For students with their sights set on space medicine, a new community takes flight

Since its launch two years ago, MIT’s Doctors Without Gravity club has already amassed more than 100 student members. The club was co-founded by graduate students Anna Wadhwa and Nicole McGaa, who now serve as president and vice president, respectively.

Bringing together students from MIT and Harvard University who are interested in the intersection of medicine, health, and space exploration, Doctors Without Gravity is the student chapter of the Aerospace Medical Association (AsMA) and the Aerospace Medical Student and Resident Organization (AMSRO). The club is open to both undergraduate and graduate students from both institutions.

Students interested in the club do not need to be aero/astro, biology, or pre-med majors, says Wadhwa, noting that the club also has many mechanical engineering students interested in spacecraft mechanics, for example. Wadhwa adds that all majors are welcome to join.

“We want to help increase student awareness and education about aerospace medicine as a potential field that people can study and pursue for a career,” says Wadhwa, who is part of the Aerospace Physiology Lab and pursuing a PhD in aeronautics and astronautics at MIT before returning to Harvard Medical School to complete her medical degree. “We hope to achieve this by connecting the existing communities that are already in place at Harvard, MIT, and Boston by hosting events, lightning talks, and our annual symposium.”

Building a community around space medicine

To bring community members together, Doctors Without Gravity hosts general social events where members can get to know one another and network in a casual setting. They also hold workshops and fireside chats with faculty, researchers, physicians from Massachusetts General Hospital, and residents in training, so students can ask questions, learn more about their research, and ask for career advice. “It’s a great way to get students plugged into the Boston area network of people interested in space medicine,” says Wadhwa.

The club’s director of science communications, Maryam Hiradfar, a graduate student in the Harvard Biophysics Program, says the club’s interdisciplinary membership is one of its greatest strengths.

“Members are a diverse group of students who can all learn from one another. We have members who are not doing active space research or space life research, including myself, but I think just being able to spark that interest in them and hopefully give people direction to get involved in that kind of research if they're interested.”

She adds, “members of the club pursue a wide variety of fields after graduating, including medical consultants, physicians, and research. Some people go into academia and research. There are numerous ways to explore space medicine; it doesn't have to be just as a flight surgeon at NASA. People interested in the field also work at Mission Control to monitor astronauts' health not only while in space, but also on a daily basis, while others do contract work for SpaceX or Axiom Space.”

The club also helps students learn about career opportunities as they arise. Wadhwa notes that if SpaceX, NASA, Axiom Space, Blue Origin, or other groups reach out to the club with job or internship possibilities, the information is quickly passed along to its members.

Faculty advisor and director of the Aerospace Physiology Lab, Associate Professor Lonnie Petersen, adds, “Doctors Without Gravity brings together curious students from many different fields who share an interest in advancing medical care beyond Earth. As faculty advisor, I am proud to support these students, expand their network, and provide opportunities for them.”

Researching the effects of spaceflight on the human body

Hiradfar is conducting research in the Integrated Positron Emission Tomography and MRI lab at the Martinos Center for Biomedical Imaging. Much of her time is spent scanning patients on a total-body positron emission tomography system. She does everything from scanning to adapting and developing conventional analysis pipelines and algorithms to analyze this new type of whole-body scan.

Wadhwa is conducting research in the Aerospace Physiology Lab with Petersen. Her work specifically focuses on how the brain reacts to spaceflight, because astronauts experience fluid shifts while in space and it is crucial to understand how those changes affect brain health. She is studying this both on a cellular and a systems level.

Both Wadhwa and Hiradfar say they would like to take flying lessons one day, but their schedules are too busy at the moment.

Helping colleagues with a study, Wadhwa did have the opportunity to take a ride in a centrifuge, accelerating from 1G to 4G — the equivalent of 88 mph.

“The test was designed to simulate the dynamics of flight maneuvers of a jet, in order to study patient physiology. It would go up for five seconds and then back down and then up and down. At the end, you do feel like you just got off a roller coaster, and I had to stay really still for a few minutes after the centrifuge finished,” she says.

Upcoming events

Doctors Without Gravity is already planning for their 2027 Symposium to be held during Massachusetts Space Week, April 19-25, 2027. Additional details will be announced as they become available.

At last year’s annual symposium, the keynote speaker was MIT Professor Dava Newman, Apollo Program Professor and director of the Human Systems Lab, who brought some samples of flight testing materials for everyone to see and touch. In 2025, the keynote was given by Erik Antonsen, director of the Mass General Brigham Space Medicine Fellowship. 

For students interested in exploring the possibilities of aerospace medicine, Doctors Without Gravity offers a place to learn, make connections, and discover the many paths into the field. Students interested in potentially joining the club may join the group’s mailing list.

