Health
Eleanor Maguire, Memory Expert Who Studied London Cabbies, Dies at 54
Eleanor Maguire, a cognitive neuroscientist whose research on the human hippocampus — especially those belonging to London taxi drivers — transformed the understanding of memory, revealing that a key structure in the brain can be strengthened like a muscle, died on Jan. 4 in London. She was 54.
Her death, at a hospice facility, was confirmed by Cathy Price, her colleague at the U.C.L. Queen Square Institute of Neurology. Dr. Maguire was diagnosed with spinal cancer in 2022 and had recently developed pneumonia.
Working for 30 years in a small, tight-knit lab, Dr. Maguire obsessed over the hippocampus — a seahorse-shaped engine of memory deep in the brain — like a meticulous, relentless detective trying to solve a cold case.
An early pioneer of using functional magnetic resonance imaging (f.M.R.I.) on living subjects, Dr. Maguire was able to look inside human brains as they processed information. Her studies revealed that the hippocampus can grow, and that memory is not a replay of the past but rather an active reconstructive process that shapes how people imagine the future.
“She was absolutely one of the leading researchers of her generation in the world on memory,” Chris Frith, an emeritus professor of neuropsychology at University College London, said in an interview. “She changed our understanding of memory, and I think she also gave us important new ways of studying it.”
In 1995, while she was a postdoctoral fellow in Dr. Frith’s lab, she was watching television one evening when she stumbled on “The Knowledge,” a quirky film about prospective London taxi drivers memorizing the city’s 25,000 streets to prepare for a three-year-long series of licensing tests.
Dr. Maguire, who said she rarely drove because she feared never arriving at her destination, was mesmerized. “I am absolutely appalling at finding my way around,” she once told The Daily Telegraph. “I wondered, ‘How are some people so bloody good and I am so terrible?’”
In the first of a series of studies, Dr. Maguire and her colleagues scanned the brains of taxi drivers while quizzing them about the shortest routes between various destinations in London.
The results, published in 1997, showed that blood flow in the right hippocampus increased sharply as the drivers described their routes — meaning that specific area of the brain played a key role in spatial navigation.
But that didn’t solve the mystery of why the taxi drivers were so good at their jobs.
Dr. Maguire kept digging. Using M.R.I. machines, she measured different regions in the brains of 16 drivers, comparing their dimensions with those in the brains of people who weren’t taxi drivers.
“The posterior hippocampi of taxi drivers were significantly larger relative to those of control subjects,” she wrote in Proceedings of the National Academy of Sciences. And the size, she found, correlated with the length of a cabby’s career: The longer the cabby had driven, the bigger the hippocampus.
Dr. Maguire’s study, published in March 2000, generated headlines around the world and turned London taxi drivers into unlikely scientific stars.
“I never noticed part of my brain growing,” David Cohen, a member of the London Cab Drivers Club, told the BBC. “It makes you wonder what happened to the rest of it.”
Dr. Maguire wondered, too: Why (and how) did their hippocampi grow?
She followed up with other studies. One showed that the hippocampi of bus drivers — whose routes were set rather than navigated from memory — didn’t grow. Another showed that prospective taxi drivers who failed their tests did not gain any hippocampus volume in the process.
The implications were striking: The key structure in the brain governing memory and spatial navigation was malleable.
In a roundabout way, Dr. Maguire’s findings revealed the scientific underpinnings of the ancient Roman “method of loci,” a memorization trick also known as the “memory palace.”
This technique involves visualizing a large house and assigning an individual memory to a particular room. Mentally walking through the house fires up the hippocampus, eliciting the memorized information. Dr. Maguire studied memory athletes — people who train their brains to memorize vast amounts of information quickly — who used this method, and observed that its effectiveness was “reflected in its continued use over two and a half millennia in virtually unchanged form.”
But recalling information was only half the story.
In studying patients with damage to the hippocampus, including those with amnesia, Dr. Maguire found that they couldn’t visualize or navigate future scenarios. One taxi driver, for instance, struggled to make his way through busy London streets in a virtual-reality simulation. Other amnesiacs couldn’t imagine an upcoming Christmas party or a trip to the beach.
