Tag: Academic research

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Parsing autism spectrum heterogeneity through fMRI

Nature Neuroscience, Published online: 15 May 2026; doi:10.1038/s41593-026-02269-1

Autism is remarkably heterogeneous, posing a long-standing challenge for linking genetics to brain dynamics. A cross-species study identifies two principal dysconnectivity signatures across 20 mouse models of autism risk, each associated with distinct molecular pathways, and shows analogous connectivity patterns in autistic humans. These results establish a translational framework for biologically grounded fMRI phenotyping.

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DNA‑Guided CRISPR Suggests a New Direction for RNA Editing

CRISPR’s rise from obscure bacterial defense system to molecular scalpel has always hinged on one small component: the guide RNA. For years, that guide RNA—meticulously designed, modified, and optimized in countless labs—has been treated as an immutable feature of the system. CRISPR cuts where the RNA tells it to cut. That’s the central dogma of the system.

But a new approach suggests the system is more flexible than anyone expected. The study, published in Nature Biotechnology, is titled “DNA-guided CRISPR–Cas12 for cellular RNA targeting.”

Researchers at the University of Florida (UF) have developed the first CRISPR system that uses DNA, rather than RNA, to direct Cas enzymes to RNA targets. The platform, called ΨDNA, reprograms Cas12 nucleases to recognize and act on RNA using a DNA-based guide scaffold. The result is a fundamentally different way of controlling RNA inside cells—one “that extends Cas12 systems beyond genome editing and diagnostics to enable precise, programmable control of cellular transcriptomes and their epitranscriptomic marks,” according to the authors.

The concept is rooted in a simple biological distinction. DNA stores the cell’s long-term instructions, but RNA carries the working copies. “Those RNA copies are like Xerox copies of the original manual, and sometimes those copies have errors,” said Piyush Jain, PhD, associate professor of chemical engineering at UF and lead author of the study. Errors in those working copies can drive disease, and targeting RNA offers a way to intervene without altering the underlying genome. But RNA‑guided CRISPR systems, such as Cas13, can suffer from instability and off‑target effects. “Existing RNA-targeting CRISPR systems rely on RNA guides to find their targets,” Jain said. “While effective, they can sometimes affect unintended molecules… They can also be costly and less stable.”

ΨDNA takes a different approach. The team engineered a DNA guide that mimics the crRNA scaffold in reverse orientation, enabling AsCas12a and Cas12i1 to bind RNA and trigger strong single‑stranded DNA trans‑cleavage. As the abstract describes, “ΨDNA… enables RNA targeting by Cas12 nucleases… including 100% accurate hepatitis C virus RNA detection in clinical samples.” In human cell lines, ΨDNA achieved 70–95% knockdown of endogenous RNA transcripts, driven by mechanisms such as ribosome stalling and RNase H1 recruitment.

Jain sees the work as a conceptual shift for CRISPR. “The most meaningful advance is that we show CRISPR‑Cas12 can be reprogrammed to target RNA using a DNA guide rather than an RNA guide,” he told GEN. “That is a real conceptual shift for the field.” Until now, RNA targeting has been dominated by RNA‑guided systems. ΨDNA demonstrates that Cas12 enzymes—traditionally DNA editors—can be redirected toward RNA “while preserving strong specificity and enabling multiple functions, including RNA detection for developing diagnostics, intracellular knockdown, multiplex targeting, dual DNA and RNA targeting, and effector fusion strategies for RNA modification and potential therapeutic strategies.”

The discovery emerged from a structural puzzle. Simply swapping RNA bases for DNA bases does not work; Cas12 enzymes are thought to be tightly dependent on RNA scaffolds. “Several groups have tried to achieve DNA-guided CRISPR/Cas, but simply converting RNA bases to DNA bases doesn’t work,” Jain said. The breakthrough came from engineering a 3′ DNA handle that recreated the crRNA scaffold. Mutational screening revealed that a stem‑loop architecture was essential for activity, and recent cryo‑EM structures—solved in collaboration with David Taylor’s group at UT Austin—showed that AsCas12a has more structural flexibility than expected, allowing it to accommodate a DNA guide bound to an RNA target.

What surprised the team most was how robust the system proved to be. “It was especially exciting to see that this was not just an in vitro curiosity,” Jain said. ΨDNA worked in clinical RNA detection, achieving 100% accuracy on hepatitis C virus samples, and functioned inside cells with lower off‑target effects than Cas13d.