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Tod Machover’s new symphony plays with AI while reflecting on democracy

Innovation, reflection, and celebration will blend at the Boston Symphony Orchestra this week, where MIT composer Tod Machover’s inventive new work “already and not yet” will see its world premiere on Thursday.

Machover, one of the world’s most prominent composers, has incorporated multiple ongoing interests into the new symphony, including AI tools interacting with the musicians, and a piece that is structured as a meditation on the crisis and promise of democracy. 

“An orchestra is an interesting ensemble to use for thinking about how different groups of people can relate to each other,” says Machover, who is the Muriel R. Cooper Professor of Music and Media and faculty director at the MIT Media Lab, where he also serves as director of the Opera of the Future group. 

He adds: “John Cage used to say one way to think of a piece of music is that it should be like the society you’d like to live in. I was always inspired by this idea, and thought of the orchestra — and constructed this new piece — in this way.” 

If the innovation in “already and not yet” comes from its use of artificial intelligence, and the reflection pertains to democracy, the celebration involved in the event partly relates to MIT: The performances are coordinated with the MIT Media Lab’s 40th anniversary celebrations occurring this week. Machover has been a member of the Media Lab since it opened. 

“In many ways, the piece is also an homage to the lab and to its spirit of invention and reinvention,” Machover says. 

The acclaimed conductor Kent Nagano — a longtime collaborator and advocate for Machover’s music — will lead the Boston Symphony Orchestra’s performances, which are taking place Oct. 22-24 at Boston’s Symphony Hall. 

Inspired by the possibilities

Machover’s extensive career has often featured the invention of new technologies within his compositions. Among many other technologically related projects, he has led the development of hyperinstruments, which can be responsive to the playing techniques of musicians and expand their range of expression; renowned cellist Yo-Yo Ma is among those who have performed Machover’s work using them. 

Working across diverse musical forms, Machover’s 2010 opera “Death and the Powers” was a Pulitzer Prize finalist. He has also used locally sourced and community-created sounds as additional aural layers in his “City Symphonies,” which have been created around the world. The next project in the series, underway in Seoul, South Korea, is scheduled for premiere in September 2027.

“I’ve always been inspired by the possibilities of technology and the expressive potential it opens up,” Machover says. “It is kind of the core language of our time and something we have to grapple with so that it evolves in the most positive human-enhancing ways. I feel so fortunate that I have been able to pursue this vision at MIT, and particularly at the Media Lab, for all these years.” 

Machover’s “already and not yet” reflects on democracy in multiple ways. One is through the form of the composition, which has three movements relating to different stages of democracy. In the first movement, “Smash Up,” strings and winds eventually get crowded out by what Machover calls the “oppressive, aggressive” sounds of brass, percussion, and electronics. The second movement, “Wake Up,” presents a moment to reflect and regroup, but little by little weaves together a thriving melodic and textural presence. The third movement, “Stand Up,” involves more vigorous interplay between all the musicians, inviting the players to participate in establishing a new kind of balance between individuality and community. 

In this way, “already and not yet” conceptualizes the orchestra as a way of representing the stress and revival of democracy, and uses a “Live AI” system created at the Media Lab — along with layers of electronics crafted in Machover’s studio — to emphasize this struggle and progression. In the second movement of “already and not yet,” the AI tools aim to underscore the distinctiveness of each instrumentalist, establishing an ensemble of soloists; in the third movement, more broadly representing the regrowth of a polity, the AI system aims to find common ground, building new sonic bridges across the orchestra and extending it out into the hall using extra, specially installed loudspeakers. 

“I’ve used the way the orchestra plays, how much is scripted and how much freedom they have, and how they negotiate their relationship with the conductor, as part of the story,” Machover says. “It’s not said explicitly, but I think the players and the audience will feel it. It’s a whole society up there on stage, and the liveliness and ever-changing nature of the AI systems for this piece both dramatize and encourage a new way of playing and listening.”

Machover credits two PhD candidates in his group at the Media Lab for their extensive work on the project: Manaswi Mishra, who designed and built the AI systems for the performances, and Ana Schon, who will be doing the complex sound mixing in Symphony Hall during each performance. 

Reflections of an AI veteran

For Machover, the application of machine learning and AI is hardly a newfound idea; he has been exploring the concept for decades, giving him a distinctive perspective on this topic du jour. 

“The current generation of AI, especially generative AI, has capabilities that are different than AI from 20 or 30 years ago,” Machover says. “It’s good at certain things that were hard to do 20 years ago, but less good at some things that were easier to do back then.” 

When he designed a hypercello for Yo-Yo Ma, for instance, those systems would analyze Ma’s sound, playing techniques, and expressive intent in order to shape the extensions of the instrument. Today’s AI tools “are less good at analysis, but very good at detecting significant features and patterns in the audio itself, information that can be leveraged to powerful musical effect,” Machover says. 

