Technology’s Role in Feeding a Soaring Population Raises This Dilemma
When farmer Terry Wanzek walks out in his fields, he sometimes sees a grove of trees, which reminds him of his grandfather, who planted those trees. Or he looks out over the pond, which deer, ducks and pheasant use for water, and he knows that his grandfather made a decision to drain land and put the pond in that exact spot.
Growing more with fewer resources is becoming increasingly urgent as the Earth's population is expected to hit 9.1 billion by 2050.
"There is a connection that goes beyond running a business and making a profit," says Wanzek, a fourth-generation North Dakota farmer who raises spring wheat, corn, soybeans, barley, dry edible beans and sunflowers. "There is a connection to family, to your ancestors and there is a connection to your posterity and your kids."
Wanzek's corn and soybeans are genetically modified (GM) crops, which means that they have been altered at the DNA level to create desirable traits. This intervention, he says, allows him to start growing earlier and to produce more food per acre.
Growing more with fewer resources is becoming increasingly urgent as the Earth's population is expected to hit 9.1 billion by 2050, with nearly all of the rise coming from developing countries, according to the Food and Agriculture Organization of the United Nations. This population will be urban, which means they'll likely be eating fewer grains and other staple crops, and more vegetables, fruits, meat, dairy, and fish.
Whether those foods will be touched in some way by technology remains a high-stakes question. As for GM foods, the American public is somewhat skeptical: in a recent survey, about one-third of Americans report that they are actively avoiding GMOs or seek out non-GMO labels when shopping and purchasing foods. These consumers fear unsafe food and don't want biotechnologists to tamper with nature. This disconnect—between those who consume food and those who produce it—is only set to intensify as major agricultural companies work to develop further high-tech farming solutions to meet the needs of the growing population.
"I don't think we have a choice going forward. The world isn't getting smaller. We have to come up with a means of using less."
In the future, it may be possible to feed the world. But what if the world doesn't want the food?
A Short History
Genetically modified food is not new. The first such plant (the Flavr Savr tomato) was approved for human consumption and brought to market in 1994, but people didn't like the taste. Today, nine genetically modified food crops are commercially available in the United States (corn, soybean, squash, papaya, alfalfa, sugar beets, canola, potato and apples). Most were modified to increase resistance to disease or pests, or tolerance to a specific herbicide. Such crops have in fact been found to increase yields, with a recent study showing grain yield was up to 24.5 percent higher in genetically engineered corn.
Despite some consumer skepticism, many farmers don't have a problem with GM crops, says Jennie Schmidt, a farmer and registered dietician in Maryland. She says with a laugh that her farm is a "grocery store farm - we grow the ingredients you buy in products at the grocery store." Schmidt's father-in-law, who started the farm, watched the adoption of hybrid corn improve seeds in the 1930s and 1940s.
"It wasn't a difficult leap to see how well these hybrid corn seeds have done over the decades," she says. "So when the GMOs came out, it was a quicker adoption curve, because as farmers they had already been exposed to the first generation and this was just the next step."
Schmidt, for one, is excited about the gene-editing tool CRISPR and other ways biotechnologists can create food like apples or potatoes with a particular enzyme turned off so they don't go brown during oxidation. Other foods in the pipeline include disease-resistant citrus, low-gluten wheat, fungus-resistant bananas, and anti-browning mushrooms.
"We need to not judge our agriculture by yield per acre but nutrition per acre."
"I don't think we have a choice going forward," says Schmidt. "The world isn't getting smaller. We have to come up with a means of using less."
A Different Way Forward?
But others remain convinced that there are better ways to feed the planet. Andrew Kimball, executive director of the Center for Food Safety, a non-profit that promotes organic and sustainable agriculture, says the public has been sold a lie with biotech. "GMO technology is not proven as a food producer," he says. "It's just not being done anywhere at a large scale. Ninety-nine percent of GMOs are corn and soy, and they allow chemical companies to sell more chemicals. But that doesn't increase food or decrease hunger." Instead, Kimball advocates for a pivot from commodity agriculture to farms with crop diversity and animals.
