterfly skin disease” — has been used to restore a person’s vision, suggesting a new way to treat genetic disorders of the eye.
The challenge: Up to 125,000 people worldwide are living with dystrophic epidermolysis bullosa (DEB), an incurable genetic disorder that prevents the body from making collagen 7, a protein that helps strengthen the skin and other connective tissues.Without collagen 7, the skin is incredibly fragile — the slightest friction can lead to the formation of blisters and scarring, most often in the hands and feet, but in severe cases, also the eyes, mouth, and throat.
This has earned DEB the nickname of “butterfly skin disease,” as people with it are said to have skin as delicate as a butterfly’s wings.
The gene therapy: In May 2023, the FDA approved Vyjuvek, the first gene therapy to treat DEB.
Vyjuvek uses an inactivated herpes simplex virus to deliver working copies of the gene for collagen 7 to the body’s cells. In small trials, 65 percent of DEB-caused wounds sprinkled with it healed completely, compared to just 26 percent of wounds treated with a placebo.
“It was like looking through thick fog.” -- Antonio Vento Carvajal.
The patient: Antonio Vento Carvajal, a 14 year old living in Florida, was one of the trial participants to benefit from Vyjuvek, which was developed by Pittsburgh-based pharmaceutical company Krystal Biotech.
While the topical gene therapy could help his skin, though, it couldn’t do anything to address the severe vision loss Antonio experienced due to his DEB. He’d undergone multiple surgeries to have scar tissue removed from his eyes, but due to his condition, the blisters keep coming back.
“It was like looking through thick fog,” said Antonio, noting how his impaired vision made it hard for him to play his favorite video games. “I had to stand up from my chair, walk over, and get closer to the screen to be able to see.”
The idea: Encouraged by how Antonio’s skin wounds were responding to the gene therapy, Alfonso Sabater, his doctor at the Bascom Palmer Eye Institute, reached out to Krystal Biotech to see if they thought an alternative formula could potentially help treat his patient’s eyes.
The company was eager to help, according to Sabater, and after about two years of safety and efficacy testing, he had permission, under the FDA’s compassionate use protocol, to treat Antonio’s eyes with a version of the topical gene therapy delivered as eye drops.
The results: In August 2022, Sabater once again removed scar tissue from Antonio’s right eye, but this time, he followed up the surgery by immediately applying eye drops containing the gene therapy.
“I would send this message to other families in similar situations, whether it’s DEB or another condition that can benefit from genetic therapy. Don’t be afraid.” -- Yunielkys “Yuni” Carvajal.
The vision in Antonio’s eye steadily improved. By about eight months after the treatment, it was just slightly below average (20/25) and stayed that way. In March 2023, Sabater performed the same procedure on his young patient’s other eye, and the vision in it has also steadily improved.
“I’ve seen the transformation in Antonio’s life,” said Sabater. “He’s always been a happy kid. Now he’s very happy. He can function pretty much normally. He can read, he can study, he can play video games.”
Looking ahead: The topical gene therapy isn’t a permanent fix — it doesn’t alter Antonio’s own genes, so he has to have the eye drops reapplied every month. Still, that’s far less invasive than having to undergo repeated surgeries.
Sabater is now working with Krystal Biotech to launch trials of the eye drops in other patients, and not just those with DEB. By changing the gene delivered by the therapy, he believes it could be used to treat other eye disorders that are far more common — Fuchs’ dystrophy, for example, affects the vision of an estimated 300 million people over the age of 30.
Antonio’s mother, Yunielkys “Yuni” Carvajal, meanwhile, has said that having her son be the first to receive the eye drops was “very scary,” but she’s hopeful others will take a chance on new gene therapies if given the opportunity.
“I would send this message to other families in similar situations, whether it’s DEB or another condition that can benefit from genetic therapy,” she said. “Don’t be afraid.”