STAT+: CDC plans to transfer monkeys to nonprofit’s sanctuary as it seeks to reduce animal testing

As part of efforts to phase out the use of monkeys in research, the Centers for Disease Control and Prevention intends to transfer more than 160 macaques to Born Free USA, a nonprofit that runs a large primate sanctuary in Texas.

The agency is trying to move quickly due to the “unusual and compelling urgency” of finding housing for the monkeys, according to a notice about the proposed contract that was posted on a procurement website run by the General Services Administration.

A timeline for the transfer was not specified, but the agency is accepting responses until May 28.

Continue to STAT+ to read the full story…

The shock of seeing your body used in deepfake porn 

When Jennifer got a job doing research for a nonprofit in 2023, she ran her new professional headshot through a facial recognition program. She wanted to see if the tech would pull up the porn videos she’d made more than 10 years before, when she was in her early 20s. It did in fact return some of that content, and also something alarming that she’d never seen before: one of her old videos, but with someone else’s face on her body.

“At first, I thought it was just a different person,” says Jennifer, who is being identified by a pseudonym to protect her privacy. 

But then she recognized a distinctly garish background from a video she’d shot around 2013, and she realized: “Somebody used me in a deepfake.”

Eerily, the facial recognition tech had identified her because the image still contained some of Jennifer’s features—her cheekbones, her brow, the shape of her chin. “It’s like I’m wearing somebody else’s face like a mask,” she says. 

“It’s like I’m wearing somebody else’s face like a mask.”

Conversations about sexualized deepfakes—which fall under the umbrella of nonconsensual intimate imagery, or NCII—most often center on the people whose faces are featured doing something they didn’t really do or on bodies that aren’t really theirs. These are often popular celebrities, though over the past few years more people (mostly women and sometimes youths) have been targeted, sparking alarm, fear, and even legislation. But these discussions and societal responses usually are not concerned with the bodies the faces are attached to in these images and videos.

As Jennifer, now 37 and a psychotherapist working in New York City, says: “There’s never any discussion about Whose body is this?” 

For years, the answer has generally been adult content creators. Deepfakes in fact earned their name back in November 2017, when someone with the Reddit username “deepfakes” uploaded videos showing faces of stars like Scarlett Johansson and Gal Gadot pasted onto porn actors’ bodies. The nonconsensual use of their bodies “happens all the time” in deepfakes, says Corey Silverstein, an attorney specializing in the adult industry. 

But more recently, as generative AI has improved, and as “nudify” apps have begun to proliferate, the issue has grown far more complicated—and, arguably, more dangerous for creators’ futures. 

Porn actors’ bodies aren’t necessarily being taken directly from sexual images and videos anymore, or at least not in an identifiable way. Instead, they are inevitably being used as training data to inform how new AI-generated bodies look, move, and perform. This threatens the livelihood and rights of porn actors as their work is used to train AI nudes that in turn could take away their business. And that’s not all: Advancements in AI have also made it possible for people to wholly re-create these performers’ likenesses without their consent, and the AI copycats may do things the performers wouldn’t do in real life. This could mean their digital doubles are participating in certain sex acts that they haven’t agreed to do, or even that they’re perpetrating scams against fans. 

Adult content creators are already marginalized by a society that largely fails to protect their safety and rights, and these developments put them in an even more vulnerable position. After Jennifer found the deepfake featuring her body, she posted on social media about the psychological effects: “I’ve never seen anyone ask whether that might be traumatic for the person whose body was used without consent too. IT IS!” Several other creators I spoke with shared the mental toll that comes with knowing their bodies have been used nonconsensually, as well as the fear that they’ll suffer financially as other people pirate their work. Silverstein says he hears from adult actors every day who “are concerned that their content is being exploited via AI, and they’re trying to figure out how to protect it.” 

One law professor and expert in violence against women calls these creators the “forgotten victims” of NCII deepfakes. And several of the people I spoke with worry that as the US develops a legal framework to combat nonconsensual sexual content online, adult actors are only at risk of further injury; instead of helping them, the crackdown on deepfakes may provide a loophole through which their content and careers could be stripped from the internet altogether.