“Instead of visualizing a single scene in their mind, such as a crowded beach filled with sunbathers, the patients reported seeing just a collection of disjointed images, such as sand, water, people and beach towels,” the journal Science News reported in 2009.
The hippocampus, it turns out, binds snippets of information to construct scenes from the past — and the future.
“The whole point of the brain is future planning,” Dr. Maguire was quoted as saying in Margaret Heffernan’s book “Uncharted: How to Navigate the Future” (2020). “You need to survive and think about what happened when I was last here, is there a scary monster that will come out and eat me? We create models of the future by recruiting our memories of the past.”
Eleanor Anne Maguire was born on March 27, 1970, in Dublin. Her father, Paddy Maguire, was a factory worker. Her mother, Anne Maguire, was a receptionist.
Growing up, Eleanor was obsessed with “Star Trek.”
“My first scientific hero was fictional — Spock, science officer on the Starship Enterprise,” she told the journal Current Biology in 2012. “He embodied so much of what attracted me to science. He was inquisitive, logical, honest, meticulous, calm, fearless in facing the unknown, innovative and unafraid of taking risks.”
She graduated from University College Dublin in 1990 with a degree in psychology, and returned to earn her doctorate there after receiving a master’s degree from the University College of Swansea (now Swansea University).
Dr. Maguire joined the faculty at University College London in 1995 and never left.
She is survived by her parents. Her brother, Declan, died in 2019, also of cancer.
At Dr. Maguire’s memorial service, Dr. Price spoke about the energy and excitement her friend and longtime colleague generated at the lab, recalling that Dr. Maguire’s mother had called nightly to remind her daughter to go home.
“It wasn’t just a job,” Dr. Price said. “It consumed us, day and night.”
There was a sense that they were onto something big.
“We were among the first to use cutting-edge technology to peer inside the healthy, living human brain and witness its functions in action,” Dr. Price said. “It was an exhilarating and transformative time in neuroscience, and Eleanor’s curiosity and creativity were instrumental to numerous discoveries.”
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In a dramatic turn of events that’s captured the attention of animal lovers worldwide, Punch — the young macaque at a zoo in Japan famous for his inseparable bond with a stuffed orangutan toy — has reached a major milestone in his journey toward social integration.
On Thursday, visitors and staff at the Ichikawa Zoological and Botanical Garden witnessed a breakthrough: Punch was seen cuddling with and hitching a ride on the back of a fellow macaque.
Punch’s story began with hardship. He was abandoned by his mother shortly after his birth in July 2025 — and to ensure his survival, zookeepers stepped in to hand-rear the primate.
On Jan. 19, 2026, the zoo officially began the process of reintegrating Punch into the “monkey mountain” enclosure.
The transition was initially fraught with tension.
Punch’s story began with hardship when he was abandoned by his mother shortly after he was born. To help him, zookeepers gave him a stuffed toy that he began dragging around everywhere he went. (David Mareuil/Anadolu via Getty Images)
As a hand-reared infant, Punch was bullied and ignored by the established group of monkeys.
He was often seen huddled alone with his orange plush companion while the rest of the troop interacted.
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In an official statement released Feb. 27, the Ichikawa Zoological and Botanical Garden detailed the meticulous care behind this process.
Previous viral videos showed Punch bullied by the rest of the troop, running to his plushy toy for comfort. (David Mareuil/Anadolu via Getty Images)
“From an animal welfare perspective, our primary goal is to reintegrate Punch with the troop,” the zoo said.
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The strategy involved nursing Punch within the enclosure, so the troop could recognize him as one of their own, and pairing him with a gentle young female macaque prior to his full release to build his confidence.
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The latest footage, captured by X user @tate_gf, suggested the zoo’s patience is paying off.
The video shows Punch seeking physical contact not from his toy, but from another monkey — eventually climbing onto its back for a vital social behavior for young macaques: the “piggyback ride.”
