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By NASA
A host of scientific investigations await the crew of NASA’s SpaceX Crew-11 mission during their long-duration expedition aboard the International Space Station. NASA astronauts Zena Cardman and Mike Fincke, and JAXA (Japan Aerospace Exploration Agency) astronaut Kimiya Yui, are set to study plant cell division and microgravity’s effects on bacteria-killing viruses, as well as perform experiments to produce a higher volume of human stem cells and generate on-demand nutrients.
Here are details on some of the research scheduled during the Crew-11 mission:
Making more stem cells
Cultures of stem cells grown in 2D on Earth, left, and as 3D spheres in simulated microgravity on Earth.BioServe A stem cell investigation called StemCellEx-IP1 evaluates using microgravity to produce large numbers of induced pluripotent stem cells. Made by reprogramming skin or blood cells, these stem cells can transform into any type of cell in the body and are used in regenerative medicine therapies for many diseases. However, producing enough cells on the ground is a challenge.
Researchers plan to use the microgravity environment aboard the space station to demonstrate whether generating 1,000 times more cells is possible and whether these cells are of higher quality and better for clinical use than those made on Earth. If proven, this could significantly improve future patient outcomes.
“This type of stem cell research is a chance to find treatments and maybe even cures for diseases that currently have none,” said Tobias Niederwieser of BioServe Space Technologies, which developed the investigation. “This represents an incredible potential to make life here on Earth better for all of us. We can take skin or blood cells from a patient, convert them into stem cells, and produce custom cell-therapy with little risk for rejection, as they are the person’s own cells.”
Alternative to antibiotics
Genes in Space-12 student investigators Isabella Chuang, left, and Julia Gross, middle, with mentor Kayleigh Ingersoll Omdahl.Genes in Space Genes in Space is a series of competitions in which students in grades 7 through 12 design DNA experiments that are flown to the space station. Genes in Space-12 examines the effects of microgravity on interactions between certain bacteria and bacteriophages, which are viruses that infect and kill bacteria. Bacteriophages already are used to treat bacterial infections on Earth.
“Boeing and miniPCR bio co-founded this competition to bring real-world scientific experiences to the classroom and promote molecular biology investigations on the space station,” said Scott Copeland of Boeing, and co-founder of Genes in Space. “This
investigation could establish a foundation for using these viruses to treat bacterial infections in space, potentially decreasing the dependence on antibiotics.”
“Previous studies indicate that bacteria may display increased growth rates and virulence in space, while the antibiotics used to combat them may be less effective,” said Dr. Ally Huang, staff scientist at miniPCR bio. “Phages produced in space could have profound implications for human health, microbial control, and the sustainability of long-duration remote missions. Phage therapy tools also could revolutionize how we manage bacterial infections and microbial ecosystems on Earth.”
Edible organisms
A purple, pre-incubation BioNutrients-3 bag, left, and a pink bag, right, which has completed incubation, on a purple and pink board used for comparison.NASA Some vitamins and nutrients in foods and supplements lose their potency during prolonged storage, and insufficient intake of even a single nutrient can lead to serious diseases, such as a vitamin C deficiency, causing scurvy. The BioNutrients-3 experiment builds on previous investigations looking at ways to produce on-demand nutrients in space using genetically engineered organisms that remain viable for years. These include yogurt and a yeast-based beverage made from yeast strains previously tested aboard station, as well as a new, engineered co-culture that produces multiple nutrients in one sample bag.
“BioNutrients-3 includes multiple food safety features, including pasteurization to kill microorganisms in the sample and a demonstration of the feasibility of using a sensor called E-Nose that simulates an ultra-sensitive nose to detect pathogens,” said Kevin Sims, project manager at NASA’s Ames Research Center in California’s Silicon Valley.
Another food safety feature is a food-grade pH indicator to track bacterial growth.
“These pH indicators help the crew visualize the progress of the yogurt and kefir samples,” Sims said. “As the organisms grow, they generate lactic acid, which lowers the pH and turns the indicator pink.”
The research also features an investigation of yogurt passage, which seeds new cultures using a bit of yogurt from a finished bag, much like maintaining a sourdough bread starter. This method could sustain a culture over multiple generations, eliminating concerns about yogurt’s shelf life during a mission to the Moon or Mars while reducing launch mass.
Understanding cell division
Cells of green algae dividing.University of Toyama The JAXA Plant Cell Division investigation examines how microgravity affects cell division in green algae and a strain of cultured tobacco cells. Cell division is a fundamental element of plant growth, but few studies have examined it in microgravity.
“The tobacco cells divide frequently, making the process easy to observe,” said Junya Kirima of JAXA. “We are excited to reveal the effects of the space environment on plant cell division and look forward to performing time-lapse live imaging of it aboard the space station.”
Understanding this process could support the development of better methods for growing plants for food in space, including on the Moon and Mars. This investigation also could provide insight to help make plant production systems on Earth more efficient.