How deepfakes cause “embodied harms”

During his preteen years in the 1970s, Spike Irons, now a porn actor and president of the adult content platform XChatFans, was “in love” with Farrah Fawcett. Though Fawcett did not pose nude, Jones managed to get his hands on what looked like pictures of her naked. “People were cutting out faces and pasting them on bodies,” Irons says. “Deepfakes, before AI, had been going around for quite a while. They just weren’t as prolific.”

The early public internet was rife with websites capitalizing on the idea that you could use technology to “see” celebrities naked. “People would just use Microsoft Paint,” says Silverstein, the attorney. It was a simple way to mash up celebrities’ faces with porn. 

People later used software like Adobe After Effects or FakeApp, which was designed to swap two individuals’ faces in images or videos. None of these programs required serious expertise to alter content, so there was a low barrier to entry. That, plus the wealth of porn performers’ videos online, helped make face-swap deepfakes that used real bodies prevalent by the 2010s. When, later in the decade, deepfakes of Gal Gadot and Emma Watson caused something of a broader panic, their faces were allegedly swapped onto the bodies of the porn actors Pepper XO and Mary Moody, respectively.

But it wasn’t just high-profile actors like them whose bodies were being used. Jennifer was “a very minor performer,” she says. “If it happened to me, I feel like it could happen to anybody who’s shot porn.” Since he started his practice in 2006, Silverstein says, “numerous clients” have reached out to report “This is my body on so-and-so.” 

Both people whose faces appear in NCII deepfakes and those whose bodies are used this way can feel serious distress. Experts call this type of damage “embodied harms,” says Anne Craanen, who researches gender-based violence at the UK’s Institute for Strategic Dialogue, an organization that analyzes extremist content, disinformation, and online threats. 

The term reflects the fact that even though the content exists in the virtual realm, it can cause physiological effects, including body dysmorphia. The face-swapped entity occupies the uncanny valley, distorting self-perception. After discovering their faces in sexual deepfakes, many people feel silenced, experts told me; they may “self-censor,” as Craanen puts it, and step back from public-facing life. Allison Mahoney, an attorney who works with abuse survivors, says that people whose faces appear in NCII can experience depression, anxiety, and suicidal ideation: “I’ve had multiple clients tell me that they don’t sleep at night, that they’re losing their hair.” 

Independent creators aren’t just “having sex on camera.” For someone to rip off their work “for their own entertainment or financial gain fucking sucks.”

Though the impact on people whose bodies are used hasn’t been discussed or studied as often, Jennifer says that “it’s just a really terrible feeling, knowing that you are part of somebody else’s abuse.” She sees it as akin to “a new form of sexual violence.”

The uncertainty that comes with not being aware of what your body is doing online can be highly unsettling. Like Jennifer, many adult actors don’t really know what’s out there. But some devoted followers know the actors’ bodies well—often recognizing tattoos, scars, or birthmarks—and “very quickly they bring [deepfakes] to the adult performer’s attention,” says Silverstein. Or performers will stumble upon the content by chance; some 20 years ago, for instance, the first such client to tell Silverstein her body was being used in a deepfake happened to be searching Nicole Kidman online when she found that one of the results showed Kidman’s face on her porn. “She was devastated, obviously, because they took her body,” he says, “and they were monetizing it.” 

Otherwise, this imagery may be found by an organization like Takedown Piracy, one of several copyright enforcement companies serving adult content creators. US copyright violations can be challenging to prove if someone’s body lacks distinguishing features, says Reba Rocket, Takedown Piracy’s chief operating and marketing officer. But Rocket says her team has added digital fingerprinting technology to clients’ material to help flag and remove problematic videos, often finding them before clients realize they’re online. 

By capturing “tens of thousands of tiny little visual data points” from videos, digital fingerprinting creates unique corresponding files that can be used to identify them, Rocket says—kind of like an invisible watermark. The prints remain even if pirates alter the videos or replace performers’ faces. Takedown Piracy has digitally fingerprinted more than half a billion videos and the organization has gotten 130 million copyrighted videos taken down from Google alone (though, of those videos, Rocket hasn’t tracked how many of these specifically include someone else’s face on a performer’s body). 