Kimball also suggests a way to use land more appropriately: stop growing so much biofuel. Right now, in the U.S., more than 55 percent of our crop farmland is in corn and soy. About 40 percent of that goes into cars through ethanol, 40 percent is fed to animals and a good bit of the rest goes into high-fructose corn syrup. That leaves only a small amount to feed people, says Kimball. "If you want to feed the world, not just the U.S., you want to make sure to use that land to feed people," he says. "We need to not judge our agriculture by yield per acre but nutrition per acre."
Robert Streiffer, a bioethicist at the University of Wisconsin at Madison, agrees that GMOs haven't really helped alleviate hunger. Glyphosate resistance, one of the traits that is most commonly used in genetically engineered crops, doesn't improve yield or allow crops to be grown in areas where they weren't able to be grown before. "Insect resistance through the insertion of a Bt gene can improve yield, but is mostly used for cotton (which is not a food crop) and corn which goes to feed cattle, a very inefficient method of feeding the hungry, to say the least," he says. Important research is being done in crops such as cassava, which could help relieve global hunger. But in his opinion, these researchers lack the profit potential needed to motivate large private funding sources, so they require more public-sector funding.
"A substantial portion of public opposition is as much about the lack of any perceived benefits for the consumers as it is for outright fear of health or environmental dangers."
"Public opposition to biotech foods is certainly a factor, but I expect this will slowly decline as labels indicating the presence of GE (genetically engineered) ingredients become more common, and as we continue to amass reassuring data on the comparative environmental safety of GE crops," says Streiffer. "A substantial portion of public opposition is as much about the lack of any perceived benefits for the consumers as it is for outright fear of health or environmental dangers."
One sign that the public may be willing to embrace some non-natural foods is the recent interest in cultured meat, which is grown in a lab from animal cells but doesn't require raising or killing animals. A study published last year in PLOS One found that 65 percent of 673 surveyed U.S. individuals would probably or definitely try cultured meat, while only 8.5 percent said they definitely would not. In the future, lab-grown food may become another way to create more food with fewer resources.
Danielle Nierenberg, president of the Food Tank, a nonprofit organization focused on building a global community of safe and healthy food, points to an even more immediate problem: food waste. Globally, about a third of food is thrown out or goes bad before it has a chance to be eaten. She says simply fixing roads and infrastructure in developing countries would go a long way toward ensuring that food reaches the hungry. Focusing on helping small farmers (who grow 70 percent of food around the globe), especially female farmers, would go a long way, she says.
Innovation on the Farm
In addition to good roads, those farmers need fertilizer. Nitrogen-based fertilizers may get a boost in the future from technologies that release nutrients slowly over time, like slow-release medicines based on nanotechnology. In field trials on rice in Sri Lanka, one such nanotech fertilizer increased crop yields by 10 percent, even though it delivered only half the amount of urea compared with traditional fertilizer, according to a study last year.
"I'm not afraid of the food I grow. We live in the same environment, and I feel completely safe."
One startup, the San-Francisco-based Biome Makers, is profiling microbial DNA to give farmers an idea of what their soil needs to better support crops. Joyn Bio, another new startup based in Boston and West Sacramento, is looking to engineer microbes that could reduce farming's reliance on nitrogen fertilizer, which is expensive and harms the environment. (Full disclosure: Joyn Bio and this magazine are funded by the same company, Leaps by Bayer, though leapsmag is editorially independent. Also, Bayer recently acquired Monsanto, the leading producer of genetically engineered seeds and the herbicide Roundup.)
Terry Wanzek, the farmer in North Dakota, says he'd be willing to try any new technology as long as it helps his bottom line – and increases sustainability. "I'm not afraid of the food I grow," he says of his genetically modified produce. "We eat the same food, we live in the same environment, and I feel completely safe."
Only time will tell if people several decades from now feel the same way. But no matter how their food is produced, one thing is certain: those people will need to eat.