For nearly 25 years, people have lived and worked continuously aboard the International Space Station, advancing scientific knowledge and conducting critical research for the benefit of humanity and our home planet. Space station research supports the future of human spaceflight as NASA looks toward deep space missions to the Moon under the Artemis campaign and in preparation for future human missions to Mars, as well as expanding commercial opportunities in low Earth orbit and beyond.
Learn more about the International Space Station at:
https://www.nasa.gov/station
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By NASA
The Axiom Mission 4 crew launched on June 25, 2025, aboard a SpaceX Dragon spacecraft to the International Space Station from NASA’s Kennedy Space Center in Florida. From left to right: Tibor Kapu of Hungary, ISRO (Indian Space Research Organization) astronaut Shubhanshu Shukla, former NASA astronaut Peggy Whitson, and ESA (European Space Agency) astronaut Sławosz Uznański-Wiśniewski of Poland (Credit: Axiom Space). The NASA-supported fourth private astronaut mission to the International Space Station, Axiom Mission 4, completed its flight as part of the agency’s efforts to demonstrate demand and build operational knowledge for future commercial space stations.
The four-person crew safely returned to Earth, splashing down off the coast of California at 5:31 a.m. EDT on Tuesday, aboard a SpaceX Dragon spacecraft. Teams aboard SpaceX recovery vessels retrieved the spacecraft and astronauts.
Peggy Whitson, former NASA astronaut and director of human spaceflight at Axiom Space, ISRO (Indian Space Research Organization) astronaut Shubhanshu Shukla, and ESA (European Space Agency) project astronaut Sławosz Uznański-Wiśniewski of Poland, and Hungarian to Orbit (HUNOR) astronaut Tibor Kapu of Hungary, completed about two and a half weeks in space.
The Axiom Mission 4 crew launched at 2:31 a.m. on June 25, on a Falcon 9 rocket from NASA’s Kennedy Space Center in Florida. Approximately 28 hours later, Dragon docked to the space-facing port of the space station’s Harmony module. The astronauts undocked at 7:15 a.m. on July 14, to begin the trip home.
The crew conducted microgravity research, educational outreach, and commercial activities. The spacecraft will return to Florida for inspection and processing at SpaceX’s refurbishing facilities. Throughout their mission, the astronauts conducted about 60 science experiments, and returned science, including NASA cargo, back to Earth.
A collaboration between NASA and ISRO allowed Axiom Mission 4 to deliver on a commitment highlighted by President Trump and Indian Prime Minister Narendra Modi to send the first ISRO astronaut to the station. The space agencies participated in five joint science investigations and two in-orbit science, technology, engineering, and mathematics demonstrations. NASA and ISRO have a long-standing relationship built on a shared vision to advance scientific knowledge and expand space collaboration.
The private mission also carried the first astronauts from Poland and Hungary to stay aboard the space station.
The International Space Station is a springboard for developing a low Earth orbit economy. NASA’s goal is to achieve a strong economy off the Earth where the agency can purchase services as one of many customers to meet its science and research objectives in microgravity. NASA’s commercial strategy for low Earth orbit provides the government with reliable and safe services at a lower cost, enabling the agency to focus on Artemis missions to the Moon in preparation for Mars while also continuing to use low Earth orbit as a training and proving ground for those deep space missions.
Learn more about NASA’s commercial space strategy at:
https://www.nasa.gov/commercial-space
News Media Contacts:
Claire O’Shea
Headquarters, Washington
202-358-1100
claire.a.o’shea@nasa.gov
Anna Schneider
Johnson Space Center, Houston
281-483-5111
anna.c.schneider@nasa.gov
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By Amazing Space
Massive Solar Prominence "The Beast" Threatens Eruption? Space Weather Update July 14 2025 NASA SDO
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By NASA
6 min read
Smarter Searching: NASA AI Makes Science Data Easier to Find
Image snapshot taken from NASA Worldview of NASA’s Global Precipitation Measurement (GPM) mission on March 15, 2025 showing heavy rain across the southeastern U.S. with an overlay of the GCMD Keyword Recommender for Earth Science, Atmosphere, Precipitation, Droplet Size. NASA Worldview Imagine shopping for a new pair of running shoes online. If each seller described them differently—one calling them “sneakers,” another “trainers,” and someone else “footwear for exercise”—you’d quickly feel lost in a sea of mismatched terminology. Fortunately, most online stores use standardized categories and filters, so you can click through a simple path: Women’s > Shoes > Running Shoes—and quickly find what you need.
Now, scale that problem to scientific research. Instead of sneakers, think “aerosol optical depth” or “sea surface temperature.” Instead of a handful of retailers, it is thousands of researchers, instruments, and data providers. Without a common language for describing data, finding relevant Earth science datasets would be like trying to locate a needle in a haystack, blindfolded.
That’s why NASA created the Global Change Master Directory (GCMD), a standardized vocabulary that helps scientists tag their datasets in a consistent and searchable way. But as science evolves, so does the challenge of keeping metadata organized and discoverable.
