Pramipexole, in patients with major depressive disorder, dysthymia or bipolar depression, reduced Snaith−Hamilton Pleasure Scale scores significantly compared to placebo.
The Hong Kong Genome Project established a genome sequencing database that provides improved diagnoses for patients and more efficient, population-tailored carrier status screening. Actionable pharmacogenomic variants were identified in almost all participants, informing drug prescriptions. This work establishes a genomic resource and a transferable model for equitable precision medicine in underrepresented populations worldwide.
In an independent evaluation, frontier large language models outperformed specialized clinical artificial intelligence tools on medical knowledge, clinician alignment and real-world clinical queries.
Striatal direct and indirect pathways jointly control how many actions are performed during counting, and how animals move toward specific goals. These pathways implement a push–pull controller for discrete action counting as well as continuous movement control.
Background: Clinical dashboards are becoming important tools for managing and monitoring hospitalized patients across different wards. Moreover, careful attention to design, usability, and user interaction is essential for developing effective support tools for clinicians. Objective: This study aimed to describe the development, implementation, and preliminary evaluation of an interactive dashboard for patient monitoring and management in the Continuity of Care Centre (CCC). Methods: We developed a dashboard according to clinicians’ requests and the daily workflow of case managers. First, a CCC Data Mart was created to collect all patients’ information automatically extracted from the hospital’s data warehouse. However, case managers had the possibility to enter additional patient information in the dashboard using a dedicated form. Moreover, CCC physicians, nurses, and administrative staff were surveyed using 2 validated questionnaires, the System Usability Scale and the Questionnaire for User Interaction Satisfaction. The Situation Awareness Index was proposed to evaluate user awareness and task efficiency. Results: The first version of the CCC dashboard presented 4 panels with different types of information, both on the individual patient and on metrics related to the overall patient population. The first panel focused on patients’ data, such as demographic factors, admission, transfer, discharge wards (and their dates), etc. The importance of this panel was the possibility of viewing information collected from different sources within a single interface. The other 3 panels displayed different key performance indicators for the overall patient population and presented data both in the form of tables in the second panel and graphs in the third and fourth panels. After 3 months of daily use, a total of 15 participants, 10 nurses, 2 administrative staff members, and 3 physicians, were recruited for the dashboard evaluation. The average System Usability Scale score of the dashboard was 61.5 (SD 15.7) points, which indicates “OK to good” usability, and the median score obtained with the Questionnaire for User Interaction Satisfaction was 5.77 (IQR 4-7), with the highest results in usability (mean 6.33, SD 0) and learning (mean 6.01, SD 0.39). The overall Situation Awareness Index score was 4 points, with the highest score in “familiarity of dashboard” (mean 4.73, SD 1.66 points) and “arousal support” (mean 4.6, SD 1.8 points). Conclusions: We developed an interactive dashboard for patient monitoring and management, with positive evaluations from users across different questionnaires.
<img src="https://jmir-production.s3.us-east-2.amazonaws.com/thumbs/65132239ee389a3c7f7757cc25f46d29" />
<![CDATA[Experts unpack why most psychiatric care relies on off‑label meds, how neuroscience guides safe polypharmacy, and what could reshape FDA approvals.]]>
To the untrained eye, the chip is a piece of clear silicone about the size of a AA battery. Crisscrossing chambers within house hot pink and electric blue liquids that neatly cascade toward the device’s beveled edges.
Yet inside, invisible without a microscope, is the replicated microenvironment of a human liver. The pink and blue rivulets, each a millimeter wide, are endothelial and epithelial channels, respectively. Between them dance immune, stellate, and endothelial cells, complete with extracellular matrices and a membrane, hepatocytes galore. Together, they comprise the quad-culture model of Emulate’s Liver-Chip S1.
Lorna Ewart, PhD CSO, Emulate
“When you first look at it, you’re like, ‘That does this?’” said Lorna Ewart, PhD, CSO at Emulate, a Boston-based biotechnology firm specializing in organs-on-a-chip. “The engineering behind it is fairly complex.”
The chip, a marvel of photolithography, is assembled in layers of polydimethylsiloxane. A porous membrane separates the blue upper channel, which has a height of 1 mm, from the pink lower channel, which stands a mere 0.2 mm tall. Emulate prepares the multicellular framework for purchase and from there, researchers are free to experiment on the tissue-tissue interface in three dimensions.