Story by Big Think
For most of history, artificial intelligence (AI) has been relegated almost entirely to the realm of science fiction. Then, in late 2022, it burst into reality — seemingly out of nowhere — with the popular launch of ChatGPT, the generative AI chatbot that solves tricky problems, designs rockets, has deep conversations with users, and even aces the Bar exam.
But the truth is that before ChatGPT nabbed the public’s attention, AI was already here, and it was doing more important things than writing essays for lazy college students. Case in point: It was key to saving the lives of tens of millions of people.
AI-designed mRNA vaccines
As Dave Johnson, chief data and AI officer at Moderna, told MIT Technology Review‘s In Machines We Trust podcast in 2022, AI was integral to creating the company’s highly effective mRNA vaccine against COVID. Moderna and Pfizer/BioNTech’s mRNA vaccines collectively saved between 15 and 20 million lives, according to one estimate from 2022.
Johnson described how AI was hard at work at Moderna, well before COVID arose to infect billions. The pharmaceutical company focuses on finding mRNA therapies to fight off infectious disease, treat cancer, or thwart genetic illness, among other medical applications. Messenger RNA molecules are essentially molecular instructions for cells that tell them how to create specific proteins, which do everything from fighting infection, to catalyzing reactions, to relaying cellular messages.
Johnson and his team put AI and automated robots to work making lots of different mRNAs for scientists to experiment with. Moderna quickly went from making about 30 per month to more than one thousand. They then created AI algorithms to optimize mRNA to maximize protein production in the body — more bang for the biological buck.
For Johnson and his team’s next trick, they used AI to automate science, itself. Once Moderna’s scientists have an mRNA to experiment with, they do pre-clinical tests in the lab. They then pore over reams of data to see which mRNAs could progress to the next stage: animal trials. This process is long, repetitive, and soul-sucking — ill-suited to a creative scientist but great for a mindless AI algorithm. With scientists’ input, models were made to automate this tedious process.
“We don’t think about AI in the context of replacing humans,” says Dave Johnson, chief data and AI officer at Moderna. “We always think about it in terms of this human-machine collaboration, because they’re good at different things. Humans are really good at creativity and flexibility and insight, whereas machines are really good at precision and giving the exact same result every single time and doing it at scale and speed.”
All these AI systems were in put in place over the past decade. Then COVID showed up. So when the genome sequence of the coronavirus was made public in January 2020, Moderna was off to the races pumping out and testing mRNAs that would tell cells how to manufacture the coronavirus’s spike protein so that the body’s immune system would recognize and destroy it. Within 42 days, the company had an mRNA vaccine ready to be tested in humans. It eventually went into hundreds of millions of arms.
Biotech harnesses the power of AI
Moderna is now turning its attention to other ailments that could be solved with mRNA, and the company is continuing to lean on AI. Scientists are still coming to Johnson with automation requests, which he happily obliges.
“We don’t think about AI in the context of replacing humans,” he told the Me, Myself, and AI podcast. “We always think about it in terms of this human-machine collaboration, because they’re good at different things. Humans are really good at creativity and flexibility and insight, whereas machines are really good at precision and giving the exact same result every single time and doing it at scale and speed.”
Moderna, which was founded as a “digital biotech,” is undoubtedly the poster child of AI use in mRNA vaccines. Moderna recently signed a deal with IBM to use the company’s quantum computers as well as its proprietary generative AI, MoLFormer.
Moderna’s success is encouraging other companies to follow its example. In January, BioNTech, which partnered with Pfizer to make the other highly effective mRNA vaccine against COVID, acquired the company InstaDeep for $440 million to implement its machine learning AI across its mRNA medicine platform. And in May, Chinese technology giant Baidu announced an AI tool that designs super-optimized mRNA sequences in minutes. A nearly countless number of mRNA molecules can code for the same protein, but some are more stable and result in the production of more proteins. Baidu’s AI, called “LinearDesign,” finds these mRNAs. The company licensed the tool to French pharmaceutical company Sanofi.
