Your Digital Avatar May One Day Get Sick Before You Do
Artificial intelligence is everywhere, just not in the way you think it is.
These networks, loosely designed after the human brain, are interconnected computers that have the ability to "learn."
"There's the perception of AI in the glossy magazines," says Anders Kofod-Petersen, a professor of Artificial Intelligence at the Norwegian University of Science and Technology. "That's the sci-fi version. It resembles the small guy in the movie AI. It might be benevolent or it might be evil, but it's generally intelligent and conscious."
"And this is, of course, as far from the truth as you can possibly get."
What Exactly Is Artificial Intelligence, Anyway?
Let's start with how you got to this piece. You likely came to it through social media. Your Facebook account, Twitter feed, or perhaps a Google search. AI influences all of those things, machine learning helping to run the algorithms that decide what you see, when, and where. AI isn't the little humanoid figure; it's the system that controls the figure.
"AI is being confused with robotics," Eleonore Pauwels, Director of the Anticipatory Intelligence Lab with the Science and Technology Innovation Program at the Wilson Center, says. "What AI is right now is a data optimization system, a very powerful data optimization system."
The revolution in recent years hasn't come from the method scientists and other researchers use. The general ideas and philosophies have been around since the late 1960s. Instead, the big change has been the dramatic increase in computing power, primarily due to the development of neural networks. These networks, loosely designed after the human brain, are interconnected computers that have the ability to "learn." An AI, for example, can be taught to spot a picture of a cat by looking at hundreds of thousands of pictures that have been labeled "cat" and "learning" what a cat looks like. Or an AI can beat a human at Go, an achievement that just five years ago Kofod-Petersen thought wouldn't be accomplished for decades.
"It's very difficult to argue that something is intelligent if it can't learn, and these algorithms are getting pretty good at learning stuff. What they are not good at is learning how to learn."
Medicine is the field where this expertise in perception tasks might have the most influence. It's already having an impact as iPhones use AI to detect cancer, Apple watches alert the wearer to a heart problem, AI spots tuberculosis and the spread of breast cancer with a higher accuracy than human doctors, and more. Every few months, another study demonstrates more possibility. (The New Yorker published an article about medicine and AI last year, so you know it's a serious topic.)
But this is only the beginning. "I personally think genomics and precision medicine is where AI is going to be the biggest game-changer," Pauwels says. "It's going to completely change how we think about health, our genomes, and how we think about our relationship between our genotype and phenotype."
The Fundamental Breakthrough That Must Be Solved
To get there, however, researchers will need to make another breakthrough, and there's debate about how long that will take. Kofod-Petersen explains: "If we want to move from this narrow intelligence to this broader intelligence, that's a very difficult problem. It basically boils down to that we haven't got a clue about what intelligence actually is. We don't know what intelligence means in a biological sense. We think we might recognize it but we're not completely sure. There isn't a working definition. We kind of agree with the biologists that learning is an aspect of it. It's very difficult to argue that something is intelligent if it can't learn, and these algorithms are getting pretty good at learning stuff. What they are not good at is learning how to learn. They can learn specific tasks but we haven't approached how to teach them to learn to learn."
In other words, current AI is very, very good at identifying that a picture of a cat is, in fact, a cat – and getting better at doing so at an incredibly rapid pace – but the system only knows what a "cat" is because that's what a programmer told it a furry thing with whiskers and two pointy ears is called. If the programmer instead decided to label the training images as "dogs," the AI wouldn't say "no, that's a cat." Instead, it would simply call a furry thing with whiskers and two pointy ears a dog. AI systems lack the explicit inference that humans do effortlessly, almost without thinking.
Pauwels believes that the next step is for AI to transition from supervised to unsupervised learning. The latter means that the AI isn't answering questions that a programmer asks it ("Is this a cat?"). Instead, it's almost like it's looking at the data it has, coming up with its own questions and hypothesis, and answering them or putting them to the test. Combining this ability with the frankly insane processing power of the computer system could result in game-changing discoveries.
In the not-too-distant future, a doctor could run diagnostics on a digital avatar, watching which medical conditions present themselves before the person gets sick in real life.
One company in China plans to develop a way to create a digital avatar of an individual person, then simulate that person's health and medical information into the future. In the not-too-distant future, a doctor could run diagnostics on a digital avatar, watching which medical conditions presented themselves – cancer or a heart condition or anything, really – and help the real-life version prevent those conditions from beginning or treating them before they became a life-threatening issue.
That, obviously, would be an incredibly powerful technology, and it's just one of the many possibilities that unsupervised AI presents. It's also terrifying in the potential for misuse. Even the term "unsupervised AI" brings to mind a dystopian landscape where AI takes over and enslaves humanity. (Pick your favorite movie. There are dozens.) This is a concern, something for developers, programmers, and scientists to consider as they build the systems of the future.
The Ethical Problem That Deserves More Attention
But the more immediate concern about AI is much more mundane. We think of AI as an unbiased system. That's incorrect. Algorithms, after all, are designed by someone or a team, and those people have explicit or implicit biases. Intentionally, or more likely not, they introduce these biases into the very code that forms the basis for the AI. Current systems have a bias against people of color. Facebook tried to rectify the situation and failed. These are two small examples of a larger, potentially systemic problem.