The platform’s modularity may be its most powerful feature. ΨDNA can be fused to RNase H1 for targeted RNA degradation or to METTL3 for epitranscriptomic editing. And because crRNA and ΨDNA can be codelivered, a single Cas12a enzyme can operate in two modes at once. “A single Cas12a effector can simultaneously edit DNA and regulate RNA,” Jain said. “This work starts to blur that boundary.”

Looking ahead, the team is expanding both the mechanistic and translational sides of the platform. They are refining guide design rules, dissecting how ΨDNA‑guided Cas12 triggers knockdown, and exploring applications in diagnostics, multiplex RNA regulation, and ex vivo therapeutic settings. One emerging direction involves using the technology to repair donor organs before transplantation.

More broadly, DNA guides offer practical advantages. They are easier to synthesize, more stable, and potentially more scalable than RNA guides. That combination could make ΨDNA a versatile platform for basic research, diagnostics, and future therapeutic engineering.

After decades of CRISPR research built around RNA‑guided systems, ΨDNA introduces a new way to direct one of biology’s most powerful tools. As Jain put it, “At its core, this is about giving us better control—not just rewriting the instruction manual but also precisely managing how those instructions are used.”

The post DNA‑Guided CRISPR Suggests a New Direction for RNA Editing appeared first on GEN – Genetic Engineering and Biotechnology News.

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How Chinese short dramas became AI content machines

In a dimly lit bedroom, a frightened young woman is thrown onto a bed by a tall, muscular man. He grabs her hand, and flame-like vines crawl across her body, fusing with her flesh. She levitates, then drops. A dragon-shaped tattoo appears across her chest.

“Two months,” the man says. “Give me an heir, or I will eat you.”

The scene is from Carrying the Dragon King’s Baby, one of the many hundreds of short dramas that appear on apps like DramaWave and ReelShort. There’s just something about this one that isn’t quite right. The lighting may be glossy and cinematic, but the show has an odd visual texture like something between a movie and a video game cutscene. 

That’s because Carrying the Dragon King’s Baby is part of a new trend for making these shows entirely with AI: no actors, camera operators, cinematographers, or CGI specialists required.

China’s short drama industry has boomed since its launch, in 2018. These ultrashort, melodramatic, and often smutty shows are designed for smartphone viewing, with episodes often running just one or two minutes long: Viewers can finish an entire series in as little as 30 minutes to an hour. The films are made for endless scrolling, packed with emotional confrontations and melodramatic plot twists. The trend’s growth is driven by apps that bombard TikTok, Instagram, and Facebook with cliffhanger-heavy ads designed to lure viewers into buying subscriptions. In 2024, China’s short drama market reached roughly $6.9 billion in revenue, surpassing the country’s annual box office earnings for the first time. 

Since 2022, Chinese short drama companies have aggressively expanded overseas, translating existing hits and producing localized series featuring local actors. Globally, short drama apps have approached a billion cumulative downloads. The United States is the biggest market outside of China, providing around 50% of the revenue, according to research firm DataEye.

Now the industry is reinventing itself. Chinese short drama companies—already masters of low-budget, algorithmically optimized entertainment—are embracing generative AI to produce content faster and cheaper than ever. An average of 470 AI-generated short dramas were released every day in January, according to DataEye. Short-drama companies like Kunlun Tech are ramping up AI productions, shrinking film crews, and reorganizing the labor pipeline from the ground up. For some studios, AI has moved from being a supporting tool to providing the backbone of production itself.

Infinite stories, infinite tropes

Short dramas are already famously low-budget. But AI has made them dramatically cheaper to mass-produce, helping to accelerate the entire process—and save money. Production timelines have collapsed. Conceptualization, script writing, casting, shooting, and editing used to take three to four months. With AI, the process can now take less than a month, says Tang Tang, vice president at short-drama platform FlexTV. Producing a short drama in North America once cost roughly $200,000, but AI can cut that cost by 80% to 90%, according to Tang.

After expanding into the US market, Chinese short drama companies largely followed the same playbook they used in China: Buy traffic aggressively on TikTok, Facebook, and YouTube; offer a handful of free episodes; then charge viewers to unlock the rest inside the companies’ apps. Decisions about what to produce next are often driven less by creative instinct than by performance data. “We look at what themes, plotlines, and writers resonate with audiences, then quickly adjust,” says Tang.

The industry operates at a relentless pace. “Everyone expects quick returns,” Tang says. “In China, if a series doesn’t break even within a month, the industry considers it a failure.” 