“Current systems aren’t so good at what we did [for Yo-Yo Ma], like trying to understand the performance or the music itself,” Machover says. “But evolving AI models do an incredible job — especially in Manaswi’s magical systems — at establishing an immediate, creative dialogue with musicians, producing sophisticated and surprising augmentations that in turn inspire performers or composers to discover truly new ideas.”  

Ultimately, Machover says, “I think this piece — through its technology, its ‘story,’ and its sounds — is meant to take people on a journey of recognition about where we are at this moment in time and where we might be going. It’s meant to be an optimistic and inspiring piece.” He adds, “The idea, expressed in the work’s title, is that we’re so lucky to be at this place in this moment, even with everything that’s wrong and in critical need of repair. We really are. At the same time, it’s so urgent to realize that the vision of a just and flourishing society, for which the foundation exist, isn’t finished at all. Not only that, it’s in crisis. So this is the last time to be complacent, or discouraged.”

For all of that, Machover also expresses hope that the audience at Symphony Hall can simply engross themselves in the music itself, and find it compelling on its own terms. 

“My biggest wish is that people listen to this piece as music — forget about the AI or the story and just get swept along,” Machover says. “There’s one melody in this piece that’s trying to express itself in the first movement, and appears in fragmented form in the second movement. In the third movement, it’s the center of everything, a kind of vision of resolve, hope, and purpose. If people come out of the performance and don’t have some part of that melody in their heads, I’d be surprised. I hope that audiences listen for that, try to hold on to it, and see where it might lead.”

The piece was commissioned by the Boston Symphony Orchestra and supported by the New Works Fund of the Massachusetts Cultural Council.

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MIT student team CERBERUZ wins NASA LunaRecycle Centennial Challenge, turning lunar trash into tools

Establishing a human presence on the moon will require state-of-the-art spacecraft, spacesuits, life-support systems, and some of the most sophisticated technology humans have ever built. It will also require figuring out where to put the garbage.

A future lunar outpost will receive a steady stream of supplies from Earth, bringing packaging and other materials that could quickly become a mountain of waste. Meanwhile, astronauts will need tools, replacement parts, and materials to maintain the outpost, and shipping supplies from Earth is astronomically expensive. An MIT student team has won first prize in a NASA competition for developing a way to turn that trash into useful materials for lunar living.

The Composites for Extraterrestrial Recycling By Engineering the Reuse and Upcycling of Zotek (CERBERUZ) team was named first-prize winner in both the Prototype and Digital Twin tracks of NASA’s LunaRecycle Challenge. The challenge — part of NASA’s Centennial Challenges series — asked participants to design and develop solutions that can reuse, recycle, or upcycle space waste and improve the sustainability of longer-duration lunar missions. Teams were encouraged to envision solutions that not only addressed recycling in deep space, but could also have applications on Earth.

The CERBERUZ team’s system turns otherwise unusable waste into new composite materials, grinding it down, melting it, and molding it into useful parts. The approach reduces the need for costly shipments from Earth and keeps bulky packaging from piling up in lunar landfills.

“Waste packaging materials will inevitably accumulate when a lunar outpost is built, and at the same time, outpost construction and maintenance will require a steady supply of new materials, including replacement parts,” says George Lordos, a research scientist in the MIT Department of Aeronautics and Astronautics and System Design and Management, and the lead advisor for the CERBERUZ team. “Recycling waste materials into such parts can help reduce materials needed to be launched from Earth.”

Waste not, want not

CERBERUZ separates non-biological waste into two streams: thermoplastics and everything else. All materials are then ground into a fine powder and mixed together. The powder mixture is loaded into an injection molding machine, where the thermoplastics melt with the remaining materials suspended in the molten plastic. The mixture is finally injected into a mold, producing high-quality composite parts that can be quickly and reliably replicated.
 

The team’s approach is especially notable for its treatment of Zotek F30, a closed-cell thermoset foam commonly used in aerospace packaging. Mixed thermoplastics and thermoset foams like Zotek F30 have no established recycling solutions, even on Earth. CERBERUZ takes a unique approach to this challenge by incorporating the Zotek as a reinforcing filler for the molten feedstock.

Zotek presents another peculiar engineering challenge that makes the need to break it down even more pressing: It is so lightweight that enormous quantities are needed to produce a useful mass of material. “We had big shipments of Zotek coming in, and one person can carry them on their head like it’s nothing,” says José Soto, a graduate student in AeroAstro and the team's pre-processing lead. “The box is the size of a person.”

