Would You Want to Know a Decade Early If You Were Getting Alzheimer's?
Editor's Note: A team of researchers in Italy recently used artificial intelligence and machine learning to diagnose Alzheimer's disease on a brain scan an entire decade before symptoms show up in the patient. While some people argue that early detection is critical, others believe the knowledge would do more harm than good. LeapsMag invited contributors with opposite opinions to share their perspectives.
I first realized something was wrong with my dad when I came home for Thanksgiving 20 years ago.
I hadn't seen my family for more than a year after moving from New York to California. My father was meticulous, a multi-shower a day man, a regular Beau Brummell. He was never officially diagnosed with dementia, but it was easy to figure out after he stopped leaving the house, stopped reading, stopped being himself. My mother knew, but she never sought help. After his illness showed itself, I asked her if she considered a nursing home. "Never," she told me. "I can take care of him." And she did.
She gave herself a break once to visit me, and it was the first time she traveled separately from him since they eloped at seventeen. My brother watched my father, and it was not smooth. Dad was angry, hallucinating, and demanding his gun, which had been disposed of long ago. While Mom was visiting me in California, we played some board games. One demanded honest answers. The card read, What are you most afraid of? "Dementia," she said.
My father never saw this coming, none of us did.
Dementia ran on my mother's side. Her mother, my Nana, was senile, the popular diagnosis for older folks back then. My grandfather tried his hardest to take care of her, but she kept escaping their tidy 6th floor apartment to run away. My mother would go over every day to take care of them, but once my grandfather became ill, she took her mother into our apartment. She had two small children, Nana, and her husband in a two-bedroom flat. Nana talked to people under plates, wore tissues on her head, and tried to escape. We were on the first floor, so she could run into traffic if all eyes weren't on her. Soon, it was too much, even for my Wonder Woman mom. Nana was placed in a nursing home and died soon after.
My mother dropped dead on a NYC sidewalk two years after my father started to deteriorate. She was probably going to the store to buy milk and cigarettes. A kind stranger called 911, and a cop came to my parent's door soon after to tell my dad the news. My father cried for death, raged and ranted, then calmed down enough to come back as the dad we remembered for the week of mourning. He even ordered a Manhattan at dinner. His death came exactly a week and an hour after my mother's. He died of a broken heart. My husband cried with all his body after we left the cemetery, weeping, "Poor Buck. Poor Buck." I never saw him cry before.
Now, 18 years later, I sit here with my husband, 59 years old, as he suffers from the same hideous disease.
He is talking to someone I can't see, even laughing with him. He holds a Ph.D. in literature, taught college, had a single handicap golf game, and ate well. We never saw this coming. One day he went to type and jumbled letters came on the screen. He would show up late or early for his classes, wondering what was wrong with the students. He started running red lights. He was graciously counseled to retire, and he did, at 55. His doctor told him it was depression. The second opinion agreed. He was told to do nothing for a year, and he did. He played golf a bit, then one day he couldn't speak or think clearly. I came home from work to find him roaming the neighborhood, eyes ablaze, muttering to himself. I went on family leave. Many tests later we got the working diagnosis, but it meant nothing to him. He never reacted to the words Primary Progressive Aphasia or dementia. I was glad. If he was lucid, I knew what he would talk about doing. He told me after my dad's death that he did not want that life for himself.
I worry I may get it, too. It almost seems inescapable. Dementia has no cure, and the treatments for the symptoms are hit and miss. I thought about getting the full flight of predictive tests, but I know myself, and I scare myself into bracing for the worst. Others scare me, too, when I read their online statements about ending their lives if they learn they have it: I told my children to take me to a state where assisted suicide is legal; it's easy to overdose; I don't want to be a burden on my children. These are caregivers on social media forums. They live with the terror, eyes wide open. We have no children, but who would I burden? My sisters? My brother? Do I stay or do I go? This disease invites pandemonium. Assisted murder-suicides with caregiver spouses of those with dementia don't merit headlines, but their stories are on the sidebars. No thanks. I work on God's timeline.
There are no survivors – yet.
