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.
When the COVID-19 pandemic began invading the world in late 2019, Peter Hotez and Maria Elena Bottazzi set out to create a low-cost vaccine that would help inoculate populations in low- and middle-income countries. The scientists, with their prior experience of developing inexpensive vaccines for the world’s poor, had anticipated that the global rollout of Covid-19 jabs would be marked with several inequities. They wanted to create a patent-free vaccine to bridge this gap, but the U.S. government did not seem impressed, forcing the researchers to turn to private philanthropies for funds.
Hotez and Bottazzi, both scientists at the Texas Children’s Hospital Center for Vaccine Development at Baylor College of Medicine, raised about $9 million in private funds. Meanwhile, the U.S. government’s contribution stood at $400,000.
“That was a very tough time early on in the pandemic, you know, trying to do the work and raise the money for it at the same time,” says Hotez, who was nominated in February for a Nobel Peace Prize with Bottazzi for their COVID-19 vaccine. He adds that at the beginning of the pandemic, governments emphasized speed, innovation and rapidly immunizing populations in North America and Europe with little consideration for poorer countries. “We knew this [vaccine] was going to be the answer to global vaccine inequality, but I just wish the policymakers had felt the same,” says Hotez.
Over the past two years, the world has witnessed 488 million COVID-19 infections and over 61 million deaths. Over 11 billion vaccine doses have been administered worldwide; however, the global rollout of COVID-19 vaccines is marked with alarming socio-economic inequities. For instance, 72 percent of the population in high-income countries has received at least one dose of the vaccine, whereas the number stands at 15 percent in low-income countries.
This inequity is worsening vulnerabilities across the world, says Lawrence Young, a virologist and co-lead of the Warwick Health Global Research Priority at the UK-based University of Warwick. “As long as the virus continues to spread and replicate, particularly in populations who are under-vaccinated, it will throw up new variants and these will remain a continual threat even to those countries with high rates of vaccination,” says Young, “Therefore, it is in all our interests to ensure that vaccines are distributed equitably across the world.”
“When your house is on fire, you don't call the patent attorney,” says Hotez. “We wanted to be the fire department.”
The vaccine developed by Hotez and Bottazzi recently received emergency use authorisation in India, which plans to manufacture 100 million doses every month. Dubbed ‘Corbevax’ by its Indian maker, Biological E Limited, the vaccine is now being administered in India to children aged 12-14. The patent-free arrangement means that other low- and middle-income countries could also produce and distribute the vaccine locally.
“When your house is on fire, you don't call the patent attorney, you call the fire department,” says Hotez, commenting on the intellectual property rights waiver. “We wanted to be the fire department.”
The Inequity
Vaccine equity simply means that all people, irrespective of their location, should have equal access to vaccines. However, data suggests that the global COVID-19 vaccine rollout has favoured those in richer countries. For instance, high-income countries like the UAE, Portugal, Chile, Singapore, Australia, Malta, Hong Kong and Canada have partially vaccinated over 85 percent of their populations. This percentage in poorer countries, meanwhile, is abysmally low – 2.1 percent in Yemen, 4.6 in South Sudan, 5 in Cameroon, 9.9 in Burkina Faso, 10 in Nigeria, 12 in Somalia, 12 in Congo, 13 in Afghanistan and 21 in Ethiopia.
In late 2019, scientists Peter Hotez and Maria Elena Bottazzi set out to create a low-cost vaccine that would help inoculate populations in low- and middle-income countries. In February, they were nominated for a Nobel Peace Prize.
Texas Children's Hospital
The COVID-19 vaccination coverage is particularly low in African countries, and according to Shabir Madhi, a vaccinologist at the University of the Witwatersrand, Johannesburg and co-director of African Local Initiative for Vaccinology Expertise, vaccine access and inequity remains a challenge in Africa. Madhi adds that a lack of vaccine access has affected the pandemic’s trajectory on the continent, but a majority of its people have now developed immunity through natural infection. “This has come at a high cost of loss of lives,” he says.
COVID-19 vaccines mean a significant financial burden for poorer countries, which spend an average of $41 per capita annually on health, while the average cost of every COVID-19 vaccine dose ranges between $2 and $40 in addition to a distribution cost of $3.70 per person for two doses. In December last year, the World Health Organisation (WHO) set a goal of immunizing 70 percent of the population of all countries by mid-2022. This, however, means that low-income countries would have to increase their health expenditure by an average of 56.6 percent to cover the cost, as opposed to 0.8 per cent in high-income countries.
Reflecting on the factors that have driven global inequity in COVID-19 vaccine distribution, Andrea Taylor, assistant director of programs at the Duke Global Health Innovation Center, says that wealthy nations took the risk of investing heavily in the development and scaling up of COVID-19 vaccines – at a time when there was little evidence to show that vaccines would work. This reserved a place for these nations at the front of the queue when doses started rolling off production lines. Lower-income countries, meanwhile, could not afford such investments.
“Now, however, global supply is not the issue,” says Taylor. “We are making plenty of doses to meet global need. The main problem is infrastructure to get the vaccine where it is most needed in a predictable and timely way and to ensure that countries have all the support they need to store, transport, and use the vaccine once it is received.”