“It’s a very elegant solution,” Ewart said. “When you place the cells in this device, you are starting to create an environment that feels like home for those cells.”
In the world of drug development, the advantages of organs-on-a-chip over traditional Petri dish cultures go beyond their 3D design, Ewart stressed. Microfluidics are at play, with perfusion the “secret sauce” that mimics human physiology.
“All of your tissues in your body are perfused,” Ewart said. “Recreating that in vivo-like environment is what makes these cells function as if they’re in the body, and therefore gives greater or more predictive data to the user.”
Emulate, whose founders began their work at Harvard University’s Hansjörg Wyss Institute for Biologically Inspired Engineering, is a key player in the explosion of the organ-on-a-chip industry. Valued at $227 million last year, the global market size is projected to soar to $3.4 billion by 2034, according to market research firm Straits Research.
This growth, Ewart said, comes down to one driver: Animal models are poor predictors of drug safety and efficacy
in humans.
Ancient problem meets futuristic solution
The vast majority of drug candidates—90%—fail in clinical trials, according to a 2022 report in the journal Acta Pharmaceutica Sinica B. That doesn’t include those that don’t make it past preclinical testing. The few drugs that are successful typically take more than 10 to 15 years each, and upward of $1 billion to $2 billion to go from discovery to market.
One reason for drugs’ limited success in this costly, lengthy pursuit is the inability of animal models to adequately simulate drug responses in humans.
Since antiquity, humans have relied on animals to help them understand their own anatomy and physiology. Though French chemist Louis Pasteur famously tested the rabies vaccine on animals before successfully doing so in humans in the 1880s, it wasn’t until the passage of the Food, Drug, and Cosmetic Act in 1938 that animal testing became the gold standard in U.S. clinical drug trials.
More than 80 years later, in 2022, the bipartisan Food and Drug Administration (FDA) Modernization Act 2.0 made animal testing optional. The new law encourages drug developers to conduct testing “in vitro, in silico, or in chemico, or a nonhuman in vivo test.” Organs-on-a-chip, which the FDA considers a type of microphysiological system, were listed as one such technology.
The FDA has continued to move away from animal testing. In March 2026, the agency issued draft guidance highlighting new approach methodologies (NAMs)—including organs-on-a-chip—that may be used instead.
“This draft guidance advances our commitment to replace animal testing with human-relevant, scientifically rigorous methods,” Secretary of Health and Human Services Robert F. Kennedy Jr. said in a recent statement. “Clear validation expectations will help modern tools earn regulatory confidence and speed safer, more effective therapies to patients.”
It’s a global effort. The U.K.’s Medicines and Healthcare products Regulatory Agency announced a commitment to “replace, reduce, or refine animal use in medicinal product development.” In Japan, the Pharmaceuticals and Medical Devices Agency established a NAMs Working Group. The Indian government recognizes NAMs as a valid preclinical endeavor.
Donald Ingber, MD, PhD, the scientific founder at Emulate and founding director of the Wyss Institute, has been a step ahead for the better part of two decades. In 2010, he and Dan Dongeun Huh, PhD, now a professor of bioengineering at the University of Pennsylvania and the co-founder and CSO of biotech firm Vivodyne, developed a “breathing” lung-on-a-chip. Their research, published in Science that year, is considered a seminal work in the organ-on-a-chip space.
In a video accompanying a 2010 Harvard Medical School news release about the research, Ingber described the chip as a “little, flexible device” designed “hopefully, someday, to replace animal studies.” Someday has arrived.
The FDA launched the pilot program, Innovative Science and Technology Approaches for New Drugs (ISTAND) in 2020 and adopted it as a permanent initiative in 2025. Part of Ewart’s job is to steer Emulate through this regulatory pathway. In doing so, she confronts one of the biggest hurdles in organ-on-a-chip expansion: standardization.
“When a tool is qualified, it can be used in a regulatory document without the FDA needing to reconsider or reconfirm its suitability,” Ewart said. “It saves the sponsor a lot of time, and it’s an acknowledgement that these tools perform very well. … The data that comes from them, they will use in their risk assessment of a drug as it moves into the clinic.”