A diagnosis today would paralyze me and create melancholy for all who know me. I would second guess everything, I would read everything, I would cry, I would hardly live. I would be tempted to pick up that first drink after 20 plus years sober. I would even think about ending my life. It would be difficult not to consider. As a high school English teacher, I talk about suicide when I teach Hamlet. I tell the students suicide is a permanent solution to a temporary problem. Dementia isn't temporary. There are no survivors – yet.
I often think what my relatives would have done with an advance diagnosis. My grandmother was a classic worrier. She would have been beyond distraught. My father might have found that gun. My husband would have taken the right number of pills.
An advance diagnosis would paralyze me.
I appreciate the arguments for early diagnosis. Some people are made of sterner stuff. They have the mindset I lack. I admire so many who are contributing to the current conversation about dementia and are active advocates for a cure. They have found a purpose in their fate.
I don't need a test to get my ducks in a row. Loving those with dementia has prompted me to be prepared. I have a different type of bucket list: reset my priorities, slow down, be present, educate others, and make my legal plans. If and when it happens, there will be time for toast and tea and a walk along the shore. There will be time to plan for the inevitable and unenviable end. I am morbid enough to know I will recognize the purple elephant in the room. I don't want the shock and awe now. I can wait. My sisters agree. We will keep our elbows out.
Editor's Note: Consider the other side of the argument here.
Autonomous, indoor farming gives a boost to crops
The glass-encased cabinet looks like a display meant to hold reasonably priced watches, or drugstore beauty creams shipped from France. But instead of this stagnant merchandise, each of its five shelves is overgrown with leaves — moss-soft pea sprouts, spikes of Lolla rosa lettuces, pale bok choy, dark kale, purple basil or red-veined sorrel or green wisps of dill. The glass structure isn’t a cabinet, but rather a “micro farm.”
The gadget is on display at the Richmond, Virginia headquarters of Babylon Micro-Farms, a company that aims to make indoor farming in the U.S. more accessible and sustainable. Babylon’s soilless hydroponic growing system, which feeds plants via nutrient-enriched water, allows chefs on cruise ships, cafeterias and elsewhere to provide home-grown produce to patrons, just seconds after it’s harvested. Currently, there are over 200 functioning systems, either sold or leased to customers, and more of them are on the way.
The chef-farmers choose from among 45 types of herb and leafy-greens seeds, plop them into grow trays, and a few weeks later they pick and serve. While success is predicated on at least a small amount of these humans’ care, the systems are autonomously surveilled round-the-clock from Babylon’s base of operations. And artificial intelligence is helping to run the show.
Babylon piloted the use of specialized cameras that take pictures in different spectrums to gather some less-obvious visual data about plants’ wellbeing and alert people if something seems off.
Imagine consistently perfect greens and tomatoes and strawberries, grown hyper-locally, using less water, without chemicals or environmental contaminants. This is the hefty promise of controlled environment agriculture (CEA) — basically, indoor farms that can be hydroponic, aeroponic (plant roots are suspended and fed through misting), or aquaponic (where fish play a role in fertilizing vegetables). But whether they grow 4,160 leafy-green servings per year, like one Babylon farm, or millions of servings, like some of the large, centralized facilities starting to supply supermarkets across the U.S., they seek to minimize failure as much as possible.
Babylon’s soilless hydroponic growing system
Courtesy Babylon Micro-Farms
Here, AI is starting to play a pivotal role. CEA growers use it to help “make sense of what’s happening” to the plants in their care, says Scott Lowman, vice president of applied research at the Institute for Advanced Learning and Research (IALR) in Virginia, a state that’s investing heavily in CEA companies. And although these companies say they’re not aiming for a future with zero human employees, AI is certainly poised to take a lot of human farming intervention out of the equation — for better and worse.
Most of these companies are compiling their own data sets to identify anything that might block the success of their systems. Babylon had already integrated sensor data into its farms to measure heat and humidity, the nutrient content of water, and the amount of light plants receive. Last year, they got a National Science Foundation grant that allowed them to pilot the use of specialized cameras that take pictures in different spectrums to gather some less-obvious visual data about plants’ wellbeing and alert people if something seems off. “Will this plant be healthy tomorrow? Are there things…that the human eye can't see that the plant starts expressing?” says Amandeep Ratte, the company’s head of data science. “If our system can say, Hey, this plant is unhealthy, we can reach out to [users] preemptively about what they’re doing wrong, or is there a disease at the farm?” Ratte says. The earlier the better, to avoid crop failures.