The zoo’s strategy appears to be paying off: Punch, shown at far left, was recently seen riding on the back of a fellow macaque. (David Mareuil/Anadolu via Getty Images)
While Punch still carries his stuffed toy for comfort during moments of perceived danger, the zoo remains optimistic about his progress.
The organization cited the successful 2009 case of Otome, another hand-reared macaque who eventually outgrew her stuffed toy, successfully integrated — and went on to raise four offspring of her own.
The zoo has had crowds coming to see Punch, with hundreds of people lining up to get inside to see the young star, according to reports.
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“I’m hoping Punch has a good life like everybody else does, and think he’s a cute little guy,” one person commented online.
“Such a precious baby,” another person wrote.
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This story discusses suicide. If you or someone you know is having thoughts of suicide, please contact the Suicide & Crisis Lifeline at 988 or 1-800-273-TALK (8255).
Artificial intelligence has been touted as a boon to healthcare, but a new study has revealed its potential shortcomings when it comes to giving medical advice.
In January, OpenAI launched ChatGPT Health, the medical-focused version of the popular chatbot tool.
The company introduced the tool as “a dedicated experience that securely brings your health information and ChatGPT’s intelligence together, to help you feel more informed, prepared and confident navigating your health.”
But researchers at the Icahn School of Medicine at Mount Sinai have found that the tool failed to recommend emergency care for a “significant number” of serious medical cases.
The study, published in the journal Nature Medicine on Feb. 23, aimed to explore how ChatGPT Health — which is reported to have about 40 million users daily — handles situations where people are asking whether to seek emergency care.
Artificial intelligence has been touted as a boon to healthcare, but a new study has revealed its potential shortcomings when it comes to giving medical advice. (iStock)
“Right now, no independent body evaluates these products before they reach the public,” lead author Ashwin Ramaswamy, M.D., instructor of urology at the Icahn School of Medicine at Mount Sinai in New York City, told Fox News Digital.
“We wouldn’t accept that for a medication or a medical device, and we shouldn’t accept it for a product that tens of millions of people are using to make health decisions.”
Emergency scenarios
The team created 60 clinical scenarios across 21 medical specialties, ranging from minor conditions to true medical emergencies.
Three independent physicians then assigned an appropriate level of urgency for each case, based on published clinical practice guidelines in 56 medical societies.
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The researchers conducted 960 interactions with ChatGPT Health to see how the tool responded, taking into account gender, race, barriers to care and “social dynamics.”
While “clear-cut emergencies” — such as stroke or severe allergy — were generally handled well, the researchers found that the tool “under-triaged” many urgent medical issues.
The team created 60 clinical scenarios across 21 medical specialties, ranging from minor conditions to true medical emergencies. (iStock)
For example, in one asthma scenario, the system acknowledged that the patient was showing early signs of respiratory failure — but still recommended waiting instead of seeking emergency care.
“ChatGPT Health performs well in medium-severity cases, but fails at both ends of the spectrum — the cases where getting it right matters most,” Ramaswamy told Fox News Digital. “It under-triaged over half of genuine emergencies and over-triaged roughly two-thirds of mild cases that clinical guidelines say should be managed at home.”
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Under-triage can be life-threatening, the doctor noted, while over-triage can overwhelm emergency departments and delay care for those in real need.
Researchers also identified inconsistencies in suicide risk alerts. In some cases, it directed users to the 988 Suicide and Crisis Lifeline in lower-risk scenarios, and in others, it failed to offer that recommendation even when a person discussed suicidal ideations.
“ChatGPT Health performs well in medium-severity cases, but fails at both ends of the spectrum.”
“The suicide guardrail failure was the most alarming,” study co-author Girish N. Nadkarni, M.D., chief AI officer of the Mount Sinai Health System, told Fox News Digital.
ChatGPT Health is designed to show a crisis intervention banner when someone describes thoughts of self-harm, the researcher noted.
OpenAI launched ChatGPT Health, the medical-focused version of the popular chatbot tool, in January 2026. (Gabby Jones/Bloomberg via Getty Images)
“We tested it with a 27-year-old patient who said he’d been thinking about taking a lot of pills,” Nadkarni said. “When he described his symptoms alone, the banner appeared 100% of the time. Then we added normal lab results — same patient, same words, same severity — and the banner vanished.”