Emulate was the first organ-on-a-chip company granted acceptance to ISTAND, Ewart said. The FDA noted its Liver-Chip S1 is designed to predict drug-induced liver injury, a major reason why drugs fail safety testing in trials and are withdrawn from the market.
“We’re in the final phase now of the program,” Ewart said. “Looking forward to trying to obtain qualification in 2027.”
Faster results for patients in need
As they continue their metamorphosis from futuristic concept to laboratory standard, organs-on-a-chip offer researchers and patients an unprecedented bench-to-bedside timeline.
Weiqiang Chen, PhD Professor NYU Tandon School of Engineering
While drugmakers and the general public alike stand to benefit from accelerated drug discovery, Weiqiang Chen, PhD, designs chips for patients who lack the luxury of time. Chen, a professor of biomedical, mechanical, and aerospace engineering at NYU’s Tandon School of Engineering in Brooklyn, helped develop the first immunocompetent leukemia-on-a-chip.
“It’s quite a different type of cancer,” Chen said. Most cancers form solid tumors, but leukemia, a liquid cancer, develops in the bone marrow. “It’s more challenging to generate the microenvironment for leukemia. … It involves a lot of immune cells, immune functions, and immune interactions.”
The leukemia-on-a-chip, commissioned by NYU Langone Health, is circular, roughly the size of a quarter. Green and vermilion pools surround a blue ring at the center. Within that lies a red liquid dot.
“Outside, we have one layer of osteoblasts, the bone cells, and inside are the central sinus and the vasculature and some mesenchymal stem cells,” Chen said. “All the immune cells are located within the vascularized niche, similar to real bone marrow.”
The technology allows Chen and his team at NYU’s Applied Micro-Bioengineering Laboratory to interrogate single cells. They can also observe how the cancer responds to chimeric antigen receptor T-cell therapy in real time—within a patient’s unique immune system.
The chips are constructed using a leukemia patient’s own cells. Meaning, Chen said, the observed therapeutic response is not only more accurate than it would be in an animal model but also patient-specific.
“We can help to identify responders, non-responders, or we can help screen out more efficient combination therapy for the specific patient for precision medicine purposes,” Chen said.
He acknowledged that the process is imperfect, yet strong enough to swiftly guide treatment. The chips take just half a day to build and yield results within weeks.
“We can fill the gap, providing a high throughput and also accelerated screening in three weeks,” Chen said. “We can screen many drugs at the same time.”
Chen pointed out that some patients have a weeks-long window in between chemotherapy and immunotherapy—a time crunch the leukemia-on-a-chip can accommodate.
The lab is also exploring other immunologic uses for organs-on-a-chip, including a lymph node-on-a-chip that can help validate new vaccines. In addition, in March, the NYU Grossman School of Medicine and Sage Bionetworks received a $25-million grant to launch the data hub and coordinating center for the National Institutes of Health’s (NIH) Complement-Animal Research in Experimentation program.
Though Chen will leave NYU in June to become the dean of the new School of Biomedical Engineering at Nanjing University in China, the work continues.
“It’s exciting for us to expand our research in the future to make a real impact,” Chen said.
Bone-deep discoveries, millimeters thin
Nearly 3,000 miles to the west, Avathamsa Athirasala, PhD, an assistant staff scientist at the Oregon Health and Science University (OHSU) in Portland, is studying other aspects of the bone in miniature.
“The bone is different from other tissues in how it feels and what it’s made up of,” she said. “It’s highly mineralized, it’s mechanically stiff, and it’s constantly being remodeled. It has a lot more forces being put on it.”
Avathamsa Athirasala, PhD Assistant Staff Scientist Oregon Health and Science University
Athirasala works in the Precision Biofabrication Hub, part of the OHSU Knight Cancer Institute, under founding director Luiz Bertassoni, DDS, PhD. Through their bone-on-a-chip, hub researchers are studying cancer metastasis.
For example, more than 80% of people with advanced prostate cancer experience bone tumors. A $2.5-million NIH grant awarded in April will help Athirasala’s team discover how.
“Some of these tumor cells—why are they attracted to bone? And why do they thrive in bone?” she asked. “Because they have never experienced an environment like bone.”