Natural light accounts for 70 percent of Greenswell Growers’ energy use on a sunny day.
Courtesy Greenswell Growers
IALR’s Lowman says that other CEA companies are developing their AI systems to account for the different crops they grow — lettuces come in all shapes and sizes, after all, and each has different growing needs than, for example, tomatoes. The ways they run their operations differs also. Babylon is unusual in its decentralized structure. But centralized growing systems with one main location have variabilities, too. AeroFarms, which recently declared bankruptcy but will continue to run its 140,000-square foot vertical operation in Danville, Virginia, is entirely enclosed and reliant on the intense violet glow of grow lights to produce microgreens.
Different companies have different data needs. What data is essential to AeroFarms isn’t quite the same as for Greenswell Growers located in Goochland County, Virginia. Raising four kinds of lettuce in a 77,000-square-foot automated hydroponic greenhouse, the vagaries of naturally available light, which accounts for 70 percent of Greenswell’s energy use on a sunny day, affect operations. Their tech needs to account for “outside weather impacts,” says president Carl Gupton. “What adjustments do we have to make inside of the greenhouse to offset what's going on outside environmentally, to give that plant optimal conditions? When it's 85 percent humidity outside, the system needs to do X, Y and Z to get the conditions that we want inside.”
AI will help identify diseases, as well as when a plant is thirsty or overly hydrated, when it needs more or less calcium, phosphorous, nitrogen.
Nevertheless, every CEA system has the same core needs — consistent yield of high quality crops to keep up year-round supply to customers. Additionally, “Everybody’s got the same set of problems,” Gupton says. Pests may come into a facility with seeds. A disease called pythium, one of the most common in CEA, can damage plant roots. “Then you have root disease pressures that can also come internally — a change in [growing] substrate can change the way the plant performs,” Gupton says.
AI will help identify diseases, as well as when a plant is thirsty or overly hydrated, when it needs more or less calcium, phosphorous, nitrogen. So, while companies amass their own hyper-specific data sets, Lowman foresees a time within the next decade “when there will be some type of [open-source] database that has the most common types of plant stress identified” that growers will be able to tap into. Such databases will “create a community and move the science forward,” says Lowman.
In fact, IALR is working on assembling images for just such a database now. On so-called “smart tables” inside an Institute lab, a team is growing greens and subjects them to various stressors. Then, they’re administering treatments while taking images of every plant every 15 minutes, says Lowman. Some experiments generate 80,000 images; the challenge lies in analyzing and annotating the vast trove of them, marking each one to reflect outcome—for example increasing the phosphate delivery and the plant’s response to it. Eventually, they’ll be fed into AI systems to help them learn.
For all the enthusiasm surrounding this technology, it’s not without downsides. Training just one AI system can emit over 250,000 pounds of carbon dioxide, according to MIT Technology Review. AI could also be used “to enhance environmental benefit for CEA and optimize [its] energy consumption,” says Rozita Dara, a computer science professor at the University of Guelph in Canada, specializing in AI and data governance, “but we first need to collect data to measure [it].”
The chef-farmers can choose from 45 types of herb and leafy-greens seeds.
Courtesy Babylon Micro-Farms
Any system connected to the Internet of Things is also vulnerable to hacking; if CEA grows to the point where “there are many of these similar farms, and you're depending on feeding a population based on those, it would be quite scary,” Dara says. And there are privacy concerns, too, in systems where imaging is happening constantly. It’s partly for this reason, says Babylon’s Ratte, that the company’s in-farm cameras all “face down into the trays, so the only thing [visible] is pictures of plants.”
Tweaks to improve AI for CEA are happening all the time. Greenswell made its first harvest in 2022 and now has annual data points they can use to start making more intelligent choices about how to feed, water, and supply light to plants, says Gupton. Ratte says he’s confident Babylon’s system can already “get our customers reliable harvests. But in terms of how far we have to go, it's a different problem,” he says. For example, if AI could detect whether the farm is mostly empty—meaning the farm’s user hasn’t planted a new crop of greens—it can alert Babylon to check “what's going on with engagement with this user?” Ratte says. “Do they need more training? Did the main person responsible for the farm quit?”