As a result, screenwriters who spoke with MIT Technology Review said platforms often categorize projects using highly specific keywords that encompass everything from genre and setting to plot structure, such as “campus romance,” “gang rivalry,” “enemies to lovers,” or “rags to riches.” Recently, one of the most popular genres has been “reborn revenge,” a fantasy trope in which a wronged protagonist is miraculously reborn and given a chance to change their fate.

“You kind of have to keep the emotional intensity extremely high throughout the show, using the same plot devices over and over again: sudden deaths, betrayals, physical violence, huge confrontations,” says Phoenix Zhu, a freelance short drama screenwriter based in Suzhou. “It’s common to sacrifice narrative logic for shock value, because otherwise people are more likely to scroll away.”

Those simple tropes have made the format particularly compatible with AI-generated production. Earlier this year, FlexTV halted all traditionally shot productions and shifted entirely to AI-generated dramas. Kunlun Tech, the parent company of drama apps DramaWave and FreeReels, began producing AI-generated short dramas in 2025 and now offers more than 1,000 AI titles on its platforms. StoReels, another popular short drama company targeting a global audience, has said it aims to produce 100 AI-generated dramas per month.

“People’s attention spans are getting shorter, and serialized drama naturally has to get shorter,” says Han “Daniel” Fang, the CEO of Kunlun Tech. Fang told MIT Technology Review that the company is not going to stop investing in traditionally shot short dramas with real actors. But the company is expanding AI-generated productions and gradually increasing their share on its platforms as a low-cost way to experiment with new genres, themes, and ideas. “We want to bring the amount of AI work to 20% of the platform,” Fang says.

The format is also rapidly growing overseas. Research firm Omdia estimates that the global microdrama market reached $11 billion in 2025 and will grow to $14 billion by the end of 2026. The United States is expected to generate $1.5 billion in revenue in that market this year.

“No one comes to short dramas expecting high art,” says investor Shangguan Hong, former partner of Legend Capital. “The short-drama industry already stands out from traditional TV and filmmaking by being real-time and data-driven. AI only furthers that logic. In a sense, short drama is perfectly compatible with AI.”

Inside the content machine

The industry’s AI revolution is already changing the type of roles required to make short dramas. 

Phoenix Zhu graduated from college in 2024 with a degree in philosophy. After months of rejections from traditional media and film studios, she eventually found work writing scripts for short dramas. “It was a very difficult job market for young people,” Zhu says. “I couldn’t afford to be picky about what I wrote.”

To support herself, Zhu worked a string of part-time jobs, including as a barista, a flower seller, and an event coordinator, while taking freelance writing gigs online for advertising and education companies. In April 2025, she sold her first short-drama script for around 20,000 yuan (approximately $2,945). More commissions followed, and she thought her career was finally beginning to pick up.

Then AI arrived. Two projects already in the contract stage were abruptly canceled, Zhu says. Rates across the industry began falling. The raises she expected as she gained more experience never materialized. 

Still, writers like Zhu have been among the less disrupted workers in the industry. Many production roles on traditional filming sets have disappeared almost entirely from AI-generated productions.

“We could shrink the production team down to around 10 people,” says Tang, vice president at FlexTV. Like many companies in the industry, FlexTV relies primarily on Chinese writers and production teams, even for shows featuring non-Chinese characters and targeting overseas audiences. The reason is not just lower costs, Tang says, but also that Chinese writers better understand the pacing and narrative rhythm of short dramas.

Instead of camera crews, lighting technicians, makeup artists, and visual effects teams, AI productions now rely on smaller groups consisting largely of producers, writers, AI directors, and “AI asset curators.”

An AI asset curator translates scripts into prompts and generates reference images of characters, costumes, and scenes for AI video models to follow. MIT Technology Review found hundreds of job listings for the role on Chinese job sites, many requiring little prior industry experience beyond familiarity with AI tools.

“The technology has improved enormously just in the past few months,” says Hanzhong Bai, an AI short-drama producer based in Beijing. Bai says it is common for AI asset curators to use prompts like “combine the faces of these celebrities I like” when generating characters. Studios typically use a mix of tools, including Google’s image-generation model Nano Banana, ByteDance’s Seedance, and Kuaishou’s Kling.

For producers like Bai, AI also makes it economically viable to produce genres that were previously too expensive for short dramas, especially fantasy series requiring elaborate visual effects, costumes, or makeup. “We’ll see many more dragon and mermaid shows for exactly this reason,” Bai says.