Writing in the journal Accounts of Chemical Research in late 2021, Sebastian M. Castillo-Hair and Georg Seelig, computer engineers who focus on synthetic biology at the University of Washington, forecast that AI machine learning models will further accelerate the biotechnology research process, putting mRNA medicine into overdrive to the benefit of all.
This article originally appeared on Big Think, home of the brightest minds and biggest ideas of all time.
Opioid prescription policies may hurt those in chronic pain
Tinu Abayomi-Paul works as a writer and activist, plus one unwanted job: Trying to fill her opioid prescription. She says that some pharmacists laugh and tell her that no one needs the amount of pain medication that she is seeking. Another pharmacist near her home in Venus, Tex., refused to fill more than seven days of a 30-day prescription.
To get a new prescription—partially filled opioid prescriptions can’t be dispensed later—Abayomi-Paul needed to return to her doctor’s office. But without her medication, she was having too much pain to travel there, much less return to the pharmacy. She rationed out the pills over several weeks, an agonizing compromise that left her unable to work, interact with her children, sleep restfully, or leave the house. “Don’t I deserve to do more than survive?” she says.
Abayomi-Paul’s pain results from a degenerative spine disorder, chronic lymphocytic leukemia, and more than a dozen other diagnoses and disabilities. She is part of a growing group of people with chronic pain who have been negatively impacted by the fallout from efforts to prevent opioid overdose deaths.
Guidelines for dispensing these pills are complicated because many opioids, like codeine, oxycodone, and morphine, are prescribed legally for pain. Yet, deaths from opioids have increased rapidly since 1999 and become a national emergency. Many of them, such as heroin, are used illegally. The CDC identified three surges in opioid use: an increase in opioid prescriptions in the ‘90s, a surge of heroin around 2010, and an influx of fentanyl and other powerful synthetic opioids in 2013.
As overdose deaths grew, so did public calls to address them, prompting the CDC to change its prescription guidelines in 2016. The new guidelines suggested limiting medication for acute pain to a seven-day supply, capping daily doses of morphine, and other restrictions. Some statistics suggest that these policies have worked; from 2016 to 2019, prescriptions for opiates fell 44 percent. Physicians also started progressively lowering opioid doses for patients, a practice called tapering. A study tracking nearly 100,000 Medicare subscribers on opioids found that about 13 percent of patients were tapering in 2012, and that number increased to about 23 percent by 2017.
But some physicians may be too aggressive with this tapering strategy. About one in four people had doses reduced by more than 10 percent per week, a rate faster than the CDC recommends. The approach left people like Abayomi-Paul without the medication they needed. Every year, Abayomi-Paul says, her prescriptions are harder to fill. David Brushwood, a pharmacy professor who specializes in policy and outcomes at the University of Florida in Gainesville, says opioid dosing isn’t one-size-fits-all. “Patients need to be taken care of individually, not based on what some government agency says they need,” he says.
‘This is not survivable’
Health policy and disability rights attorney Erin Gilmer advocated for people with pain, using her own experience with chronic pain and a host of medical conditions as a guidepost. She launched an advocacy website, Healthcare as a Human Right, and shared her struggles on Twitter: “This pain is more than anything I've endured before and I've already been through too much. Yet because it's not simply identified no one believes it's as bad as it is. This is not survivable.”
When her pain dramatically worsened midway through 2021, Gilmer’s posts grew ominous: “I keep thinking it can't possibly get worse but somehow every day is worse than the last.”
The CDC revised its guidelines in 2022 after criticisms that people with chronic pain were being undertreated, enduring dangerous withdrawal symptoms, and suffering psychological distress. (Long-term opioid use can cause physical dependency, an adaptive reaction that is different than the compulsive misuse associated with a substance use disorder.) It was too late for Gilmer. On July 7, 2021, the 38-year-old died by suicide.
Last August, an Ohio district court ruling set forth a new requirement for Walgreens, Walmart, and CVS pharmacists in two counties. These pharmacists must now document opioid prescriptions that are turned down, even for customers who have no previous purchases at that pharmacy, and they’re required to share this information with other locations in the same chain. None of the three pharmacies responded to an interview request from Leaps.org.