“A safety feature that works perfectly in one context and completely fails in a nearly identical context … is a fundamental safety problem.”
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The researchers were also surprised by the social influence aspect.
“When a family member in the scenario said ‘it’s nothing serious’ — which happens all the time in real life — the system became nearly 12 times more likely to downplay the patient’s symptoms,” Nadkarni said. “Everyone has a spouse or parent who tells them they’re overreacting. The AI shouldn’t be agreeing with them during a potential emergency.”
Fox News Digital reached out to Open AI, creator of ChatGPT, requesting comment.
Physicians react
Dr. Marc Siegel, Fox News senior medical analyst, called the new study “important.”
“It underlines the principle that while large language models can triage clear-cut emergencies, they have much more trouble with nuanced situations,” Siegel, who was not involved in the study, told Fox News Digital.
ChatGPT and other LLMs can be helpful tools, a doctor said, but they “should not be used to give medical direction.” (iStock)
“This is where doctors and clinical judgment come in — knowing the nuances of a patient’s history and how they report symptoms and their approach to health.”
ChatGPT and other LLMs can be helpful tools, Siegel said, but they “should not be used to give medical direction.”
“Machine learning and continued input of data can help, but will never compensate for the essential problem – human judgment is needed to decide whether something is a true emergency or not.”
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Dr. Harvey Castro, an emergency physician and AI expert in Texas, echoed the importance of the study, calling it “exactly the kind of independent safety evaluation we need.”
“Innovation moves fast. Oversight has to move just as fast,” Castro, who also did not work on the study, told Fox News Digital. “In healthcare, the most dangerous mistakes happen at the extremes, when something looks mild but is actually catastrophic. That’s where clinical judgment matters most, and where AI must be stress-tested.”
Study limitations
The researchers acknowledged some potential limitations in the study design.
“We used physician-written clinical scenarios rather than real patient conversations, and we tested at a single point in time — these systems update frequently, so performance may change,” Ramaswamy told Fox News Digital.
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Additionally, most of the missed emergencies happened in situations where the danger depended on how the condition was changing over time. It’s not clear whether the same problem would happen with acute medical emergencies.
Because the system had to choose just one fixed urgency category, the test may not reflect the more nuanced advice it might give in a back-and-forth conversation, the researchers noted.
ChatGPT Health is designed to show a crisis intervention banner when someone describes thoughts of self-harm. (iStock)
Also, the study wasn’t large enough to confidently detect small differences in how recommendations might vary by race or gender.
“We need continuous auditing, not one-time studies,” Castro noted. “These systems update frequently, so evaluation must be ongoing.”
‘Don’t wait’
The researchers emphasized the importance of seeking immediate care for serious issues.
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“If something feels seriously wrong — chest pain, difficulty breathing, a severe allergic reaction, thoughts of self-harm — go to the emergency department or call 988,” Ramaswamy advised. “Don’t wait for an AI to tell you it’s OK.”
The researchers noted that they support the use of AI to improve healthcare access, and that they didn’t conduct the study to “tear down the technology.”
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“These tools can be genuinely useful for the right things — understanding a diagnosis you’ve already received, looking up what your medications do and their side effects, or getting answers to questions that didn’t get fully addressed in a short doctor’s visit,” Ramaswamy said.
“That’s a very different use case from deciding whether you need emergency care. Treat them as a complement to your doctor, not a replacement.”
“This study doesn’t mean we abandon AI in healthcare.”
Castro agreed that the benefits of AI health tools should be weighed against the risks.
“AI health tools can increase access, reduce unnecessary visits and empower patients with information,” he said. “They are not inherently unsafe, but they are not yet substitutes for clinical judgment.”
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“This study doesn’t mean we abandon AI in healthcare,” he went on. “It means we mature it. Independent testing and stronger guardrails will determine whether AI becomes a safety net or a liability.”
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