It's vital and necessary for the people developing AI today to be aware of these issues. And, yes, avoid sending us to the brink of a James Cameron movie. But AI is too powerful a tool to ignore. Today, it's identifying cats and on the verge of detecting cancer. In not too many tomorrows, it will be on the forefront of medical innovation. If we are careful, aware, and smart, it will help simulate results, create designer drugs, and revolutionize individualize medicine. "AI is the only way to get there," Pauwels says.
Stacey Khoury felt more fatigued and out of breath than she was used to from just walking up the steps to her job in retail jewelry sales in Nashville, Tennessee. By the time she got home, she was more exhausted than usual, too.
"I just thought I was working too hard and needed more exercise," recalls the native Nashvillian about those days in December 2010. "All of the usual excuses you make when you're not feeling 100%."
As a professional gemologist, being hospitalized during peak holiday sales season wasn't particularly convenient. There was no way around it though when her primary care physician advised Khoury to see a blood disorder oncologist because of her disturbing blood count numbers. As part of a routine medical exam, a complete blood count screens for a variety of diseases and conditions that affect blood cells, such as anemia, infection, inflammation, bleeding disorders and cancer.
"If approved, it will allow more patients to potentially receive a transplant than would have gotten one before."
While she was in the hospital, a bone marrow biopsy revealed that Khoury had acute myeloid leukemia, or AML, a high-risk blood cancer. After Khoury completed an intense first round of chemotherapy, her oncologist recommended a bone marrow transplant. The potentially curative treatment for blood-cancer patients requires them to first receive a high dose of chemotherapy. Next, an infusion of stem cells from a healthy donor's bone marrow helps form new blood cells to fight off the cancer long-term.
Each year, approximately 8,000 patients in the U.S. with AML and other blood cancers receive a bone marrow transplant from a donor, according to the Center for International Blood and Marrow Transplant Research. But Khoury wasn't so lucky. She ended up being among the estimated 40% of patients eligible for bone marrow transplants who don't receive one, usually because there's no matched donor available.
Khoury's oncologist told her about another option. She could enter a clinical trial for an investigational cell therapy called omidubicel, which is being developed by Israeli biotech company Gamida Cell. The company's cell therapy, which is still experimental, could up a new avenue of treatment for cancer patients who can't get a bone marrow transplant.
Omidubicel consists of stem cells from cord blood that have been expanded using Gamida's technology to ensure there are enough cells for a therapeutic dose. The company's technology allows the immature cord blood cells to multiply quickly in the lab. Like a bone marrow transplant, the goal of the therapy is to make sure the donor cells make their way to the bone marrow and begin producing healthy new cells — a process called engraftment.
"If approved, it will allow more patients to potentially receive a transplant than would have gotten one before, so there's something very novel and exciting about that," says Ronit Simantov, Gamida Cell's chief medical officer.
Khoury and her husband Rick packed up their car and headed to the closest trial site, the Duke University School of Medicine, roughly 500 miles away. There they met with Mitchell Horowitz, a stem cell transplant specialist at Duke and principal investigator for Gamida's omidubicel study in the U.S.
He told Khoury she was a perfect candidate for the trial, and she enrolled immediately. "When you have one of two decisions, and it's either do this or you're probably not going to be around, it was a pretty easy decision to make, and I am truly thankful for that," she says.
Khoury's treatment started at the end of March 2011, and she was home by July 4 that year. She say the therapy "worked the way the doctors wanted it to work." Khoury's blood counts were rising quicker than the people who had bone marrow matches, and she was discharged from Duke earlier than other patients were.
By expanding the number of cord blood cells — which are typically too few to treat an adult — omidubicel allows doctors to use cord blood for patients who require a transplant but don't have a donor match for bone marrow.
Patients receiving omidubicel first get a blood test to determine their human leukocyte antigen, or HLA, type. This protein is found on most cells in the body and is an important regulator of the immune system. HLA typing is used to match patients to bone marrow and cord blood donors, but cord blood doesn't require as close of a match.
Like bone marrow transplants, one potential complication of omidubicel is graft-versus-host disease, when the donated bone marrow or stem cells register the recipient's body as foreign and attack the body. Depending on the severity of the response, according to the Mayo Clinic, treatment includes medication to suppress the immune system, such as steroids. In clinical trials, the occurrence of graft-versus-host disease with omidubicel was comparable with traditional bone marrow transplants.
"Transplant doctors are working on improving that," Simantov says. "A number of new therapies that specifically address graft-versus-host disease will be making some headway in the coming months and years."
Gamida released the results of the Phase 3 study in February and continues to follow Khoury and the other study patients for their long-term outcomes. The large randomized trial evaluated the safety and efficacy of omidubicel compared to standard umbilical cord blood transplants in patients with blood cancer who didn't have a suitable bone marrow donor. Around 120 patients aged 12 to 65 across the U.S., Europe and Asia were included in the trial. The study found that omidubicel resulted in faster recovery, fewer bacterial and viral infections and fewer days in the hospital.