To meet that challenge, NASA’s Office of Data Science and Informatics (ODSI) at the agency’s Marshall Space Flight Center (MSFC) in Huntsville, Alabama, developed the GCMD Keyword Recommender (GKR): a smart tool designed to help data providers and curators assign the right keywords, automatically.
Smarter Tagging, Accelerated Discovery
The upgraded GKR model isn’t just a technical improvement; it’s a leap forward in how we organize and access scientific knowledge. By automatically recommending precise, standardized keywords, the model reduces the burden on human curators while ensuring metadata quality remains high. This makes it easier for researchers, students, and the public to find exactly the datasets they need.
It also sets the stage for broader applications. The techniques used in GKR, like applying focal loss to rare-label classification problems and adapting pre-trained transformers to specialized domains, can benefit fields well beyond Earth science.
Metadata Matchmaker
The newly upgraded GKR model tackles a massive challenge in information science known as extreme multi-label classification. That’s a mouthful, but the concept is straightforward: Instead of predicting just one label, the model must choose many, sometimes dozens, from a set of thousands. Each dataset may need to be tagged with multiple, nuanced descriptors pulled from a controlled vocabulary.
Think of it like trying to identify all the animals in a photograph. If there’s just a dog, it’s easy. But if there’s a dog, a bird, a raccoon hiding behind a bush, and a unicorn that only shows up in 0.1% of your training photos, the task becomes far more difficult. That’s what GKR is up against: tagging complex datasets with precision, even when examples of some keywords are scarce.
And the problem is only growing. The new version of GKR now considers more than 3,200 keywords, up from about 430 in its earlier iteration. That’s a sevenfold increase in vocabulary complexity, and a major leap in what the model needs to learn and predict.
To handle this scale, the GKR team didn’t just add more data; they built a more capable model from the ground up. At the heart of the upgrade is INDUS, an advanced language model trained on a staggering 66 billion words drawn from scientific literature across disciplines—Earth science, biological sciences, astronomy, and more.
NASA ODSI’s GCMD Keyword Recommender AI model automatically tags scientific datasets with the help of INDUS, a large language model trained on NASA scientific publications across the disciplines of astrophysics, biological and physical sciences, Earth science, heliophysics, and planetary science. NASA “We’re at the frontier of cutting-edge artificial intelligence and machine learning for science,” said Sajil Awale, a member of the NASA ODSI AI team at MSFC. “This problem domain is interesting, and challenging, because it’s an extreme classification problem where the model needs to differentiate even very similar keywords/tags based on small variations of context. It’s exciting to see how we have leveraged INDUS to build this GKR model because it is designed and trained for scientific domains. There are opportunities to improve INDUS for future uses.”
This means that the new GKR isn’t just guessing based on word similarities; it understands the context in which keywords appear. It’s the difference between a model knowing that “precipitation” might relate to weather versus recognizing when it means a climate variable in satellite data.
And while the older model was trained on only 2,000 metadata records, the new version had access to a much richer dataset of more than 43,000 records from NASA’s Common Metadata Repository. That increased exposure helps the model make more accurate predictions.
The Common Metadata Repository is the backend behind the following data search and discovery services:
Earthdata Search International Data Network Learning to Love Rare Words
One of the biggest hurdles in a task like this is class imbalance. Some keywords appear frequently; others might show up just a handful of times. Traditional machine learning approaches, like cross-entropy loss, which was used initially to train the model, tend to favor the easy, common labels, and neglect the rare ones.
To solve this, NASA’s team turned to focal loss, a strategy that reduces the model’s attention to obvious examples and shifts focus toward the harder, underrepresented cases.
The result? A model that performs better across the board, especially on the keywords that matter most to specialists searching for niche datasets.
From Metadata to Mission
Ultimately, science depends not only on collecting data, but on making that data usable and discoverable. The updated GKR tool is a quiet but critical part of that mission. By bringing powerful AI to the task of metadata tagging, it helps ensure that the flood of Earth observation data pouring in from satellites and instruments around the globe doesn’t get lost in translation.
In a world awash with data, tools like GKR help researchers find the signal in the noise and turn information into insight.
Beyond powering GKR, the INDUS large language model is also enabling innovation across other NASA SMD projects. For example, INDUS supports the Science Discovery Engine by helping automate metadata curation and improving the relevancy ranking of search results.The diverse applications reflect INDUS’s growing role as a foundational AI capability for SMD.
The INDUS large language model is funded by the Office of the Chief Science Data Officer within NASA’s Science Mission Directorate at NASA Headquarters in Washington. The Office of the Chief Science Data Officer advances scientific discovery through innovative applications and partnerships in data science, advanced analytics, and artificial intelligence.
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Last Updated Jul 09, 2025 Related Terms
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The U.S. Space Force released its inaugural International Partnership Strategy July 8, outlining a comprehensive vision for deepening collaboration with allies and partners to ensure a secure, stable and sustainable space domain.
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