Besides copyright, a range of legal tools can be used to try and combat NCII, says Eric Goldman, a law professor at Santa Clara University. For example, victims can claim invasion of privacy. But using these tools isn’t particularly straightforward, and they may not even apply when it comes to someone’s body. If there aren’t, for instance, unique markers indicating that a body in a deepfake belongs to the person who says it does, US law “doesn’t really treat [this content] as invasion of privacy,” Goldman says, “because we don’t know who to attribute it to.”

In a 2018 study that reviewed “judicial resolution” of cases involving NCII, Goldman found that one successful way plaintiffs were able to win cases was to assert “intentional affliction of emotional distress.” But again, that hinges on the ability to clearly identify the person in the content. Relevant statutes, he adds, might also require “intent to harm the individual,” which may be hard to show for people whose bodies alone are featured.

“AI girls will do whatever you want”

In the last few years, Silverstein says, it’s become less and less common to see the bodies of real adult content creators in deepfakes, at least in a way that makes them clearly identifiable. 

Sometimes the bodies have been manipulated using AI or simpler editing tools. This can be as basic as erasing a birthmark or changing the size of a body part—minor edits that make it impossible to identify someone’s image beyond a reasonable doubt, so even porn actors who can tell that an altered image used their body as a base won’t get very far in the legal realm. “A lot of people are like, That looks like my body,” says Silverstein, but when he asks them how, they’ll reply, It just does

At the same time, other users are now creating NCII with wholly AI-generated bodies. In “nudify” apps, anyone with a minimal grasp of technology can upload a photo of someone’s clothed body and have it replaced with a fake naked one. “So [much] of this content being created is just someone’s face on an AI body,” Silverstein says.

Such apps have drawn a ton of attention recently, from Grok “nudifying” minors to Meta running ads for—and then suing—the nudify app Crushmate. But there’s been relatively little attention paid to the content being used to train them. They almost certainly draw on the more than 10,000 terabytes of online porn, and performers have virtually zero recourse. 

One reason is that creators aren’t able to demonstrate with any certainty that their content is being used to train AI models like those used by nudify apps. “These things are all a black box,” says Hany Farid, a professor at the University of California, Berkeley, who specializes in digital forensics. But “given the ubiquity” of adult content, he adds, it’s a “reasonable assumption” that online porn is being used in AI training. 

“It’s just not at all difficult to come up with pornographic data sets on the internet,” says Stephen Casper, a computer science PhD student at MIT who researches deepfakes. What’s more, he says, plenty of shadowy online communities provide “user guides” on how to use this data to train AI, and in particular programs that generate nudes. 

It’s not certain whether this activity falls within the US legal definition of “fair use”—an issue that’s currently being litigated in several lawsuits from other types of content creators—but Casper argues that even if it does, it’s ethically murky for porn created by consenting adults 10 years ago to wind up in those training data sets. When people “have their stuff used in a way that doesn’t respect or reflect reasonable expectations that they had at that time about what they were creating and how it would be used,” he says, there’s “a legitimate sense in which it’s kind of … nonconsensual.” 

Adult performers who started working years ago couldn’t possibly have consented to AI anything; Jennifer calls AI-related risks “retroactively placed.” Contracts that porn actors signed before AI, adds Silverstein, might provide that “the publisher could do anything with the content using technology that now exists or here and after will be discovered.” That felt more innocuous when producers were talking about the shift from VHS to DVD, because that didn’t change the content itself, just the way it was conveyed. It’s a far different prospect for someone to use your content to train a program to create new content … content that could replace your work altogether. 

Of course, this all affects creators’ bottom line—not unlike the way Google’s AI overviews affect revenue for online publishers who’ve stopped getting clicks when people are content with just reading AI-generated summaries. Performers’ “concern is … it’s another way to pirate [their] content,” says Rocket. 