The team designed the process around the constraints of operating far from Earth. Because CERBERUZ uses mechanical methods powered by electricity, it doesn’t rely on water-intensive recycling processes or chemical depolymerization, and produces no secondary chemical waste. This could allow packaging and other materials delivered to a lunar outpost to become a local source of manufacturing feedstock, giving astronauts the ability to produce needed items from material they already have on hand. 

“We set out to build something that would actually make sense on the moon, not just in a lab,” says Lanie McKinney, a graduate student in AeroAstro and team lead for CERBERUZ. “That means no water and no chemicals you can’t replace. Every design choice we made was driven by those constraints. And we don’t want to recycle just for recycling’s sake; we want to make useful things. Part of how we framed the problem was to create a system that can process nearly any feedstock and turn it into a wide array of components, giving more utility than producing a single item.”

Alongside the physical recycling system, the team developed DEIMOS, or Digital Environment for Intelligent Modeling of Operational Systems, a digital twin of its injection molding machine. Using data collected during actual production runs, DEIMOS models how different combinations of recycled materials and part geometries will behave during manufacturing, predicting factors including mold fill, warpage, and shrinkage risk. Ultimately, the digital twin could help astronauts determine how recycled materials will perform before committing limited resources to manufacturing a part on the moon.

Where ideas become hardware

The CERBERUZ team grew out of the MIT Space Resources Workshop, a co-curricular initiative of students passionate about designing, building, and testing systems to support future moon and Mars exploration. Founded in 2017, the workshop is well-known for building teams that take on, and conquer, grand challenges in NASA-sponsored competitions.

The team brings together undergraduate and graduate students from four MIT departments: Aeronautics and Astronautics, Mechanical Engineering, Electrical Engineering and Computer Science, and Materials Science and Engineering. Professor Jeffrey Hoffman, a former NASA astronaut, and Lordos served as advisors for the team. 

“What impresses me most about this team is the quality of leadership,” says Lordos. “Lanie McKinney has been an outstanding team lead, and the co-leads — Palak Patel on manufacturing and materials characterization, Lilly Etzenbach on the digital twin, and José Soto on pre-processing — have each built and managed subteams doing cutting-edge research in lunar sustainability.”

The win caps nearly two years of work on the challenge. CERBERUZ was selected as a Phase 1 winner in 2025 before advancing through Phase 2 and earning milestone prizes in both tracks on its way to the final demonstration in summer 2026. The team earned $925,000 in prize money over the course of the challenge, and hopes to reinvest their winnings in the Space Resources Workshop, funding equipment and facilities that will enable future teams to rise to ever-more-complex challenges. Those advances will help turn a return to the moon into something more permanent: a human presence, built to last.

“If we’re able to reduce the amount of waste that’s inevitably going to be left on the moon, rather than letting it pile up like a landfill,” Soto says, “we can preserve both the beauty of the moon and make exploration more efficient and sustainable. And perhaps we can inspire people back on Earth to take another look at our trash and find more ways to recycle or reuse it.”

CERBERUZ team leads are Lanie McKinney, Palak B. Patel, Lilly Etzenbach, and José Soto. Team members include Sophia Augier, Sophie Berkvist, Ariella Blackman, Keira Boone, Constantine Bulavenko, Seth Burrowes, Andrew Chen, Alex Chen, Chris Choe, Johnson Cristales, Brady Cruse, Hillel Dei, Natalie Hatzigeorgiu, Intia Ibnah, Avishai Jeselsohn, Mollie Johnson, Uma Kirk, Christopher Kwon, Jessica Meza, Juan Orrego, Giuliana Pertuz, Jordan Prawira, Brandy Romine, Dustin Wang, Madison Wood, and Adrian Yang. 

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Beaver Works Summer Institute: A leader in transformational STEM education

Eleven years ago, MIT Lincoln Laboratory staff member Robert Shin was challenged by a colleague to find a way to extend the resources of Beaver Works — a joint education and research center created by the MIT School of Engineering and the laboratory — to some of the best and brightest engineering students around the country. A year later, in summer 2016, the MIT Beaver Works Summer Institute (BWSI) was born. 

BWSI, which celebrated its 10th anniversary this summer, is a four-week program designed to offer high school students a transformational hands-on experience while teaching them skills to fuel their future studies and careers in science, technology, engineering, and mathematics (STEM).

"As I look back at the last 10 years of BWSI, I am humbled and grateful to be a part of this amazing journey," says Shin, who has served as the founding director and then the STEM program director for BWSI since 2016. "What started as an idea has evolved into something much bigger and more impactful than we ever imagined. Each year, our students have exceeded every expectation through their curiosity, hard work, willingness to accept challenges, and perseverance." 

