How Research in Space Helps Doctors Treat People on Earth
Removing gravity allows researchers to do experiments they could never duplicate on the ground
Removing gravity allows researchers to do experiments they could never duplicate on the ground
Medical research in space is leading to advances that could help patients on Earth.
Several technologies developed for space exploration have afterward contributed to medical products. Infrared thermometers, for example, stem from infrared sensors created to remotely measure the temperature of distant stars and planets.
But increasingly, scientists aim to perform research in space specifically for human health. Interest in conducting medical research in space has grown as researchers recognise possibilities enabled by microgravity, in which objects appear to be weightless, aboard the International Space Station, or ISS, which orbits the Earth about 250 miles from its surface.
Removing gravity’s influence alters biological systems, enabling experiments that can’t be done on the ground. Researchers are sending materials into space to study treatments for cancer, heart disease, neurological disorders, blindness and other conditions.
Such investigations extend beyond civilian medicine. With preparations under way for long-term missions to the moon, and eventually to Mars, scientists are advancing technologies to help astronauts endure extended space travel and confront illnesses and medical emergencies.
Several factors complicate space-based research. The cost of transporting materials, for one, as well as preparations needed to convert experiments conducted on Earth into ones that can be run on the ISS, which is itself a complicated partnership of five space agencies from 15 countries. The station has been occupied continuously since November 2000.
Space studies’ potential to discover cures and create tools that make healthcare more accessible justify the expense and complexity, some scientists say.
“Everything we do onboard has potential applications for healthcare on Earth,” says Dr. Dave Williams, who conducted neuroscience research on space shuttle Columbia, and is now chief executive of Leap Biosystems, a developer of medical devices for virtual clinical care in space and on Earth.
Space travel itself, for example, is known to cause bone and muscle loss, immune suppression, central nervous system changes and other effects. Detrimental as these effects are, they are of particular interest to scientists.
For the most part, health concerns astronauts develop in space resolve when they return, says Dr. Christopher Austin, former director of the National Center for Advancing Translational Sciences and now CEO of biotechnology startup Vesalius Therapeutics. Studying how this reversal occurs could provide insight on turning back the clock on disorders of aging on Earth, he adds.
Exposure to microgravity seems to replicate the effects of ageing at the cellular level, says Michael Roberts, chief scientific officer of the U.S. National Laboratory on the ISS. As a result, investigators in months can glean insights from studies that might require years of research on Earth.
“What happens in space is akin to accelerated ageing,” says Arun Sharma, assistant professor at the Board of Governors Regenerative Medicine Institute at Cedars-Sinai Medical Center, who says his experience with space research includes sending stem-cell-derived heart cells to the ISS. “We can study these aging processes in a faster way in microgravity.”
Meantime, companies including drugmaker Merck and biotechnology concerns Axonis Therapeutics and LambdaVision aim to capitalize on microgravity to improve existing treatments or optimise experimental ones.
Merck has been conducting experiments aboard the ISS to determine whether it can come up with a crystalline form of an anticancer drug in its portfolio, Keytruda. The drug, which treats several cancers, generated $20.9 billion in sales in 2022. Patients receive it in 30-minute intravenous infusions. Its active ingredient, pembrolizumab, a large molecule known as a monoclonal antibody, isn’t highly soluble, so developing a high-concentration liquid formulation that can be given through a simple injection is difficult, says Paul Reichert, a Merck Research Laboratories scientist.
One solution is to produce it in crystallised form, a routine process for small-molecule drugs taken as pills. But making an optimal crystalline suspension is challenging for large-molecule, antibody drugs, Reichert says.
So Merck decided to attempt it in space. In 2017 it sent pembrolizumab to the ISS to see whether crystals would form better in space. Without gravity, molecules move more slowly and forces including convection currents are limited. Crystals produced on the ISS were smaller and more uniform than Earth counterparts, Reichert says.
On the ground, Merck identified techniques to mimic these effects and enable high-quality crystals. Now it is conducting long-term stability research to enable a Keytruda formulation that is injectable and, unlike today’s version, stable at room temperature. That would make it more accessible in areas with limited refrigeration.
Such studies will take years, but could lead to a lower-cost version of Keytruda that is easier to administer and cheaper to transport, Reichert says.
“That would be a game-changer for biologics drug delivery,” he adds.
Sometimes space research yields surprising results.
Biotech startup Angiex sought to better understand how an experimental cancer drug interacted with normal cells lining blood vessels, known as endothelial cells, says Paul Jaminet, co-founder, president and chief operating officer. The problem was these cells, when cultured on Earth, typically die quickly unless they are cultured with growth factors and changed to a proliferative state similar to that of endothelial cells in tumours. As a result, there is no good cell-culture model for the normal endothelial cells in which Angiex’s drugs are expected to have their toxicity, he says.