In a practice called red flagging, pharmacists may label a prescription suspicious for a variety of reasons, such as if a pharmacist observes an unusually high dose, a long distance from the patient’s home to the pharmacy, or cash payment. Pharmacists may question patients or prescribers to resolve red flags but, regardless of the explanation, they’re free to refuse to fill a prescription.
As the risk of litigation has grown, so has finger-pointing, says Seth Whitelaw, a compliance consultant at Whitelaw Compliance Group in West Chester, PA, who advises drug, medical device, and biotech companies. Drugmakers accused in National Prescription Opioid Litigation (NPOL), a complex set of thousands of cases on opioid epidemic deaths, which includes the Ohio district case, have argued that they shouldn’t be responsible for the large supply of opiates and overdose deaths. Yet, prosecutors alleged that these pharmaceutical companies hid addiction and overdose risks when labeling opioids, while distributors and pharmacists failed to identify suspicious orders or scripts.
Patients and pharmacists fear red flags
The requirements that pharmacists document prescriptions they refuse to fill so far only apply to two counties in Ohio. But Brushwood fears they will spread because of this precedent, and because there’s no way for pharmacists to predict what new legislation is on the way. “There is no definition of a red flag, there are no lists of red flags. There is no instruction on what to do when a red flag is detected. There’s no guidance on how to document red flags. It is a standardless responsibility,” Brushwood says. This adds trepidation for pharmacists—and more hoops to jump through for patients.
“I went into the doctor one day here and she said, ‘I'm going to stop prescribing opioids to all my patients effective immediately,” Nicolson says.
“We now have about a dozen studies that show that actually ripping somebody off their medication increases their risk of overdose and suicide by three to five times, destabilizes their health and mental health, often requires some hospitalization or emergency care, and can cause heart attacks,” says Kate Nicolson, founder of the National Pain Advocacy Center based in Boulder, Colorado. “It can kill people.” Nicolson was in pain for decades due to a surgical injury to the nerves leading to her spinal cord before surgeries fixed the problem.
Another issue is that primary care offices may view opioid use as a reason to turn down new patients. In a 2021 study, secret shoppers called primary care clinics in nine states, identifying themselves as long-term opioid users. When callers said their opioids were discontinued because their former physician retired, as opposed to an unspecified reason, they were more likely to be offered an appointment. Even so, more than 40 percent were refused an appointment. The study authors say their findings suggest that some physicians may try to avoid treating people who use opioids.
Abayomi-Paul says red flagging has changed how she fills prescriptions. “Once I go to one place, I try to [continue] going to that same place because of the amount of records that I have and making sure my medications don’t conflict,” Abayomi-Paul says.
Nicolson moved to Colorado from Washington D.C. in 2015, before the CDC issued its 2016 guidelines. When the guidelines came out, she found the change to be shockingly abrupt. “I went into the doctor one day here and she said, ‘I'm going to stop prescribing opioids to all my patients effective immediately.’” Since then, she’s spoken with dozens of patients who have been red-flagged or simply haven’t been able to access pain medication.
Despite her expertise, Nicolson isn’t positive she could successfully fill an opioid prescription today even if she needed one. At this point, she’s not sure exactly what various pharmacies would view as a red flag. And she’s not confident that these red flags even work. “You can have very legitimate reasons for being 50 miles away or having to go to multiple pharmacies, given that there are drug shortages now, as well as someone refusing to fill [a prescription.] It doesn't mean that you’re necessarily ‘drug seeking.’”
While there’s no easy solution. Whitelaw says clarifying the role of pharmacists and physicians in patient access to opioids could help people get the medication they need. He is seeking policy changes that focus on the needs of people in pain more than the number of prescriptions filled. He also advocates standardizing the definition of red flags and procedures for resolving them. Still, there will never be a single policy that can be applied to all people, explains Brushwood, the University of Florida professor. “You have to make a decision about each individual prescription.”