Originally launched with a class of 46 students from 24 high schools across the country, the BWSI program has seen steady growth each year, both in the number of students enrolled and the total number of courses offered. In the first year of the program, BWSI offered just a single course — the Rapid Autonomous Complex Environment Competing Ackermann-Steering Robots (RACECAR) course — that challenged students to program vehicles to navigate a racetrack full of obstacles. A decade later, BWSI now offers 14 courses spanning fields such as artificial intelligence, data science, cybersecurity, quantum computing, and microelectronics to more than 440 students. 

"The nation needs innovators, problem-solvers, and leaders to tackle the national security challenges of tomorrow in a rapidly evolving world," says Melissa Choi, director of Lincoln Laboratory. "By bridging the gap between classroom theory and practical application, BWSI inspires the next generation of scientists and engineers and exemplifies the laboratory’s commitment as a federally funded research and development center to help develop the future STEM workforce." 

Beaver Works Operational Manager Lisa Kelley has been with the program from the start, for both the founding of Beaver Works in 2010 and the launch of BWSI in 2016. She recalls welcoming the first class of 46 students, adding that she never could have imagined the impact that BWSI would have a decade later. 

"Today, I look at the thousands of students who have come through our programs with immense pride and gratitude," says Kelley. "What makes me most proud is that we built something both exceptional and accessible, a program that challenges students at the highest level while expanding opportunity." 

Beyond the summer curriculum, BWSI has expanded throughout the years by offering eight-week outreach programs in the spring and fall that build technical foundations for high school students in grades 9–11 prior to entering the competitive summer program. One of these fall programs is "Girls Who Can," which focuses on engaging young girls with STEM. Additionally, in 2022 and 2023, BWSI launched national challenges that adapted the content of two of their courses (Build a CubeSat and Designing for Assistive Technology) into an eight-month team-based format with mentors. 

The BWSI curriculum has inspired collaborators to create similar programs in countries such as Greece, Japan, Canada, Mexico, Italy, and Spain, as well as parallel programs in schools and universities across the country. 

Beaver Works Manager Joel Grimm says that the growth of the program has continued to challenge and inspire him from year to year. "To me, Beaver Works and BWSI mean embracing change — saying 'yes' to something new and innovative," Grimm says. "I encourage students to step out of their comfort zone and see what’s possible, and I hope that more students understand that BWSI is a unique opportunity to take a risk and stretch beyond their expectations." 

After participating in BWSI, many students continue to engage with the program. One example is Diptanshu Sikdar, who participated in BWSI for two summers as a high school student before returning as a teaching assistant for the Quantum Software and Software Development courses. 

"BWSI transformed my curiosity about quantum computing into a strong foundation and introduced me to the beauty of algorithm design and computer science," says Sikdar, who went on to pursue a PhD in quantum science and credits his experience with BWSI for building connections that led to his current job at MITRE. "It was much more than a summer program for me; it was the point of origin for my quantum journey and the foundation for my growth as a student, researcher, teacher, and leader." 

It’s this type of transformational experience that Shin hopes BWSI students will continue to have well into the future. 

"I believe the last 10 years of BWSI were just the beginning," Shin says. "The BWSI program at MIT will continue to be impactful, and we see a future where all students interested in programs like BWSI will have an opportunity to participate and learn. Wouldn’t that be wonderful? It is not only possible, but we owe that to our next generation." 

To learn more about BWSI and how to support its mission, visit the BWSI website or email the administrator.

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MIT spinout makes surgical stitching more like applying a sticky note

Dozens of surgical procedures require doctors to connect two pieces of tissue together in a delicate stitching process. It happens in triple heart bypass, C-sections, and surgeries to repair hernias and tendons. Today, those procedures are mostly done by surgeon-controlled robots or by hand, and the margin for error is small. Even small errors in suturing or stapling can lead to leaks with devastating consequences to patients.

SanaHeal wants to make connecting tissues more like using tape. The company has developed a bioadhesive technology that can rapidly stick to wet and uneven surfaces and form air- and fluid-tight seals to simplify surgical procedures. The company’s product, first developed at MIT, was inspired by sticky materials in nature like barnacles and spider webs.

SanaHeal’s technology has already gained regulatory approval to stop trauma bleeding, and next year it will enter human trials to help control bleeding during surgeries and for repair of various injured tissues.

The startup, which collaborates with larger companies for clinical trials and commercialization, believes those applications only scratch the surface of the technology’s potential.

“If someone is struggling to put something on biologic tissues, we can help,” SanaHeal founder and chief technology officer Hyunwoo Yuk SM ’16, PhD ’21 says. “The current way of doing this is by suturing through tissues, which is painful and difficult to do perfectly during surgery. Our solution is more like a Post-it note. It’s much less invasive and easier to use with surgical robots. Also, faster and more efficient surgical procedures have potential to help lower ever-increasing costs of surgeries that are significantly straining the health care system.”