Taufique Joarder, vice-chairperson of Bangladesh's Public Health Foundation, sees the need for more trials and data before Corbevax is made available to the general population.
In addition to global inequities in vaccination coverage, there are inequities within nations. Taufique Joarder, vice-chairperson of Bangladesh’s Public Health Foundation, points to the situation in his country, where vaccination coverage in rural and economically disadvantaged communities has suffered owing to weak vaccine-promotion initiatives and the difficulty many people face in registering online for jabs.
Joarder also cites the example of the COVID-19 immunization drive for children aged 12 years and above. “[Children] are given the Pfizer vaccine, which requires an ultralow temperature for storage. This is almost impossible to administer in many parts of the country, especially the rural areas. So, a large proportion of the children are being left out of vaccination,” says Joarder, adding that Corbevax, which is cheaper and requires regular temperature refrigeration “can be an excellent alternative to Pfizer for vaccinating rural children.”
Corbevax vs. mRNA Vaccines
As opposed to most other COVID-19 vaccines, which use the new Messenger RNA (mRNA) vaccine technology, Corbevax is an “old school” vaccine, says Hotez. The vaccine is made through microbial fermentation in yeast, similar to the process used to produce the recombinant hepatitis B vaccine, which has been administered to children in several countries for decades. Hence, says Hotez, the technology to produce Corbevax at large scales is already in place in countries like Vietnam, Bangladesh, India, Indonesia, Brazil, Argentina, among many others.
“So if you want to rapidly develop and produce and empower low- and middle-income countries, this is the technology to do it,” he says.
“Global access to high-quality vaccines will require serious investment in other types of COVID-19 vaccines," says Andrea Taylor.
The COVID-19 vaccines created by Pfizer-BioNTech and Moderna marked the first time that mRNA vaccine technology was approved for use. However, scientists like Young feel that there is “a need to be pragmatic and not seduced by new technologies when older, tried and tested approaches can also be effective.” Taylor, meanwhile, says that although mRNA vaccines have dominated the COVID-19 vaccine market in the U.S., “there is no clear grounding for this preference in the data we have so far.” She adds that there is also growing evidence that the immunity from these shots may not hold up as well over time as that of vaccines using different platforms.
“The mRNA vaccines are well suited to wealthy countries with sufficient ultra-cold storage and transportation infrastructure, but these vaccines are divas and do not travel well in the rest of the world,” says Taylor. “Global access to high-quality vaccines will require serious investment in other types of COVID-19 vaccines, such as the protein subunit platform used by Novavax and Corbevax. These require only standard refrigeration, can be manufactured using existing facilities all over the world, and are easy to transport.”
Joarder adds that Corbevax is cheaper due to the developers’ waived intellectual rights. It could also be used as a booster vaccine in Bangladesh, where only five per cent of the population has currently received booster doses. “If this vaccine is proved effective for heterologous boosting, [meaning] it works well and is well tolerated as a booster with other vaccines that are available in Bangladesh, this can be useful,” says Joarder.
According to Hotez, Corbevax can play several important roles - as a standalone adult or paediatric vaccine, and as a booster for other vaccines. Studies are underway to determine Corbevax’s effectiveness in these regards, he says.
Need for More Data
Biological E conducted two clinical trials involving 3000 subjects in India, and found Corbevax to be “safe and immunogenic,” with 90 percent effectiveness in preventing symptomatic infections from the original strain of COVID-19 and over 80 percent effectiveness against the Delta variant. The vaccine is currently in use in India, and according to Hotez, it’s in the pipeline at different stages in Indonesia, Bangladesh and Botswana.
However, Corbevax is yet to receive emergency use approval from the WHO. Experts such as Joarder see the need for more trials and data before it is made available to the general population. He says that while the WHO’s emergency approval is essential for global scale-up of the vaccine, we need data to determine age-stratified efficacy of the vaccine and whether it can be used for heterologous boosting with other vaccines. “According to the most recent data, the 100 percent circulating variant in Bangladesh is Omicron. We need to know how effective is Corbevax against the Omicron variant,” says Joarder.
Shabir Madhi, a vaccinologist at the University of the Witwatersrand, Johannesburg and co-director of the African Local Initiative for Vaccinology Expertise, says that a majority of people in Africa have now developed immunity through natural infection. “This has come at a high cost of loss of lives."
Shivan Parusnath
Others, meanwhile, believe that availing vaccines to poorer countries is not enough to resolve the inequity. Young, the Warwick virologist, says that the global vaccination rollout has also suffered from a degree of vaccine hesitancy, echoing similar observations by President Biden and Pfizer’s CEO. The problem can be blamed on poor communication about the benefits of vaccination. “The Corbevax vaccine [helps with the issues of] patent protection, vaccine storage and distribution, but governments need to ensure that their people are clearly informed.” Notably, however, some research has found higher vaccine willingness in lower-income countries than in the U.S.
