Couples Facing Fertility Treatments Should Beware of This
When Jane Stein and her husband used in-vitro fertilization in 2001 to become pregnant with twins, her fertility clinic recommended using a supplemental procedure called intracytoplasmic sperm injection (ICSI), known in fertility lingo as "ix-see."
'Add-on' fertility procedures are increasingly coming under scrutiny for having a high cost and low efficacy rate.
During IVF, an egg and sperm are placed in a petri dish together with the hope that a sperm will seek out and fertilize the egg. With ICSI, doctors inject sperm directly into the egg.
Stein, whose name has been changed to protect her privacy, agreed to try it. Her twins are now 16, but while 17 years have gone by since that procedure, the efficacy of ICSI is still unclear. In other words, while Stein succeeded in having children, it may not have been because of ICSI. It may simply have been because she did IVF.
The American Society for Reproductive Medicine has concluded, "There are no data to support the routine use of ICSI for non-male factor infertility." That is, ICSI can help couples have a baby when the issue is male infertility. But when it's not, the evidence of its effectiveness is lacking. And yet the procedure is being used more and more, even when male infertility is not the issue. Some 40 percent of fertility treatments in Europe, Asia and the Middle East now use ICSI, according to a world report released in 2016 by the International Committee for Monitoring Assisted Reproductive Technologies. In the Middle East, the figure is actually 100 percent, the report said.
ICSI is just one of many supplemental procedures, or 'add-ons,' increasingly coming under scrutiny for having a high cost and low efficacy rate. They cost anywhere from a couple of hundred dollars to several thousand – ICSI costs $2,000 to $3,000 -- hiking up the price of what is already a very costly endeavor. And many don't even work. Worse, some actually cause harm.
It's no surprise couples use them. They promise to increase the chance of conceiving. For patients who desperately want a child, money is no object. The Human Fertilization and Embryology Authority (HFEA) in the U.K. found that some 74 percent of patients who received fertility treatments over the last two years were given at least one type of add-on. Now, fertility associations in the U.S. and abroad have begun issuing guidance about which add-ons are worth the extra cost and which are not.
"Many IVF add-ons have little in the way of conclusive evidence supporting their role in successful IVF treatment," said Professor Geeta Nargund, medical director of CREATE Fertility and Lead Consultant for reproductive medicine at St George's Hospital, London.
The HFEA has actually rated these add-ons, indicating which procedures are effective and safe. Some treatments were rated 'red' because they were considered to have insufficient evidence to justify their use. These include assisted hatching, which uses acid or lasers to make a hole in the surrounding layer of proteins to help the embryo hatch; intrauterine culture, where a device is inserted into the womb to collect and incubate the embryo; and reproductive immunology, which suppresses the body's natural immunity so that it accepts the embryo.
"Fertility care is a highly competitive market. In a private system, offering add-ons may discern you from your neighboring clinic."
For some treatments, the HFEA found there is evidence that they don't just fail to work, but can even be harmful. These procedures include ICSI used when male infertility is not at issue, as well as a procedure called endometrial scratching, where the uterus is scratched, not unlike what would happen with a biopsy, to stimulate the local uterine immune system.
And then for some treatments, there is conflicting evidence, warranting further research. These include artificial egg activation by calcium ionophore, elective freezing in all cycles, embryo glue, time-lapse imaging and pre-implantation genetic testing for abnormal chromosomes on day 5.
"Currently, there is very little evidence to suggest that many of the add-ons could increase success rates," Nargund said. "Indeed, the HFEA's assessment of add-on treatments concluded that none of the add-ons could be given a 'green' rating, due to a lack of conclusive supporting research."
So why do fertility clinics offer them?
"Fertility care is a highly competitive market," said Professor Hans Evers, editor-in-chief of the journal Human Reproduction. "In a private system, offering add-ons may discern you from your neighboring clinic. The more competition, the more add-ons. Hopefully the more reputable institutions will only offer add-ons (for free) in the context of a randomized clinical trial."
The only way for infertile couples to know which work and which don't is the guidance released by professional organizations like the ASRM, and through government regulation in countries that have a public health care system.
The problem is, infertile couples will sometimes do anything to achieve a pregnancy.
"They will stand on their heads if this is advocated as helpful. Someone has to protect them," Evers said.
In the Netherlands, where Evers is based, the national health care system tries to make the best use of the limited resources it has, so it makes sure the procedures it's funding actually work, Evers said.
"We have calculated that to serve a population of 17 million, we need 13 IVF clinics, and we have 13," he said. "We as professionals discuss and try to agree on the value of newly proposed add-ons, and we will implement only those that are proven effective and safe."
Likewise, in the U.K., there's been a lot of squawking about speculative add-ons because the government, or National Health Service, pays for them. In the U.S., it's private insurers or patients' own cash.
"The [U.K.] government takes a very close look at what therapies they are offering and what the evidence is around offering the therapy," said Alan Penzias, who chairs the Practice Committee of the ASRM. It wants to make sure the treatments it is funding are at least worth the money.
ICSI is a case in point. Originally intended for male infertility, it's now being applied across the board because fertility clinics didn't want couples to pay $10,000 to $15,000 and wind up with no embryos.
"It is so disastrous to have no fertilization whatsoever, clinics started to make this bargain with their patients, saying, 'Well, listen, even though it's not indicated, what we would like to do is to take half of your eggs and do the ICSI procedure, and half we'll do conventional insemination just to make sure,'" he said. "It's a disaster if you have no embryos, and now you're out 10 to 12 thousand dollars, so for a small added fee, we can do the injection just to guard against that."
In the Netherlands, the national health care system tries to make the best use of its limited resources, so it makes sure the procedures it's funding actually work.
Clinics offer it where they see lower rates of fertilization, such as with older women or in cases where induced ovulation results in just two or three eggs instead of, say, 13. Unfortunately, ICSI may result in a higher fertilization rate, but it doesn't result in a higher live birth rate, according to a study last year in Human Reproduction, so couples wind up paying for a procedure that doesn't even result in a child.
Private insurers in the U.S. are keen to it. Penzia, who is also an associate professor of obstetrics, gynecology and reproductive biology at Harvard Medical School and works as a reproductive endocrinology and infertility specialist at Boston IVF, said Massachusetts requires that insurers cover infertility treatments. But when he submits claims for ICSI, for instance, insurers now want to see two sperm counts and proof that the man has seen a urologist.
"They want to make sure we're doing it for male factor (infertility)," he said. "That's not unreasonable, because the insurance company is taking the burden of this."
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.