A sticking problem

Yuk conducted his master’s and PhD in the lab of Xuanhe Zhao, MIT’s Uncas (1923) and Helen Whitaker Professor of Mechanical Engineering. Initially, his research focused on the mechanical properties of soft materials called hydrogels, but about halfway through the program, he pivoted to study their biomedical applications, in part motivated by a serious accident his family member was involved in.

“We were looking at how to make these hydrogels better adhesives, and because we are in Boston, we started working with doctors and medical schools in the surrounding area,” Yuk recalls.

Those conversations made him realize how often surgeons have to seal or attach tissues. That process usually involves staples or sutures, which can cause more damage to tissues, trigger immune responses, and lead to scar tissue or infections.

“These are often tiny tissues that sometimes require needles thinner than a human hair to be used during microsurgery,” Yuk explains. “They are very difficult surgeries, and they can lead to all kinds of complications.”

Yuk realized his hydrogels offered a better solution. The materials, which are made from polymers and water, are biocompatible, meaning they minimize immune responses and scar tissue buildup. Early versions of the technology acted like double-sided tape, absorbing water from wet tissues using polyacrylic acid — an absorbent material used in diapers — to adhere to them in a matter of seconds.

Yuk had planned to stay in academia after his PhD, but as he learned more about what it would take for the technology to reach patients, he decided to focus on leading that work.

“It’s very difficult for innovations to make it into the clinic and help patients if you’re in an academic research lab,” Yuk says. “We didn’t know anything about startups, so we used resources like MIT’s Deshpande Center, the Venture Mentoring Service, and MIT’s Technology Licensing Office in hope that there might be external interest in our technology. We quickly learned the regulatory hurdles presented too much risk at the early stages for potential partners, so we had to commercialize it ourselves.”

The founders received funding from the Deshpande Center to start developing the company. SanaHeal was officially formed in 2021.

Yuk and his collaborators initially focused on applying their technology to wounds to stop bleeding. But they soon shifted to focus on surgical applications, which are more numerous.

“It’s a major unmet need,” Yuk says. “We are giving surgeons more options for a host of complex procedures. They are really excited about this.”

Partnering for impact

SanaHeal provides its technology to larger medical device company partners, who are developing products for a wide range of applications including in open, laparoscopic, and endoscopic surgeries as well as in combination with existing devices for sutureless implantation in applications like hernia and nerve repairs.

“We have envisioned ourselves as a platform company from the beginning,” Yuk says. “We don’t have the resources to develop 10 products at once, so we partner with bigger companies to commercialize solutions.”

Yuk, who has been working on the technology for nearly a decade, admits the commercialization process has taken longer than he expected. But he believes the payoff — seeing a technology he first developed in a lab have an impact on patients — will make the journey worth it.

“My life goal as a researcher is to see the full lifecycle of a new technology, from the scientific discovery, to research, to understanding how it works, to engineering it, to working with subject matter experts, and finally developing a product that gets approved to help humans,” Yuk explains. “It’s rare, but it would be incredibly rewarding and would be a great story to tell to inspire my research colleagues.”

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Symposium highlights MIT’s wide range of innovations for aging brain health

From its beginning in 2015, the premise of MIT’s Aging Brain Initiative (ABI) has been that neurodegenerative diseases such as Alzheimer’s are complex, “system-wide” breakdowns that will require advances of many kinds from many sources to address. The six talks at the ABI’s symposium “Innovations for the Aging Brain” on Sept. 25 illustrated what that’s come to mean at MIT, as scientists and engineers described their latest work to improve health for the aging brain.

“The ABI is unique because it brings together researchers from a diverse array of fields,” said ABI Director Li-Huei Tsai, Picower Professor in the the Picower Institute for Learning and Memory and Department of Brain and Cognitive Sciences (BCS). “Today’s symposium showcases MIT’s collective brilliance across neuroscience, engineering, chemistry, and beyond.”

One of the talks, for instance, featured a team effort including Giovanni Traverso, the Karl Van Tassel (1925) Professor of Mechanical Engineering and a physician at Brigham and Women’s Hospital, who has joined forces with Tsai and other collaborators to develop an artificial intelligence system that could improve personalized Alzheimer’s care by matching patients to the best prevention interventions for them. The system integrates data from clinical trials, patient lifestyle histories, and multi-omics data (e.g., genomics, proteomics) to predict an individual’s Alzheimer’s progression and likely response to interventions. 

Speaking alongside project leads Arvid Gollwitzer, an engineer-scientist in the Broad Institute of MIT and Harvard, and MIT-Novo Nordisk AI Fellow Adrián Noriega de la Colina, Traverso described how the team engineered an AI model, called FINGERS-7B, to integrate these multiple highly diverse data sources into its training, thereby amassing 8 trillion “tokens” to inform its predictions.