After all, independent creators aren’t just “having sex on camera,” as the adult content creator Allie Eve Knox says. They’re paying for filming equipment and location rentals, and then spending hours editing and marketing. For someone to then rip off and distort that content “for their own entertainment or financial gain,” she says, “fucking sucks.” 

KIM HOECKELE

Tanya Tate, a longtime adult content creator, tells me about another highly unsettling AI-created situation: She was recently chatting with a fan on Mynx, a sexting app, when he asked her if she knew him. She told him no, and “his eyes just started watering,” Tate says. He was upset because he thought she did know him. Turns out he’d sent $20,000 to a scammer who’d used an AI-generated deepfake of Tate to seduce him. 

Several men, Tate subsequently learned, had been scammed by an AI version of her, and some of them began blaming her for their losses and posting false statements about her online. When she reported one particularly aggressive harasser to the police, they told her he was exercising his “freedom of speech,” she says. Rocket, too, is familiar with situations where AI is used to take advantage of fans. “The actual content creator will get nasty emails from these people who’ve been scammed,” she says.

Other porn actors say they fear that their likenesses have been used without consent to do other things they wouldn’t do. One, Octavia Red, tells me she doesn’t do anal scenes, “but I’m sure there’s tons of deepfake anal videos of me that I didn’t consent to.” That could cost her, she fears, if viewers choose to watch those videos instead of subscribing to her websites. And it could cause fans to develop false expectations about what kind of porn she’ll create.

“I saw one AI creator saying, ‘Well, AI girls will do whatever you want. They don’t say no,’” says Rocket. “That horrifies me … especially if they’re training those AI models on real people. I don’t think they understand the damage to mental health or reputation that that can create. And once it’s on the internet, it’s there forever.” 

Efforts to “scrub adult content from the internet”

As AI technology improves, it’s increasingly difficult for people to discern any type of real video from the best AI-generated ones on their own. In one 2025 study, UC Berkeley’s Farid found that participants correctly identified AI-generated voices about 60% of the time (not much better than random chance), while advances like false heartbeats make AI-generated humans tougher than ever to spot.

Nevertheless, most lawyers and legal experts I spoke with said copyright laws are still adult performers’ best bet in the US legal system, at least for getting their face-swapped content taken down. For his clients, Silverstein says, he tries to figure out the content’s origins and then issue takedown requests under the Digital Millennium Copyright Act, a 1998 law that adapted copyright law for the internet era. “Even recently, I had a performer who has an insanely well-known tattoo,” he says, and with a DMCA subpoena he managed to identify the poster of the content, who voluntarily removed it. 

But this way of working is becoming increasingly rare.

These days it’s nearly “impossible,” Silverstein says, to determine who produced a deepfake, because many platforms that host pirated content operate facelessly. They’re also often based in places that “don’t really care about US law when it comes to copyrights,” says Rocket—places like Russia, the Seychelles, and the Netherlands. 

While governments in the EU, the UK, and Australia have said they will ban or restrict access to nudify apps, it’s not an easily executed proposition. As Craanen notes, when app stores remove these services, they often simply reappear under different names, providing the same services. And social platforms where people share NCII deepfakes, argues Rocket, are slacking in getting them removed. “It’s endless, and it’s ridiculous, because places like Twitter and Facebook have the same technology we do,” Rocket says. “They can identify something as an infringement instantly, but they choose not to.”

(Apple spokesperson Adam Dema emailed, “’nudification’ apps are against our guidelines” in the app store, and it has “proactively rejected many of these apps and removed many others,” flagging a reporting portal for users. A Google spokesperson emailed, “Google Play does not allow apps that contain sexual content,” noting it takes “proactive steps to detect and remove apps with harmful content” and has suspended hundreds of apps for violating its policy. Meta spokesperson shared a blog post about actions it’s taken against nudify apps, but did not respond to follow-up questions about copyrighted material. X did not respond to a request for comment.)