Lowman says more automation is coming, offering greater ability for systems to identify problems and mitigate them on the spot. “We still have to develop datasets that are specific, so you can have a very clear control plan, [because] artificial intelligence is only as smart as what we tell it, and in plant science, there's so much variation,” he says. He believes AI’s next level will be “looking at those first early days of plant growth: when the seed germinates, how fast it germinates, what it looks like when it germinates.” Imaging all that and pairing it with AI, “can be a really powerful tool, for sure.”
Scientists make progress with growing organs for transplants
Story by Big Think
For over a century, scientists have dreamed of growing human organs sans humans. This technology could put an end to the scarcity of organs for transplants. But that’s just the tip of the iceberg. The capability to grow fully functional organs would revolutionize research. For example, scientists could observe mysterious biological processes, such as how human cells and organs develop a disease and respond (or fail to respond) to medication without involving human subjects.
Recently, a team of researchers from the University of Cambridge has laid the foundations not just for growing functional organs but functional synthetic embryos capable of developing a beating heart, gut, and brain. Their report was published in Nature.
The organoid revolution
In 1981, scientists discovered how to keep stem cells alive. This was a significant breakthrough, as stem cells have notoriously rigorous demands. Nevertheless, stem cells remained a relatively niche research area, mainly because scientists didn’t know how to convince the cells to turn into other cells.
Then, in 1987, scientists embedded isolated stem cells in a gelatinous protein mixture called Matrigel, which simulated the three-dimensional environment of animal tissue. The cells thrived, but they also did something remarkable: they created breast tissue capable of producing milk proteins. This was the first organoid — a clump of cells that behave and function like a real organ. The organoid revolution had begun, and it all started with a boob in Jello.
For the next 20 years, it was rare to find a scientist who identified as an “organoid researcher,” but there were many “stem cell researchers” who wanted to figure out how to turn stem cells into other cells. Eventually, they discovered the signals (called growth factors) that stem cells require to differentiate into other types of cells.
For a human embryo (and its organs) to develop successfully, there needs to be a “dialogue” between these three types of stem cells.
By the end of the 2000s, researchers began combining stem cells, Matrigel, and the newly characterized growth factors to create dozens of organoids, from liver organoids capable of producing the bile salts necessary for digesting fat to brain organoids with components that resemble eyes, the spinal cord, and arguably, the beginnings of sentience.
Synthetic embryos
Organoids possess an intrinsic flaw: they are organ-like. They share some characteristics with real organs, making them powerful tools for research. However, no one has found a way to create an organoid with all the characteristics and functions of a real organ. But Magdalena Żernicka-Goetz, a developmental biologist, might have set the foundation for that discovery.
Żernicka-Goetz hypothesized that organoids fail to develop into fully functional organs because organs develop as a collective. Organoid research often uses embryonic stem cells, which are the cells from which the developing organism is created. However, there are two other types of stem cells in an early embryo: stem cells that become the placenta and those that become the yolk sac (where the embryo grows and gets its nutrients in early development). For a human embryo (and its organs) to develop successfully, there needs to be a “dialogue” between these three types of stem cells. In other words, Żernicka-Goetz suspected the best way to grow a functional organoid was to produce a synthetic embryoid.
As described in the aforementioned Nature paper, Żernicka-Goetz and her team mimicked the embryonic environment by mixing these three types of stem cells from mice. Amazingly, the stem cells self-organized into structures and progressed through the successive developmental stages until they had beating hearts and the foundations of the brain.
“Our mouse embryo model not only develops a brain, but also a beating heart [and] all the components that go on to make up the body,” said Żernicka-Goetz. “It’s just unbelievable that we’ve got this far. This has been the dream of our community for years and major focus of our work for a decade and finally we’ve done it.”
If the methods developed by Żernicka-Goetz’s team are successful with human stem cells, scientists someday could use them to guide the development of synthetic organs for patients awaiting transplants. It also opens the door to studying how embryos develop during pregnancy.