“Every individual is very unique in their biology, and that links to how we respond to those interventions,” said Noriega. Not only could AI predictions help tailor individual prevention measures, he added, but also it could inform clinical trial designs by better pinpointing the most appropriate populations to target with a prospective drug or other treatment.

Picower Professor Earl K. Miller focused on prevention of a different problem for the aging brain: cognitive side effects from exposure to too much general anesthesia. Noting high rates of postoperative delirium in older adults after major surgery, Miller described his research with ABI founding member and Institute Professor Emery N. Brown, a Picower Institute and BCS colleague, to develop a closed-loop system that uses brain wave-based measurements of unconsciousness to optimize anesthesia dosing. Miller and Brown’s labs have shown that regardless of their molecular means of action, multiple anesthesia drugs induce unconsciousness in the same way: by shifting brainwaves out of phase with each other, disrupting the coordination of communication across the brain’s cortex that sustains cognition and consciousness. Informed by such brain wave “signatures” of unconsciousness, the system could help anesthesiologists to safely tailor dosing during surgery.

In her talk, associate professor of mechanical engineering Ritu Raman, the Eugene Bell Career Development Chair of Tissue Engineering, described how she’s approaching the study of neuromuscular diseases, including amyotrophic lateral sclerosis (ALS) and muscular dytrophies, by developing advanced lab models of muscle tissue that also integrate nerves and vasculature. For instance, for ALS, her lab has been able to make the cultures from induced pluripotent stem cells derived from patients. The lab models give her team an opportunity to examine neuromuscular junctions in detail and to model how they change in response to potentially therapeutic drugs.

In many neurodegenerative diseases associated with aging, such as Alzheimer’s and Parkinson’s, a major pathology is misfolding and aggregation of intrinsically disordered proteins, such as amyloid-beta or alpha-synuclein. In her talk, William R (1964) and Daniel L. (1995) Young Career Development Assistant Professor of Chemistry Oleta Johnson described her lab’s work to prevent aggregation before it starts. In pursuit of that strategy, she said her lab’s research is focused on developing the chemical knowledge and means to identify proteins at issue, detect that they are moving into a problematic state, and then control their conformation.

Eugene McDermott Professor in the Brain Sciences and Human Behavior Alan Jasanoff, a member of the BCS and Biological Engineering departments as well as the McGovern Institute for Brain Research, described a very different application of chemistry to aging brain research. He described how his lab develops novel chemical probes to make molecules in the brain visible in magnetic resonance imaging. These include the neuromodulatory enzyme cholinesterase, which is the target of many of the few drugs approved to treat Alzheimer’s, and also lipids, which several brain cell types mishandle in Alzheimer’s, Tsai and others have shown. His lab has also developed technology to genetically encode a novel probe in brain cells to improve MRI visualization of brain activity.

And while many researchers focus on the prominent problems that proteins or lipids present in neurodegenerative disease, Novartis Professor of Chemistry Laura Kiessling discussed a less-appreciated but still important component of cellular function: sugars called glycans that line the surface of cells. In particular, researchers have linked a glycan called heparan sulfate to Alzheimer’s disease. Kiessling’s lab, working with ABI founding member Ed Boyden, Y. Eva Tan Professor of Neurotechnology, is working to characterize and understand glycans. Her lab, for instance, has shown that glycans of different sequences organize on cell membranes so that they can bind and recruit specific proteins to distinct regions on cells.

“We are really excited about the fact that we’ve observed this now for the first time and have a toolkit to study other diseases,” she said. Understanding glycan binding could even give scientists a means to target different cells and cellular processes.

Following the six talks, more than a dozen trainees at a poster session presented even more aging brain-related projects from around the Institute, further highlighting MIT’s diversity of research in the area, something the ABI exists to encourage.

From massive AI datasets to the sugars on individual cells, the symposium highlighted how MIT scientists are pushing the frontiers of science and engineering to improve understanding of, and interventions for, the health of the aging brain.

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Why teaching AI about symmetry could make prenatal diagnosis more reliable

Despite millions of years of evolution, the development of the human fetus remains a complex process that is vulnerable to genetic, environmental, and metabolic disruptions. These disruptions could result in developmental abnormalities, starting with one of the first organs to begin developing in the fetus that continues to develop after birth: the brain.

In a routine prenatal ultrasound, the sonographer will flag possible brain abnormalities for additional magnetic resonance imaging (MRI). But imperfect imaging can result in missed or incorrect diagnoses. 

