Organs-on-a-Chip Offer “Elegant Solution” to Quandary of Animal Models in Drug Design

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
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
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
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
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.

The post Organs-on-a-Chip Offer “Elegant Solution” to Quandary of Animal Models in Drug Design appeared first on Inside Precision Medicine.

The Download: “reprogramming” aging, and the hidden sense of interoception

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.

Read the full story on the pursuit of reprogramming for rejuvenation.

—Jessica Hamzelou

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.

Find out how it’s leading to a “new continent of awareness.”

—Katherine W. Isaacs

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

a knight standing in a virtual space

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.

Discover how generative AI could make games—and other worlds—deeply immersive.

—Niall Firth

We can still have nice things

A place for comfort, fun, and distraction to brighten up your day. (Got any ideas? Drop me a line.)

+ My feet have fallen for the Crocs x Super Mario collection.
+ Denmark’s 2026 Mullet Championship is the hottest hairdo contest of the year.
+ Hungry at half-time? Here are seven mouth-watering international recipes inspired by the World Cup.
+ Feast your eyes on a helicopter bound for Mars and a flowery Milky Way frame in Nature’s top images from last month.

Distribution of bladder afferent activity across the sacral roots in sheep shows marked individual variation: implications for neuroprosthesis design

ObjectiveImplantable sacral anterior root stimulators enable bladder emptying after spinal cord injury but do not prevent reflex incontinence. A closed-loop neuroprosthesis that detects and inhibits reflex bladder contractions could address this, but first, reliable detection of bladder fullness from the sacral roots. Further, the distribution of afferent bladder activity between sacral roots, and the relationship between efferent and afferent activity within each root, remains unclear and must be clarified to guide implant design.MethodsElectrode books were implanted on the S1–S3 extra-dural sacral roots bilaterally in six terminally anesthetized sheep. Afferent electroneurogram (ENG) was recorded concurrently from all implanted roots during filling cystometries and correlated with bladder pressure. Each root was individually electrically stimulated and the bladder pressure response recorded. Post-mortem morphometric analysis determined fiber size distribution in each root.ResultsOverall, S2 ENG activity showed the highest correlation with bladder pressure, and electrical stimulation of S2 and S3 produced the greatest increases in bladder pressure. Fiber size distribution did not correlate with either ENG activity or bladder pressure response. Significant variation was identified between individual sheep, but notably, in four of six sheep, a single sacral root had both the highest ENG correlation to bladder pressure and the greatest bladder response to stimulation.SignificanceThis study demonstrates reliable recording of bladder afferents from sacral roots using clinically applicable electrodes. It provides the first systematic recording of bladder ENG concurrently across three pairs of sacral roots in multiple animals, and the first characterization of signal distribution between roots. Significant individual variation is identified, impacting the design of future implantable sacral neuroprostheses for bladder control.

Artificial intelligence for autism spectrum disorder: advances in diagnosis, behavior analysis and educational support

IntroductionArtificial intelligence has become an increasingly relevant field of research in the study of Autism Spectrum Disorder (ASD), offering novel technological approaches for the analysis, detection, and support of individuals on the autism spectrum. The aim of this study was to systematically review recent scientific literature examining the application of artificial intelligence in ASD.MethodsThe review was conducted following the PRISMA 2020 guidelines. Searches were performed in PubMed, Scopus, Dialnet, and Google Scholar, including studies published between 2019 and 2025. After applying predefined inclusion and exclusion criteria, 18 empirical studies were included in the final analysis. Methodological quality and risk of bias were assessed using Joanna Briggs Institute critical appraisal tools adapted to the methodological design of each study.ResultsCurrent research focuses primarily on four areas: early detection and diagnostic support, automated analysis of behavioral and social patterns, AI-based educational technologies, and communication support systems. Although the reviewed studies demonstrate promising advances in machine learning, computer vision, and natural language processing, important methodological limitations remain, particularly regarding external validation, dataset representativeness, and heterogeneity of performance indicators.DiscussionOverall, artificial intelligence shows considerable potential for supporting diagnosis, education, and communication in ASD; however, greater methodological robustness, transparency, and ethical safeguards remain necessary before broader implementation in real clinical and educational settings.