As porn performers are forced to navigate AI-related threats, the only current federal law to address deepfakes may not help them much—and could even make matters worse. The Take It Down Act, which became US law last year, criminalizes publishing NCII and requires websites to remove it within 48 hours. But, as Farid notes, people could weaponize the measure by reporting porn that was made legally and with consent and claiming that it’s NCII. This could result in the content’s removal, which would hurt the performers who made it. Santa Clara’s Goldman points to Project 2025, the Heritage Foundation’s policy blueprint for the second Trump administration, which aims to wipe porn from the web. The Take It Down Act, he argues, “allows for the coordinated effort to scrub adult content from the internet.” 

US lawmakers have a history of hurting sex workers in their attempts to regulate explicit content online. State-level age verification laws are an example; visitors can pretty easily get around these measures, but they can still result in reduced revenue for adult performers (because of lower traffic to those sites and the high price of age-checking services they have to purchase). 

“They’re always doing something to fuck with the porn industry, but not in a way that actually helps sex workers,” says Jennifer. “If they do something, they’re taking away your income again—as opposed to something like giving you more rights to your image, [which] would be tremendously helpful.” 

But as generative AI plays an increasingly large role in NCII deepfakes, the types of images to which adult performers have rights moves deeper into a gray area. Can actors lay claim to AI images likely trained on their bodies? How about AI-generated videos that impersonate them, like the one that tricked Tanya Tate’s fan?

The biggest challenge will be creating “legitimate, effective laws that will absolutely protect content creators from abusing their likeness to train and create AI,” Rocket says. “Absent that, we’re just going to have to keep pulling content down from the internet that’s fake.”

In the meantime, a few porn actors tell me, they’re trying to take advantage of copyright laws that weren’t really made for them; they’ve signed with platforms that host their AI-generated duplicates, with whom fans pay to chat, in part so they’ll have contracts that protect ownership of their AI likenesses. When I spoke with the actor Kiki Daire in September 2025 for a story on adult creators’ “AI twins,” she said she “own[ed] her AI” because she’d signed a contract with Spicey AI, a site that hosted AI duplicates of adult performers. If another company or person created her AI-generated likeness, she added, “I have a leg to stand on, as far as being able to shut that down.”  

Even this, though, is not a sure thing; Spicey AI, for instance, shut down several months after I spoke with Daire, so it’s unlikely that her contract would hold. And when I spoke in October with Rachael Cavalli, another adult actor who had signed with an AI duplicate site in hopes it’d help protect her AI image, she admitted, “I don’t have time to sit around and look for companies that have used my image or turned something into a video that I didn’t actually do … it’s a lot of work.” In other words, having rights to your AI image on paper doesn’t make it easier to track down all the potentially infinite breaches of those rights online.

If she’d known what she knows about technology today, Jennifer says she doesn’t think she would have done porn. The risks have increased too much, and too unpredictably. She now does in-person sex work; it’s “not necessarily safer,” she says, “but it’s a different risk profile that I feel more equipped to manage.” 

Plus, she figures AI is unlikely to replace in-person sex workers the way it could porn actors: “I don’t think there’s going to be stripper robots.” 

Jessica Klein is a Philadelphia-based freelance journalist covering intimate partner violence, cryptocurrency, and other topics.

Why AI Alone Isn’t Enough for Oligonucleotide Discovery

AI is reshaping drug discovery, and nucleic acid–based medicines, including mRNAs, gene therapy, and oligonucleotide therapeutics, are no exception. By optimizing sequences and chemical modifications for experimental testing, AI accelerates discovery timelines, which  is particularly critical for oligo therapeutics, a modality central to the n=1 rare diseases, which afflict mostly young patients for whom there is additional urgency.

However, a familiar caveat remains: AI is only as powerful as the data from which it learns. How can we provide enough high-quality input data to fuel this engine and design next-generation precision medicine?

A typical workflow for developing an AI-powered oligo predictive model begins with collecting experimental outcomes of oligo sequences, with each sequence annotated using a defined set of features. This data is then used to train AI models that identify patterns associated with improved activity and safety.