To assist with the early detection and treatment of these abnormalities, researchers at MIT, Boston Children’s Hospital, and Inria have developed and trained a deep learning model called E(3)-Pose that helps image the fetus’s head while it’s in motion to capture a high-resolution image that the radiologist can examine. A paper about the work was presented at the 2026 European Conference on Computer Vision. 

“One of the problems with having the baby move is that the slices are all over the place,” says first author Ramya Muthukrishnan. Muthukrishnan is an MIT PhD student in the lab of Sunlin (1966) and Priscilla Chou Professor of Electrical Engineering and Computer Science Polina Golland, who is a principal investigator at the MIT Abdul Latif Jameel Clinic for Machine Learning in Health (Jameel Clinic) and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL).

By slices, Muthukrishnan is referring to a series of 2D images taken during a fetal MRI scan. These 2D planes stacked together effectively make up one high-resolution, 3D image of the fetus’s head. But if the head shifts during imaging, each 2D image “slice” could end up being taken from a different angle, resulting in gaps in the final scan and unusual slice orientation. These problems may cause the physician reviewing the MRI to miss or incorrectly diagnose a pathology in the fetal brain.

“There are very fine details that you need a very good volumetric picture of the brain to see,” explains Muthukrishnan. “If you have coverage gaps, you can’t see critical regions, and you need to be able to see well to detect abnormal development.”

What makes E(3)-Pose particularly good at tracking fetal motion is its focus on physics. Rather than simply training the model to learn physics from the data, the very principles of physics are baked into the neural network: left-right symmetry of the fetal head is embedded in the model architecture, making it easier for the model to accurately identify the brain’s orientation. 

When Muthukrishnan began working on the project at the start of her PhD, she had no background in physics, let alone MRI physics. Most of her experience was in computer science. “I was surprised when I had to go and implement this on the scanner,” she recalls. “I was not prepared for how many times I would crash the scanner because putting things on hardware and getting it to work on hardware is a different beast than training a model to run on data on a GPU.” 

Despite the challenges, Muthukrishnan persisted. She remembers shadowing a radiologist who performed fetal MRI scans at Boston Children’s Hospital at the start of her PhD and observing the shared frustration of the patient and radiologist: the pregnant mother felt uncomfortable after spending an hour in an MRI, only to quit the scan halfway; the radiologist was unable to procure a full, high-quality MRI to monitor the development of the fetus.

“Seeing frustration about it helped me decide what I wanted to do with my PhD, because it felt like this was a pain point,” Muthukrishnan says.

Fortunately, she had help: Co-author Borjan Gagoski, an assistant professor of radiology at Harvard Medical School and a researcher at Boston Children's Hospital, developed a sequence that acquires additional MRI scans to assist with training E(3)-Pose and worked with Muthukrishnan to help troubleshoot the scanner whenever it crashed. Co-author and Boston Children’s Research Assistant Aryn Lee recruited the pregnant volunteers and assisted with acquiring each of the MRI scans. Senior authors who helped guide the project include Elfar Adalsteinsson, MIT professor of electrical engineering and computer science; Ellen Grant, the Käthe Beutler Professor of Pediatrics and professor of radiology at Harvard Medical School; and Golland. Benjamin Billot, a researcher at Inria and a former postdoc in Golland’s group, helped Muthukrishnan get started with the initial method he developed.

“Ramya’s work elegantly combines geometric concepts like equivariance and symmetry with the power of deep learning to change how MRI scanners acquire the images, and to ultimately help the physicians detect and treat problems early in development. It’s an impressive research project that is deep and fundamental in how it models image acquisition, with clear clinical impact,” says Golland.

Grant, who directs the Fetal Neonatal Neuroimaging and Developmental Science Center (FNNDSC) at Boston Children’s, adds that Muthukrishnan’s work “will automate fetal brain MRI, replacing today's slow, manual process with faster and more comfortable scans for mothers, while also providing higher-quality images for radiologists to interpret.”

E(3)-Pose’s applications could extend beyond motion tracking for fetal MRIs. It could assist with imaging other hard-to-image anatomy, and even autonomous driving applications, where limited sensors need to capture noisy, 3D data in order to track 3D objects.

For now, Muthukrishnan hopes to improve E(3)-Pose so that it can help with imaging second-trimester or younger fetuses, as the model is primarily trained on third trimester fetuses. Second-trimester fetuses are “so small, they move around a lot more because there’s more space in the uterus,” Muthukrishnan says. “They’re more important to focus on because the earlier you detect brain abnormalities, the easier it is to intervene.” 

This work is supported by the MIT Jameel Clinic, the MIT Takeda Program, the Chou Family Transformative Research Fund, the National Institute of Biomedical Imaging and Bioengineering, and the Eunice Kennedy Shriver National Institute of Child Health and Human Development.

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