The compressed production cycle has also changed the writing process itself. Writers once had two to three months to finish a script. Now, Zhu says, platforms often expect delivery within a month. Scripts can also be rougher and more flexible, since scenes, visuals, and even plot details can be changed later through prompts.

As a result, writers increasingly have to write for AI models as much as for human audiences. Zhu says she now has to describe scenes with far greater visual specificity, effectively taking on responsibilities once handled by cinematographers or visual effects teams.

“Before AI, writing ‘He gave her a cold stare’ might have been enough,” Zhu says. “Now I might need to write, ‘Cold beams of light shot out from his eyes.’”

Fang of Kunlun Tech believes the future quality of AI-generated short dramas is ultimately a numbers game. “Good ideas and good writing still stand out,” Fang says. “The quality [of AI short drama] will improve simply because more people with strong ideas will be able to make their shows.”

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Opinion: Tributes to Craig Venter and the genomics race are missing something important

Two weeks ago, one of the most important scientists of the 20th century died. Craig Venter was a legend in genomics — a self-styled maverick who made a career of challenging institutional science and its methods and assumptions.

His most famous challenge to the scientific status quo came in the late 1990s, when his private company Celera announced it would beat the publicly funded Human Genome Project in the race to generate the first sequence of the human genome. It was one of the top science stories of the 20th century.

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Family psychoeducation to support patients with psychotic illness: two-year outcomes from a pre–post longitudinal pilot study

BackgroundPsychoeducation for families of young adults with psychosis is an evidence-based intervention that alleviates carer burden. The implementation of programming is limited, leaving family carers shouldering a heavy burden without appropriate support.ObjectiveThis pre-post longitudinal pilot study evaluated the preliminary outcomes of a psychoeducational group intervention for family carers of young adults with psychosis, aimed at building skills and reducing carer burden to support recovery in their loved ones.MethodsThe intervention, co-developed and co-facilitated by healthcare professionals and individuals with family lived experience, was delivered in Edmonton, Canada. Participants (n= 13) completed the Family Burden Interview Schedule (FBIS) at pre-intervention, post-intervention, and at 6, 12, and 24-month follow-up. Linear mixed models assessed burden scores over time.ResultsThe overall model of total burden did not reach statistical significance. Exploratory post-hoc comparisons indicated a significant total burden reduction from pre-intervention to 6-months (p = 0.032), with no other significant changes. The overall family interaction burden subscale model showed no significant effect of time. Exploratory post-hoc analyses indicated a decrease in family interaction burden from pre- to post-intervention (p = 0.026) and to 6- months (p = 0.032), with no other significant changes.ConclusionThis pilot study provides preliminary and hypothesis-generating findings suggesting a co-produced, skills- and knowledge-based psychoeducational intervention may be associated with reductions in carer burden, particularly in the domain of family relations. Given the small sample size, further research with sufficient statistical power is warranted to evaluate the long-term impact and accessibility of the intervention and inform its integration into early psychosis care.
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PSA screening for prostate cancer reduces disease-specific deaths, new review shows

Prostate-specific antigen (PSA) blood testing is likely to reduce the risk of death from prostate cancer, found a new review published on Thursday by an influential international science research organization — a shift in medical evidence that could encourage wider use. 

The Cochrane review’s first author, Juan Franco from Heinrich Heine University Düsseldorf in Germany, said at a press conference that they have “moderate certainty” that the screening test, which identifies high levels of PSA as a potential marker of prostate cancer, leads to a reduction in disease-specific deaths. The benefits are marginal: the review analyzed results from six trials involving 800,000 participants conducted in Europe and North America, and found about two fewer prostate cancer deaths for every 1,000 men screened. 

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[Comment] From policy to practice: implementing China’s measures to strengthen student mental health

In October 2025, China’s Ministry of Education issued ten national measures to strengthen mental health work in primary and secondary schools.1 These measures target major school-linked stressors such as academic pressure, physical activity, sleep, and internet use, and they call for whole-staff responsibility and cross-department collaboration. The policy signals a shift from episodic crisis response towards a public mental health agenda spanning prevention, early identification, supportive school environments, and referral pathways.