She added, “Using this model, we are able to try and maybe even understand how cancer progresses, or how it changes as it goes to a new environment.”
Athirasala is also investigating potential uses for the bone-on-a-chip in regenerative therapies. Soldiers, for instance, may have debilitating bone injuries that heal differently from fractures. A scaffold designed to regenerate bone may be a better treatment than a metal implant, and the chip could help evaluate patient reaction.
“What are the first things that the body starts doing in response to a foreign object? There will be inflammatory signals, there will be host stem cells that want to infiltrate in there and start remodeling it,” Athirasala said. “You can actually recreate the temporal aspects of this—what comes first, what comes later—in a chip.”
Problem and promise of precision
Athirasala delights in seeing solutions to biological problems play out before her. Within organs-on-a-chip, cells hold answers. Still, the devices’ possibilities aren’t endless—yet.
Precision medicine applications, in particular, face logistical roadblocks, she said.
“You have to get all the pipelines in place to be able to get patient cells, preserve them long enough, and get them to where the engineers are making these chips and incorporate them in the devices,” Athirasala said.
Preclinical drug testing that replaces animals with organs-on-a-chip is projected to curtail costs in the long run. Emulate, for example, expects its Liver-Chip alone to increase annual research and development productivity in the small-molecule drug development industry by $3 billion. But as with any new technology, for now, the chips themselves and the infrastructure required to sustain them aren’t cheap.
Market intelligence platform IndexBox estimates that in the U.S., single-chip readers cost about $10,000 each, while comprehensive systems that manage microfluidics run as high as $200,000. Chips are priced between $50 and $2,000, with assay kits and reagents hovering around $100 to $500.
Ewart, of Emulate, said the company doesn’t typically publish costs, which vary depending on customer needs.
What’s more, with each institution that builds its own organ-on-a-chip, standardization becomes harder to attain.
“Each one may have their own advantages, but no one can convince each other which one’s better,” said Chen, of NYU. “Without standards, we cannot really push this technology into practical use.”
Andrei Georgescu, PhD CEO and Co-founder Vivodyne
In the absence of device uniformity, Vivodyne, the Penn Engineering spinoff with offices in Philadelphia and outside San Francisco, is tackling the issue of reproducibility. CEO and co-founder Andrei Georgescu, PhD, saw a solution in end-to-end automation.
“If it is possible to scale up the production of these lab-grown tissues, then we have ourselves a substrate for solving what is the most challenging problem now in medicine,” he said, “which is, we don’t know how human biology responds very well to the perturbations that we make on it.”
The result not only eliminates human variation in lab technique but also allows Vivodyne to test more than 10,000 lab-grown tissues at once.
“We shrink what is like a state-of-the-art biotech lab into the footprint of a large desk,” Georgescu said. “Within each of these systems, we have complex confocal microscopy and a fridge and freezer and a robot arm with multiple tools for liquid handling, dispensing, and dosing these tissues, and we grow them within this platform.”
Vivodyne pairs its automated labs with artificial intelligence to create a feedback loop in experimental design, Georgescu said. The idea is to quickly identify druggable targets and pinpoint which drug candidates are most likely to succeed.
While complete bodies-on-a-chip remain a pipe dream, Vivodyne is among the companies investigating how different organs-on-a-chip interact with one another. Orlando-based Hesperos, for one, manufactures a Human-on-a-Chip® that can replicate several organs on a single device. TissUse, of Berlin, is developing multi-organ chips to mirror male and female environments: the HUMIMIC ChipXY and HUMIMIC ChipXX.
The burgeoning field of organ-on-a-chip drug testing lies at the intersection of bioengineering, pharmaceutical regulation, and data science. To Georgescu, at its heart, it’s also reassuringly straightforward.
“Just because biology is complex,” he said, “does not mean it is not already as simple as can be.”
Lindsey Leake is an award-winning, independent health reporter based outside Washington, D.C. She spent 15 years as a staff journalist at outlets including Fortune, the USA TODAY Network and Sinclair Broadcast Group. She holds an MA in Science Writing from Johns Hopkins University, an MA in Journalism and Digital Storytelling from American University, and a BA from Princeton University.
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.