Head circumference assessment in pediatric MRI: a pilot study of manual measurement methods and automated segmentation-based alternatives

PurposeHead circumference (HC) is an important clinical parameter in neuropediatrics, but it is often missing or outdated in referral information. This can lead to subjective, reader-dependent estimation during MRI interpretation. We first aimed to compare magnetic resonance imaging (MRI)-based methods for HC measurement against the tape measure (ground truth), and second to establish an automated alternative.MethodsIn 23 children (mean age 4.5 years, range 0.5–17 years), HC was prospectively measured with a tape measure (ground truth) on the day of MRI. MRI-based HC measurements were derived from 3D T1-weighted MPRAGE and followed a two-step workflow: measurement plane selection and circumference measurement within that plane. Plane selection was performed using visual-based, rule-based, atlas-based [(infant) FreeSurfer], or neural network (nn)-based methods. Circumference measurement was performed using manual ellipsoid, manual contour, automated ellipsoid, or automated contour methods. The relative technical error of measurement (r-TEM; acceptable < 1.5%) and intraclass correlation coefficient (ICC; two-way mixed ANOVA model) were used to assess accuracy and consistency with the tape measure.ResultsVisual-based with manual ellipsoid/contour and rule-based with manual ellipsoid/contour showed acceptable accuracy (r-TEM 0.73%–1.12%). Visual-based with automated ellipsoid and rule-based with automated ellipsoid also demonstrated acceptable accuracy (r-TEM 0.77% and 0.68%). Atlas-based with automated ellipsoid achieved the lowest r-TEM (0.55%), followed by nn-based with automated ellipsoid (r-TEM 0.75%). In contrast, automated contour approaches showed unacceptable accuracy (r-TEM 3.42%–4.21%). Seven nn-based measurements with automated ellipsoid/contour were spurious. ICCs were high across all methods (0.993–0.997); however, manual contour and automated ellipsoid were associated with overfitting issues.ConclusionThe developed, fully automated algorithm based on (infant) FreeSurfer provides precise and reliable head circumference measurements from pediatric MRI scans with acceptable overall accuracy and excellent consistency with manual measurements using a tape (gold standard). Our algorithm simplifies the head circumference measurement process and provides a reproducible, reader-independent value that enhances the interpretation of neuroradiological findings. Further studies should be conducted to validate with larger sample sizes and to develop deep neural network algorithms for segmentation.

Problematic social media use, everyday memory failures, and prospective and retrospective lapses: evidence from a large sample of young adults

IntroductionProblematic social media use (PSMU) has become a growing research topic due to its potential psychological and cognitive consequences. However, little research has examined its relationship with everyday memory functioning, particularly specific forms of memory.MethodsA sample of 943 Spanish young adults aged 18 -35 completed validated measures of PSMU, everyday memory failures, prospective memory lapses and retrospective memory lapses. Non-parametric analyses, group comparisons and mediation analyses with bootstrap resampling were conducted.ResultsHigher PSMU was associated with more frequent everyday memory failures and with greater prospective and retrospective lapses. Everyday memory failures mediated a substantial proportion of the association between PSMU and both prospective and retrospective lapses. Participants meeting the proposed clinical cutoff for PSMU reported poorer memory functioning than those below this threshold.DiscussionThese findings suggest that PSMU is associated with greater subjective memory difficulties in daily life, highlighting the relevance of everyday memory failures as a potential explanatory mechanism linking problematic social media use with prospective and retrospective memory problems.

Affect before diagnosis: applying affective neuroscience to psychiatry

Jaak Panksepp spent nearly five decades mapping the primary-process affective systems of the mammalian brain across different species, producing a framework of considerable empirical power that is functionally invisible within psychiatry. Psychiatry has not built upon that literature in human contexts. Consequently, Affect has never occupied the foundational place in psychiatry that the evidence warrants. This paper attempts to close that gap and assembles twelve converging lines of evidence for subcortical primacy of Affect, including evidence not previously synthesized for this purpose: pseudobulbar affect, gelastic and dacrystic epilepsy, double dissociation of volitional and emotional facial expression, affective blindsight, and neonatal emotional behavior. The evidence shows that Affect is generated subcortically, the cortex modulates rather than creates it, and when cortical regulation is removed or impaired, affective states persist or intensify. From this evidence, personality is best understood as an individual’s position in a configuration space defined by subcortical Affect generation parameters and cortical regulatory capacity, with psychopathology occurring when signal intensity chronically exceeds or overwhelms regulatory capacity. This framework generates a specific clinical prediction: conditions that co-occur with personality pathology at rates incompatible with independent etiology are expressions of the same affective architecture through different conditioned channels, not independent diseases. Evidence confirms this directly: when personality pathology improves, its comorbid conditions decline substantially; when it does not, they persist. Further, the affective-regulatory framework transforms the clinical encounter by replacing a character verdict with a neurobiologically grounded account in which regulatory capacity is buildable and recovery is construction rather than correction.