Angiex’s team hypothesised that culturing them in microgravity would be a solution, sending endothelial cells to the ISS in 2018. The cells did grow in space, but as they adapted to microgravity, they took on unusual characteristics that may not have a counterpart on Earth, Jaminet says.
The findings may advance understanding of how microgravity affects astronauts, he says. “In science, unexpected results are very precious,” he adds.
But since it appears the cells cultured in microgravity don’t resemble normal endothelial cells, and acquired a novel pathological state not previously seen, it isn’t yet clear if these cells are useful for drug-development purposes. Further work, he says, will be needed to understand this novel state and see if it is useful for understanding diseases on Earth.
“When you put cells into a completely new system, you’re going to get intended results and unintended results,” says Dr. Serena Auñón-Chancellor, an astronaut who worked on the Angiex research on the ISS, and a clinical associate professor of medicine for the LSU Health Sciences Center in Baton Rouge.
Axonis in August had good luck with a project to coax two kinds of human brain cells, neurons and astrocytes, to unite into a three-dimensional model of the brain in microgravity. It used the model to test a gene therapy designed to restore neural connections damaged by neurodegenerative diseases or spinal-cord injury.
The experiment provided evidence that Axonis’s gene therapy travels to its intended target, neurons, and avoids astrocytes, says co-founder and Chief Scientific Officer Shane Hegarty. In labs on Earth, neurons and astrocytes would form a carpet-like, two-dimensional layer. This doesn’t fully represent the brain’s complexity and is less useful for advancing the gene therapy, Hegarty adds.
The implications of this research are that scientists could use patients’ own cells to create models of their disease in space to speed their search for treatments, he says.
“For any drug-development effort, you need a good model first,” Hegarty says.
One long-term research program on the ISS is LambdaVision’s effort to restore vision to people blinded by diseases of the retina, the light-sensitive tissue at the back of the eye.
LambdaVision has flown eight payloads to the ISS since 2016, says Chief Scientific Officer Jordan Greco, adding that the company has found that its artificial retina seems to come together better in microgravity.
Microgravity enables more ordered and even packing of protein molecules onto the scaffold, CEO Nicole Wagner says. If its artificial retina, expected to enter clinical trials in about three years, earns regulatory approval, LambdaVision will manufacture it on the ISS or a commercial space station, she says.
Considering the demand for vision-restoration therapy, reimbursement from insurers should be sufficient to justify this expense, Wagner says. “With artificial retinas, there’s a clear unmet need,” she says.
To convert its lab process into one viable for the ISS, LambdaVision teamed with space-biotech company Space Tango to condense the process into a device that looks like a metal shoebox. The automated system contains proteins, polymers and solutions to assemble the artificial retina layers, and cameras that let researchers monitor and control the process from the ground, Wagner says.
Also using Space Tango is Encapsulate, a biotech with grant funding to launch into space biochips containing micro tumours made from patient cancer cells. The chips could predict an individual’s response to drugs, helping oncologists tailor treatment, Encapsulate co-founder and CEO Armin Rad says.
When adapting scientists’ projects for space “we have to take the human out of it and stuff it all into a box,” Space Tango Chief Strategy Officer Alain Berinstain says. Biotechs also express interest in the automated system for ground use, which was unexpected, he says. “It’s turned into a new business opportunity for us,” he adds.
The National Aeronautics and Space Administration plans a crewed mission to the lunar surface in 2025 and eventually a mission to Mars. Astronauts will require medications for the trip, and they can’t pack every drug they might need, says Phil Williams, a professor of biophysics in the School of Pharmacy at the University of Nottingham.
Medications degrade faster in space because of high radiation levels, says Williams, who is working with NASA researcher Lynn Rothschild on an astropharmacy, a briefcase-like system enabling astronauts to produce medications on demand.
In one version under study, cellular machinery that certain microbes use to make proteins would be combined with genetic sequences that code for specific biological medicines, Williams says. This could be paired with a production system to express the therapeutic protein and DNA-synthesis technology, he adds.
The notion of an astropharmacy extends to other extreme environments. If the technology proves effective in space it could also be used in hard-to-reach locations on Earth, he says.
“If we can make the drug for the astronaut, then we can make it for anybody,” Williams says.
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Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
A sharp technology sell-off has exposed a new anxiety on global markets: whether the enormous borrowing behind the artificial-intelligence infrastructure boom can generate sufficient returns as interest rates rise and Chinese competition intensifies.
The artificial-intelligence investment boom has powered technology shares, semiconductor manufacturers and data-centre operators to extraordinary heights. Last week, investors were given a reminder that much of this expansion is being built with borrowed money.
The technology-heavy Nasdaq Composite fell 4.5 per cent over the week ended October 16, its weakest performance since late June. Semiconductor shares suffered an even deeper correction, with the Philadelphia Semiconductor Index losing about 11.4 per cent.