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Role of Technology Acceptance in the Telerehabilitation of Patients With Metabolic Syndrome: Longitudinal Study

<strong>Background:</strong> The advent of telerehabilitation has created new opportunities for the care of patients with metabolic syndrome. In distant rehabilitation, technology acceptance is particularly important because home-based projects are based on digital devices, and many patients are less familiar with their use. <strong>Objective:</strong> Our aim was to explore technology acceptance among patients undergoing a 3-month complex, telemedicine-supported metabolic rehabilitation. We were curious to see how different factors influence the intention to use rehabilitation technologies and how this changes through the telerehabilitation process. <strong>Methods:</strong> Participants were selected from patients in the metabolic telerehabilitation program at the university. Our model was based on the unified theory of acceptance and use of technology 2, which we supplemented with various other constructs. A paper-pencil questionnaire survey was administered on the last day of the preparatory week of the rehabilitation program (T1, n=145) and at the follow-up visit after the closing (T2, n=139). We used structural equation modeling with the least squares method to explore the relationships between model variables. Respondent segments were also identified by performing a hierarchical cluster analysis using Ward’s method. <strong>Results:</strong> Facilitating conditions (FC) have the greatest impact (0.366) on the behavioral intention (BI) to use technology. Effort expectancy has no direct effect on BI; it operates only through performance expectancy (PE), which may be because, in telerehabilitation settings, patients are more goal-driven than experience-driven. The analyses of the T2 data show that the direct impact of social influence on BI has disappeared by the end of the rehabilitation process. This can be explained by the fact that during device use, it becomes clear that the devices are secure and the data are safe, making this factor implicit in the patient’s behavior. Only 2 constructs appeared in both the T1 and T2 models: PE and FC. By comparing the 2 datasets, we have provided empirical support for an old hypothesis: the experience of using the tool for a time has led to a significant reduction in the impact of FC and a corresponding increase in the dominance of PE, which has “absorbed” the impact of some other constructs. Based on respondents’ attitudes, we found 3 clusters. The telerehabilitation program itself has a significant impact on patients’ BI, as the relative share of “enthusiastic users” (73/145, 50.3%) increased by about 20%, while the share of “distrustful reluctants” (25/145, 17.2%) decreased to a quarter by the end of the program. <strong>Conclusions:</strong> This behavior-based functional approach enables treatments to be tailored to actual technology-use demands rather than to presumptive societal features. This means that before beginning rehabilitation, attempts should be undertaken to identify patients’ clusters in clinical practice, and rehabilitation should be planned according to the individual’s attitude toward technology.
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HIV and Substance Use Reduction for Youth Experiencing Homelessness: Development and Usability Study

Background: Youth experiencing homelessness face heightened vulnerability to HIV infection and substance use due to complex structural, psychosocial, and behavioral factors. Despite increased mobile phone access among youth experiencing homelessness, few mobile health interventions have been tailored to their unique needs, and even fewer have applied behavioral theory to inform message development. Objective: This study aimed to develop and refine theory-driven, tailored HIV prevention and substance use reduction messages for use in a just-in-time adaptive intervention app, MY-RIDE (Motivating Youth to Reduce Infections, Disconnections, and Emotional dysregulation), designed for youth experiencing homelessness aged 18 to 25 years. Methods: This study was conducted in 4 phases: prevention messages were developed and pilot-tested in 2018 (phase 1), revised and expanded using the experience and expertise of content experts and the study team (phase 2), reviewed for relevance and acceptability by youth experiencing homelessness in 2024 (phase 3), and supplemented with messages generated using an artificial intelligence (AI) tool (phase 4). Results: Phase 1 resulted in the development of 386 intervention messages across 7 content categories: sex urge, drug and alcohol urge, stress, drug use, recent sexual activity, recent sexual assault, and general motivational messages. During phase 2, the study team expanded the message library to 888 messages across 10 categories. During phase 3, the youth working group liked 93% (803/864) of messages reviewed, which were categorized as acceptable for the intervention. Disliked messages were discarded and replaced with messages generated by an AI tool in phase 4. Conclusions: The finalized set of intervention messages was integrated into the MY-RIDE app to support personalized, real-time intervention delivery. Codeveloping messages with youth experiencing homelessness and leveraging AI tools proved feasible and effective for tailoring HIV prevention and substance use content. This approach supports scalable mobile health interventions for marginalized populations and informs future efforts to design engaging, theory-based digital health strategies. A randomized controlled trial of the MY-RIDE intervention is underway. Trial Registration: ClinicalTrials.gov NCT06074354; https://clinicaltrials.gov/study/NCT06074354
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