The company plans to seek FDA approval this year. Simantov anticipates the therapy will receive FDA approval by 2022.
"Opening up cord blood transplants is very important, especially for people of diverse ethnic backgrounds," says oncologist Gary Schiller, principal investigator at the David Geffen School of Medicine at UCLA for Gamida Cell's mid- and late-stage trials. "This expansion technology makes a big difference because it makes cord blood an available option for those who do not have another donor source."
As for Khoury, who proudly celebrated the anniversary of her first transplant in April—she remains cancer free and continues to work full-time as a gemologist. When she has a little free time, she enjoys gardening, sewing, or maybe traveling to national parks like Yellowstone or the Grand Canyon with her husband Rick.
Paralyzed By Polio, This British Tea Broker Changed the Course Of Medical History Forever
In December 1958, on a vacation with his wife in Kenya, a 28-year-old British tea broker named Robin Cavendish became suddenly ill. Neither he nor his wife Diana knew it at the time, but Robin's illness would change the course of medical history forever.
Robin was rushed to a nearby hospital in Kenya where the medical staff delivered the crushing news: Robin had contracted polio, and the paralysis creeping up his body was almost certainly permanent. The doctors placed Robin on a ventilator through a tracheotomy in his neck, as the paralysis from his polio infection had rendered him unable to breathe on his own – and going off the average life expectancy at the time, they gave him only three months to live. Robin and Diana (who was pregnant at the time with their first child, Jonathan) flew back to England so he could be admitted to a hospital. They mentally prepared to wait out Robin's final days.
But Robin did something unexpected when he returned to the UK – just one of many things that would astonish doctors over the next several years: He survived. Diana gave birth to Jonathan in February 1959 and continued to visit Robin regularly in the hospital with the baby. Despite doctors warning that he would soon succumb to his illness, Robin kept living.
After a year in the hospital, Diana suggested something radical: She wanted Robin to leave the hospital and live at home in South Oxfordshire for as long as he possibly could, with her as his nurse. At the time, this suggestion was unheard of. People like Robin who depended on machinery to keep them breathing had only ever lived inside hospital walls, as the prevailing belief was that the machinery needed to keep them alive was too complicated for laypeople to operate. But Diana and Robin were up for the challenges – and the risks. Because his ventilator ran on electricity, if the house were to unexpectedly lose power, Diana would either need to restore power quickly or hand-pump air into his lungs to keep him alive.
Robin's wheelchair was not only the first of its kind; it became the model for the respiratory wheelchairs that people still use today.
In an interview as an adult, Jonathan Cavendish reflected on his parents' decision to live outside the hospital on a ventilator: "My father's mantra was quality of life," he explained. "He could have stayed in the hospital, but he didn't think that was as good of a life as he could manage. He would rather be two minutes away from death and living a full life."
After a few years of living at home, however, Robin became tired of being confined to his bed. He longed to sit outside, to visit friends, to travel – but had no way of doing so without his ventilator. So together with his friend Teddy Hall, a professor and engineer at Oxford University, the two collaborated in 1962 to create an entirely new invention: a battery-operated wheelchair prototype with a ventilator built in. With this, Robin could now venture outside the house – and soon the Cavendish family became famous for taking vacations. It was something that, by all accounts, had never been done before by someone who was ventilator-dependent. Robin and Hall also designed a van so that the wheelchair could be plugged in and powered during travel. Jonathan Cavendish later recalled a particular family vacation that nearly ended in disaster when the van broke down outside of Barcelona, Spain:
"My poor old uncle [plugged] my father's chair into the wrong socket," Cavendish later recalled, causing the electricity to short. "There was fire and smoke, and both the van and the chair ground to a halt." Johnathan, who was eight or nine at the time, his mother, and his uncle took turns hand-pumping Robin's ventilator by the roadside for the next thirty-six hours, waiting for Professor Hall to arrive in town and repair the van. Rather than being panicked, the Cavendishes managed to turn the vigil into a party. Townspeople came to greet them, bringing food and music, and a local priest even stopped by to give his blessing.
Robin had become a pioneer, showing the world that a person with severe disabilities could still have mobility, access, and a fuller quality of life than anyone had imagined. His mission, along with Hall's, then became gifting this independence to others like himself. Robin and Hall raised money – first from the Ernest Kleinwort Charitable Trust, and then from the British Department of Health – to fund more ventilator chairs, which were then manufactured by Hall's company, Littlemore Scientific Engineering, and given to fellow patients who wanted to live full lives at home. Robin and Hall used themselves as guinea pigs, testing out different models of the chairs and collaborating with scientists to create other devices for those with disabilities. One invention, called the Possum, allowed paraplegics to control things like the telephone and television set with just a nod of the head. Robin's wheelchair was not only the first of its kind; it became the model for the respiratory wheelchairs that people still use today.
Robin went on to enjoy a long and happy life with his family at their house in South Oxfordshire, surrounded by friends who would later attest to his "down-to-earth" personality, his sense of humor, and his "irresistible" charm. When he died peacefully at his home in 1994 at age 64, he was considered the world's oldest-living person who used a ventilator outside the hospital – breaking yet another barrier for what medical science thought was possible.