Why “reprogramming” is the buzziest approach to reversing aging right now
Earlier this week, Life Biosciences, a biotech company focused on reversing age-related diseases, announced that it had dosed its first volunteer. A person with glaucoma has had an experimental treatment injected straight into their eyeball.
The idea is to treat the disease by regenerating healthy nerves in the eye—but the company already hopes to go further. If the treatment can reverse glaucoma, similar treatments could reverse other diseases of aging. Maybe, just maybe, they could reverse aging altogether.
The approach relies on “reprogramming” cells to a younger state. It’s one of many strategies being explored by biotech companies looking to slow and reverse aging. But of all of them, it seems to be the one that is truly taking off.
This story is from The Checkup, our weekly newsletter giving you the inside track on all things biotech. Sign up to receive it in your inbox every Thursday.
Inside Interoception: The hidden sense of how you feel inside
Scientists have a word for how we sense ourselves from the inside: interoception. Today, thanks to a 2021 Nobel Prize and new tools that can map internal signaling across the body, research into interoception is taking off.
As researchers decode how signals move between body and brain, a clearer picture is starting to take shape—with implications for how we understand and treat conditions from obesity to chronic pain to anxiety.
This story is part of MIT Technology Review Explains, our series untangling the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here.
The must-reads
I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.
1 SpaceX has officially delivered the largest IPO in history It’s raised a record $75 billion at a $1.77 trillion valuation. (Axios) + Making Elon Musk the world’s first trillionaire (on paper). (Reuters $) + The IPO will now put his “extreme ownership” to the test. (Wired $) + While China attempts to build a Starlink rival. (Rest of World) + And other challenges to SpaceX emerge. (MIT Technology Review)
2 Jeff Bezos wants to build an “artificial general engineer” Through his new industrial AI startup, Prometheus. (NYT $) + Which just raised $12 billion, valuing it at $41 billion. (TechCrunch) + Meanwhile, OpenAI is building a fully automated researcher. (MIT Technology Review)
3 Chinese regulators are dramatically intensifying tech enforcement A spell of relative restraint has ended. (SCMP) + Regulators have admonished e-commerce giants Alibaba and JD.com. (FT $) + And blocked Meta’s acquisition of Chinese AI startup Manus. (BBC)
4 Google says Chinese cybercriminals used Gemini to scam Americans It’s suing the network over the alleged AI-powered scams.(NYT $) + “Supercharged scams” are one of our 10 Things That Matter in AI Right Now. (MIT Technology Review)
5 Ukraine’s defense AI chief predicts a “new paradigm” of warfare He expects AI systems to unify into a single battlefield network. (Reuters $) + AI chatbots could be used for targeting decisions. (MIT Technology Review)
6 Anthropic has rankled users with its safety-first Fable model Stringent safety rules and refusals to help have sparked a backlash. (NBC) + Anthropic has backtracked on some policies. (Wired $)
7 Pokémon Go data trained AI that could assist military drones It could help them locate themselves in war zones. (Guardian) + Pokémon Go data is also training delivery robots. (MIT Technology Review)
8 Orbital data centers are harder than Silicon Valley thinks Shedding heat in space requires ingenious new designs. (IEEE Spectrum) + We need a few things to put data centers in space. (MIT Technology Review)
9 A toy universe shows time could be a quantum illusion It could emerge from quantum interactions, rather than just existing by default. (New Scientist $)
10 Chatbots keep telling stories about a lighthouse keeper called Ella And now we may finally know why. (404 Media)
Quote of the day
“People are paying a trillion dollars for Elon.”
—Ross Gerber, the CEO of Gerber Kawasaki, which owns SpaceX stock, tells the New York Times why he believes the company’s IPO is overvalued.
One More Thing
GEORGE WYLESOL
How generative AI could reinvent what it means to play
I was immediately attracted to open-world games, in which you’re free to explore a vast simulated world and choose what challenges to accept. To make them feel alive, these games are inhabited by crowds of “nonplayer characters” (NPCs). But the illusion starts to weaken when you spend enough time with them.
It may not always be like that. Just as it’s upending other industries, generative AI is opening the door to entirely new kinds of in-game interactions that are open-ended, creative, and unexpected. The game may not always have to end.