Comparison of the therapeutic effects of open psychiatric wards for patients with depression: a meta-analysis

ObjectiveTo systematically evaluate and compare the differences in treatment outcomes between open and closed psychiatric wards for hospitalized patients with depression, and to provide evidence-based support for optimizing psychiatric ward management models.MethodsPubMed, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang Data, and VIP Database were searched for relevant literature published from inception to December 20, 2025. Randomized controlled trials (RCTs) comparing the therapeutic effects of open versus closed psychiatric wards in hospitalized patients with depression were included. The methodological quality of included studies was assessed using the Cochrane Risk of Bias tool. Meta-analysis was performed using RevMan 5.4.ResultsA total of 9 RCTs were included. The meta-analysis showed that the open psychiatric ward group achieved better outcomes than the closed psychiatric ward group in depression symptom scores, with statistically significant differences in both the Self-Rating Depression Scale (SDS) score [MD = −3.81, 95% CI (−4.22, −3.40)] and the Hamilton Depression Rating Scale (HAMD) score [MD = −0.99, 95% CI (−1.18, −0.81)] (both P < 0.01). In terms of treatment adherence, the open ward group was higher than the closed psychiatric ward group [RR = 1.23, 95% CI (1.04, 1.47), P = 0.02]. There was no statistically significant difference between the two groups in clinical response rate [RR = 1.09, 95% CI (0.92, 1.29), P = 0.32]. Neither Egger’s regression test nor Begg’s rank correlation test indicated significant publication bias.ConclusionCompared with closed psychiatric wards, open psychiatric wards may help improve depressive symptoms and increase treatment adherence among hospitalized patients with depression; however, their effect on clinical response rate remains unclear. Future high-quality, multicenter studies are needed to further verify the efficacy and safety of open psychiatric wards.

Sexual function in women with complex PTSD: a comparative study

BackgroundPosttraumatic stress disorder (PTSD) is associated with impaired sexual functioning in women, but the effects of complex PTSD (CPTSD) remain unclear. This study tested three hypotheses: (1) women with CPTSD would report lower overall sexual function than women with PTSD and trauma-exposed controls; (2) the pain domain would show the largest group differences; and (3) CPTSD symptom severity would be negatively associated with sexual function, while PTSD symptom severity would not.MethodsA cross-sectional study included 386 Mexican female university students (18–55 years) who completed the Female Sexual Function Index (FSFI), International Trauma Questionnaire (ITQ), and Adverse Childhood Experiences Questionnaire (ACE-IQ). Group differences were assessed using ANOVA with post-hoc comparisons. Multivariable linear regressions examined whether CPTSD severity predicted sexual function independently of PTSD severity and age. A sensitivity analysis excluded women aged 45 and older.ResultsFSFI total scores differed significantly across groups (F = 3.52, p = 0.031). Women with CPTSD reported lower overall sexual function (M = 26.56, SD = 6.41) than trauma-exposed controls (M = 28.86, SD = 5.03; p = 0.047). In the pain domain, women with CPTSD reported greater sexual pain than controls (F = 6.35, p = 0.002). Multivariable regressions showed that CPTSD severity predicted lower FSFI total scores (β = -0.22, p < 0.001), independent of age and PTSD severity (adjusted R2 = 0.028). For sexual pain, the bivariate association with CPTSD (rho = -0.16, p < 0.01) did not persist after adjusting for age; age was the only significant predictor (β = 0.02, p = 0.007). Sensitivity analyses yielded unchanged results.ConclusionsCPTSD severity is associated with poorer overall sexual function, independent of age and PTSD severity. However, the association with sexual pain did not persist after accounting for age. Clinical and research implications are discussed.