The selling spread quickly through global markets. Micron Technology fell 14.6 per cent over the week, while South Korea’s Samsung Electronics and SK Hynix dropped approximately 18 per cent and 24 per cent respectively.
This was more than a routine bout of profit-taking. Investors were reassessing three interconnected risks: higher interest rates, the rapidly expanding debt burden attached to AI infrastructure and the prospect of stronger competition from Chinese memory-chip manufacturers.
Artificial intelligence requires a physical infrastructure network of enormous scale. Data centres must be built, advanced processors purchased, power supplies secured and cooling systems installed before customers begin generating meaningful revenue from them.
Technology companies are increasingly supplementing their own cash with corporate bonds, syndicated loans, equipment leases, private credit and project-level financing.
JPMorgan describes the emerging funding model as a combination of conventional corporate borrowing and project finance tied to individual data-centre assets. In Australia, the Reserve Bank estimates that syndicated loans accounted for approximately three-quarters of data-centre financing during 2025 and 2026 to date.
The numbers are becoming large enough to affect broader credit markets. The Federal Reserve Bank of Dallas has cited Wall Street estimates suggesting AI-related investment-grade bond issuance could approach US$300 billion in 2026 alone.
That borrowing is not automatically problematic. Debt can be an efficient way to finance long-lived infrastructure when future revenue is sufficiently predictable. The concern is that AI technology, customer demand and computing economics are changing much faster than the repayment schedules attached to the assets.
A data centre financed today may carry debt for years. Investors must therefore make assumptions about future utilisation rates, electricity prices, chip performance, customer concentration and the amount businesses will ultimately pay for AI computing.
When interest rates rise, those assumptions become less forgiving.
September’s US inflation data intensified the pressure. Consumer prices increased 3.7 per cent over the year, ahead of market expectations and up from 3.4 per cent in August.
The hotter reading reduced confidence that interest rates would fall quickly and pushed bond yields higher. That matters particularly for companies whose valuations depend on profits expected well into the future, as well as highly leveraged infrastructure operators that may need to refinance.
CoreWeave has emerged as a closely watched test case. The specialist cloud-computing company has accumulated substantial debt and lease obligations to build AI capacity, while relying on a concentrated group of large technology customers.
Its shares fell sharply during the sell-off, while the cost of insuring its debt against default climbed. CoreWeave has argued that its contracted backlog more than covers its obligations and that financial markets do not always understand its business model. Nevertheless, its securities have become a proxy for investor confidence in debt-funded AI infrastructure.
Oracle, another major investor in AI computing capacity, fell 8.8 per cent in Friday trading, while CoreWeave dropped 15.5 per cent.
The question is shifting from how much AI infrastructure can be built to how profitably it can be operated.
Interest rates were not the only catalyst. Reports of advances by Chinese memory-chip producer ChangXin Memory Technologies raised concerns that lower-cost Chinese products could increase competition across the global semiconductor industry.
Memory chips are essential to AI systems, but the industry is historically cyclical. Periods of tight supply and high pricing can encourage rapid investment, eventually producing oversupply and falling margins.
The prospect of a well-funded Chinese competitor expanding its technological capabilities unsettled investors in Samsung, SK Hynix and Micron. It also demonstrated that AI-related demand does not insulate chipmakers from conventional competitive pressures.
That combination—slower rate cuts, more expensive financing and potentially cheaper supply—challenged the assumption that every company exposed to AI would enjoy continually expanding margins.
The sell-off does not establish that the AI boom is ending. Demand for computing power remains strong, the largest technology companies continue to generate formidable cash flows and many infrastructure projects are backed by long-term customer contracts.
What has changed is the market’s willingness to overlook the price and financing structure of that growth.
The most resilient companies are likely to be those able to fund investment from operating cash flow, secure long-duration customers and demonstrate that new capacity will earn returns comfortably above its financing costs.
More speculative operators may face greater scrutiny, particularly where debt is expensive, customers are concentrated or expected revenue depends on demand that has not yet materialised.
For Australian investors, the lesson extends beyond US technology shares. Local data-centre operators, infrastructure funds, electricity suppliers and property groups are increasingly exposed to the same investment cycle.
Artificial intelligence may remain one of the defining growth themes of the decade. But last week’s correction showed that enthusiasm for the technology does not eliminate financial discipline.
The next stage of the AI boom will be judged not only by computing power, model performance or demand for chips, but by something more traditional: whether the assets being financed can generate enough cash to repay the money borrowed to build them.
Nasdaq Composite: Down 4.5 per cent for the week ended October 16, 2026
Philadelphia Semiconductor Index: Down approximately 11.4 per cent
Micron Technology: Down approximately 14.6 per cent
Samsung Electronics: Down approximately 18 per cent
SK Hynix: Down approximately 24 per cent
US September inflation: 3.7 per cent annually
Estimated 2026 AI-related investment-grade issuance: Approximately US$300 billion
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