However, as is often the case with pioneering technologies such as oligonucleotides, the scarcity of data is a major problem. To overcome this limitation, scientists trawl public resources such as publications and patents to extract this data. ASOptimizer, OligoAI, and eSkip-Finder are examples of newer oligo-predicting AI models that are trained using publicly available data.

While these models are advancing in the right direction, relying primarily on this data comes with several disadvantages, such as:

  • inconsistent experimental conditions between the datasets,
  • limited diversity in sequences and chemistries,
  • lack of negative data, and
  • insufficient coverage of critical information such as toxicity and off-target effects.

Furthermore, since data sourcing and annotating often require the use of automated, AI-powered tools, there is a risk of mislabeling and misinterpretation. As such, correlation statistics between predicted and experimental values for these models are not too high, generally hovering between 0.4 and 0.7.1,2, 3

Building the data foundation for AI drug discovery

The most valuable training data is:

  • designed to span broad chemical space and probe critical safety features,
  • produced under controlled conditions,
  • consistently processed and annotated, and
  • generated in a controlled environment, ideally internally.

Large-scale screening campaigns are essential in that context as they provide the dense, reliable, datasets required to train AI models and extract meaningful insights for sequence and chemistry prediction.

Ming Wang, PhD
Ming Wang, PhD

Brett Monia, CEO of Ionis Pharmaceuticals, describes this reality as “hard, brutal screening–screening a lot of oligonucleotides with different decorations, different amounts of chemistries, different sequences. We have plenty of (design) rules, but we still don’t have enough.”4

One way to address this challenge is through intentional screening design: deliberately varying sequence motifs and positional chemistries within screening libraries to systematically explore chemical landscapes and expand the empirical foundation on which both rules and AI models are built.

With the advent of faster and more affordable transcriptomic technologies, high-throughput RNA-seq can now be incorporated into oligonucleotide screening workflows. This method enables the systematic detection of off-target effects, including those that arise through mechanisms beyond straightforward.5,6

While these approaches generate large and complex datasets, they represent a critical investment—one that lays the foundation for a faster, more efficient, and ultimately more cost‑effective future of oligo discovery.

Digital infrastructure, engineering AI-ready data at scale

While generating large datasets may be hard and brutal, managing, curating, and analyzing them doesn’t need to be. For data to be truly reliable and trustworthy, quality must be engineered from the start. Important aspects to consider include:

  • A single source of truth–a centralized FAIR data repository, where all data is systematically stored and governed for controlled access and use;
  • Comprehensive metadata capture, including protocols, batch numbers, and reagent references to ensure results can be interpreted correctly and are not driven by experimental artifacts;
  • Automated quality control and data analysis of large screens for large‑scale screens, ensuring consistent, efficient, and reproducible data processing; and
  • Consistent ontology and nomenclature for oligo sequences and their chemistries, as exemplified by Roche’s open-source tool (HelmShaker) for translating molecules into HELM notation.

In practice, these principles are implemented through integrated digital infrastructures that combine molecular registration systems with automated analytics across diverse experimental modalities such as high‑throughput screening, next‑generation sequencing, mass spectrometry, and chromatography.

Such approaches are increasingly used across the pharmaceutical and biotechnology sectors to manage oligonucleotide ADME, process development, and screening data, thus helping teams maintain data integrity and continuity throughout the oligo discovery and development lifecycle.

AI promises to redefine what is possible in oligo discovery, and the field is already beginning to see its impact. But AI alone is not the breakthrough—data is. Only large, high‑quality experimental datasets, generated intentionally and prospectively, can unlock AI’s full predictive power.

Organizations that invest early in both systematic data generation and robust data infrastructure will be best positioned to lead the next wave of oligonucleotide discovery. This shift is especially urgent for n = 1 rare diseases, where speed, precision, and learning from every experiment can make the difference between possibility and progress.

Ming Wang, PhD, is scientific business manager at Genedata.