Young also emphasized the importance of establishing local vaccination stations to improve access. For some countries, meanwhile, it may be too late. Speaking about the African continent, Madhi says that Corbevax has arrived following the peak of the crisis and won’t reverse the suffering and death that has transpired because of vaccine hoarding by high-income countries.
“The same goes for all the sudden donations from countries such as France - pretty much of little to no value when the pandemic is at its tail end,” says Madhi. “This, unfortunately, is a repeat of the swine flu pandemic in 2009, when vaccines only became available to Africa after the pandemic had very much subsided.”
One of the Netherlands’ most famous pieces of pop culture is “Soldier of Orange.” It’s the title of the country’s most celebrated war memoir, movie and epic stage musical, all of which detail the exploits of the nation’s resistance fighters during World War II.
Willem Johan Kolff was a member of the Dutch resistance, but he doesn’t rate a mention in the “Solider of Orange” canon. Yet his wartime toils in a rural backwater not only changed medicine, but the world.
Kolff had been a physician less than two years before Germany invaded the Netherlands in May 1940. He had been engaged in post-graduate studies at the University of Gronigen but withdrew because he refused to accommodate the demands of the Nazi occupiers. Kolff’s Jewish supervisor made an even starker choice: He committed suicide.
After his departure from the university, Kolff took a job managing a small hospital in Kampen. Located 50 miles from the heavily populated coastal region, the facility was far enough away from the prying eyes of Germans that not only could Kolff care for patients, he could hide fellow resistance fighters and even Jewish refugees in relative safety. Kolff coached many of them to feign convincing terminal illnesses so the Nazis would allow them to remain in the hospital.
Despite the demands of practicing medicine and resistance work, Kolff still found time to conduct research. He had been haunted and inspired when, not long before the Nazi invasion, one of his patients died in agony from kidney disease. Kolff wanted to find a way to save future patients.
He broke his problem down to a simple task: If he could remove 20 grams of urea from a patient’s blood in 24 hours, they would survive. He began experimenting with ways to filter blood and return it to a patient’s body. Since the war had ground all non-military manufacturing to a halt, he was mostly forced to make do with material he could find at the hospital and around Kampen. Kolff eventually built a device from a washing machine parts, juice cans, sausage casings, a valve from an old Ford automobile radiator, and even scrap from a downed German aircraft.
The world’s first dialysis machine was hardly imposing; it resembled a rotating drum for a bingo game or raffle. Yet it carried on the highly sophisticated task of moving a patient’s blood through a semi-permeable membrane (about a 50-foot length of sausage casings) into a saline solution that drew out urea while leaving the blood cells untouched.
In emigrating to the U.S. to practice medicine, Kolff's intent was twofold: Advocate for a wider adoption of dialysis, and work on new projects. He wildly succeeded at both.
Kolff began using the machine to treat patients in 1943, most of whom had lapsed into comas due to their kidney failure. But like most groundbreaking medical devices, it was not an immediate success. By the end of the war, Kolff had dialyzed more than a dozen patients, but all had died. He briefly suspended use of the device after the Allied invasion of Europe, but he continued to refine its operation and the administration of blood thinners to patients.
In September 1945, Kolff dialyzed another comatose patient, 67-year-old Sofia Maria Schafstadt. She regained consciousness after 11 hours, and would live well into the 1950s with Kolff’s assistance. Yet this triumph contained a dark irony: At the time of her treatment, Schafstadt had been imprisoned for collaborating with the Germans.
With a tattered Europe struggling to overcome the destruction of the war, Kolff and his family emigrated to the U.S. in 1950, where he began working for the Cleveland Clinic while undergoing the naturalization process so he could practice medicine in the U.S. His intent was twofold: Advocate for a wider adoption of dialysis, and work on new projects. He wildly succeeded at both.
By the mid-1950s, dialysis machines had become reliable and life-saving medical devices, and Kolff had become a U.S. citizen. About that time he invented a membrane oxygenator that could be used in heart bypass surgeries. This was a critical component of the heart-lung machine, which would make heart transplants possible and bypass surgeries routine. He also invented among the very first practical artificial hearts, which in 1957 kept a dog alive for 90 minutes.
Kolff moved to the University of Utah in 1967 to become director of its Institute for Biomedical Engineering. It was a promising time for such a move, as the first successful transplant of a donor heart to a human occurred that year. But he was interested in going a step further and creating an artificial heart for human use.
It took more than a decade of tinkering and research, but in 1982, a team of physicians and engineers led by Kolff succeeded in implanting the first artificial heart in dentist Barney Clark, whose failing health disqualified him from a heart transplant. Although Clark died in March 1983 after 112 days tethered to the device, that it kept him alive generated international headlines. While graduate student Robert Jarvik received the named credit for the heart, he was directly supervised by Kolff, whose various endeavors into artificial organ research at the University of Utah were segmented into numerous teams.
Forty years later, several artificial hearts have been approved for use by the Food and Drug Administration, although all are a “bridge” that allow patients to wait for a transplant.
Kolff continued researching and tinkering with biomedical devices – including artificial eyes and ears – until he retired in 1997 at the age of 86. When he died in 2009, the medical community acknowledged that he was not only a pioneer in biotechnology, but the “father” of artificial organs.