References:

1Hwang, G., Kwon, M., Seo, D., Kim, DH., Lee, D., Lee, K., Kim, E., Kang, M., Ryu, JH., ASOptimizer: Optimizing antisense oligonucleotides through deep learning for IDO1 gene regulation. Mol Ther Nucleic Acids. 2024 Apr 6;35(2):102186. doi: 10.1016/j.omtn.2024.102186

2Chiba, S., Lim, KRQ., Sheri, N., Anwar, S., Erkut, E., Shah, MNA., Aslesh, T., Woo, S., Sheikh, O., Maruyama, R., Takano, H., Kunitake, K., Duddy, W., Okuno, Y., Aoki, Y., Yokota, T. eSkip-Finder: a machine learning-based web application and database to identify the optimal sequences of antisense oligonucleotides for exon skipping. Nucleic Acids Res. 2021 Jul 2;49(W1):W193-W198. doi: 10.1093/nar/gkab442

3Hill, B., Jaques, M.R., Nair, RR., Whiffin, N., Wood, MJA., Sanders, SJ., Oliver, PL., Hill, AC., Rinaldi, C. Accurately modelling RNase H-mediated antisense oligonucleotide efficacy. bioRxiv. 2025 Oct 30. https://doi.org/10.1101/2025.10.29.685292

4Accelerating Oligonucleotide Therapeutics. Evotec eBook.

5Pekker, D., Kuntz, S., McArthur, M., Nicholson-Shaw, T., Yanke, S., Mukhopadhyay, S. A Dose-Response Model for Accurate Detection and Quantification of Transcriptome-Wide Gene Knockdown for Oligonucleotide-Based Medicines. bioRxiv. 2024 May 29. https://www.biorxiv.org/content/10.1101/2024.05.28.596270v1.full.pdf

6In-silico siRNA Off-Target Predictions: What Should We Be Looking For? OTS Oligonucleotide Therapeutics Society, Webinar, 2024 May 2

 

 

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Cellares and ProTgen Automate Manufacturing of Progenitor T-Cell Therapy for Blood Cancer

Cellares, an Integrated Development and Manufacturing Organization (IDMO) that combines automated manufacturing platforms with global Smart Factory infrastructure, and ProTgen, a therapeutic company pioneering targeted Notch activators to reactivate the thymus and reconstitute the adaptive immune system, have announced a partnership to automate manufacturing and quality control of ProT-096, ProTgen’s personalized progenitor T-cell therapy for patients with refractory leukemia and other hematologic malignancies. In this collaboration, Cellares will apply the company’s Cell Shuttle and Cell Q platforms to ProT-096 while providing regulatory support toward IND submission.  

Fabian Gerlinghaus, co-founder and CEO of Cellares, says hematologic malignancies have waited too long for cell therapy to deliver on its promise, with manufacturing complexity being one of the main bottlenecks. ProT-096 represents “exactly the kind of innovative program” for which Cellares was founded. 

“Early-stage developers should not have to choose between advancing their science and securing the manufacturing foundation they need to scale,” said Gerlinghaus. “By automating the manufacturing process and providing regulatory expertise toward IND submission, we can help ProTgen move faster and with greater confidence toward the clinic.” 

Patients with refractory hematologic malignancies often face a compromised immune system following intensive treatment. While ProT-096 mandates precision manufacturing at scale, achieving the reproducibility, process consistency, and cost efficiency needed to support clinical development requires advanced manufacturing approaches. 

Cell Shuttle’s automated, end-to-end manufacturing workflow reduces manual touchpoints, minimizes variability, and enables standardized execution across runs, equipment, and facilities. Combined with Cell Q, the workflow is designed to meet the demands of clinical- and commercial-scale production while maintaining quality standards for GMP manufacturing. The partnership also adds personalized progenitor T cells to Cellares’ platform capabilities across CAR T-cell therapies and HSC programs. 

ProTgen’s proprietary targeted Notch activator platform programs cell fate both in vivo and ex vivo. The company’s initial focus is to reactivate the thymus and rebuild a diverse, functional immune repertoire for patients with compromised or aging immune systems. 

Carter Cliff, CEO of ProTgen says ProT-096 represents a new approach to immune reconstitution, with the potential to address a significant unmet need for patients whose immune systems have been severely compromised by hematologic malignancy and prior treatment. 

“This partnership allows us to pair our targeted Notch activator platform with an automated, scalable manufacturing foundation designed to support the path toward IND submission and, ultimately, clinical development,” he said. 

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ASGCT 2026: Victoria Gray Roadshow Returns to Boston

BOSTON – The annual American Society of Cell and Gene Therapy (ASGCT) conference got underway in Boston this week with a guest appearance by one of gene therapy’s greatest ambassadors and patient advocates.

Victoria Gray, the sickle cell warrior who was successfully treated in the exa-cel clinical trial sponsored by Vertex Pharmaceuticals/CRISPR Therapeutics seven years ago, spoke in an evening workshop organized by the Emily Whitehead Foundation and ScaleReady.

Boston is becoming a regular stomping ground for Victoria. Last November, she spoke at the Genetic Agency Technology Conference, hosted by Dyno Therapeutics. Last month, she finally received an invitation to visit the headquarters of Vertex and speak in a town hall meeting.

In an extemporaneous 20-minute speech, Victoria talked about her lifelong journey with sickle cell disease (SCD). She recalled her first major pain crisis, when she was a young girl—a lightning-type pain that began in one arm before traveling across her chest and down the other arm. “In minutes, my entire body was engulfed in pain,” she said. “The pain felt like getting struck by lightning and hit by a truck. It took me to the floor.” Her grandmother provided hot towels and Tylenol, but nothing worked—not even prayer. After a week in hospital, Victoria returned home but still felt fatigued.

Stricken by regular pain crises, a hallmark of SCD, Victoria encountered numerous disappointments growing up. Her hematologist said she could not join the cheer team. In eighth grade, she was told she could not join the basketball team, because the exertion would provoke a pain crisis. “As a kid, I was like a Timex: I could take a licking and keep on ticking,” she joked.

In high school, she signed up to join the United States Navy. “I wanted to serve my country,” Victoria recalled. As she was preparing for basic training, she learned that her disease prevented her from enrolling. “So that was another dream lost.” Next, she turned her attention to nursing. Victoria graduated high school in 2003, but it took another seven years before she could qualify for a nursing program. “Professors didn’t understand because I looked whole and complete. They didn’t think I was sick.”

In 2010, just before Halloween, Victoria had the worst pain crisis of her life, stripping her ability to walk or use her arms to feed herself. “I couldn’t do anything, facing some of the worst pain of my life. I was getting strong pain medicines like Dilaudid, ketamine, but still couldn’t move. Pain had taken over my thoughts.” Unable to sleep or even take a nap, Victoria was desperate to go home to her family.

Later, she asked the doctors if they had heard about a haplo-bone marrow transplant (BMT). “I can’t continue living like this,” she said. The doctors looked at each other and said no. After weeks of prayer, Victoria received a call from her hematologist. “Victoria, I have good news, but I only want to tell you in person.” For the first time in her adult life, Victoria was excited about a doctor’s appointment.

She traveled to Nashville with her brother, who would be her BMT donor, and her husband. She met Haydar Frangoul, MD, whom Victoria calls, “the nicest doctor that I’ve met in my adult life.” Frangoul told her: “Victoria, I wish I had met you ten years ago!’

Although Victoria’s brother was a suitable BMT match, Victoria was scared of the possibility of graft vs. host disease (GVHD). “My purple pill basket was filled to the brim with medicine every day. If I would acquire [GVHD], that basket would have to triple in size.”

 

“I’m a human!”

On her next visit to Nashville, she had to extend her stay because of another pain crisis. But that stay changed her life. Frangoul sat next to her bedside. “Victoria, have you ever heard of CRISPR?” he asked. Victoria shook her head.

Frangoul used a typo-in-a-textbook analogy and reassured Victoria that there was no chance of GVHD, because she would be receiving her own modified stem cells. “You’ll be the first person to do this, Victoria,” he said. “First human?” she asked. “Yes,” Frangoul said, “but it’s been tested in primates.”

“But I’m a human!” she said.

After being reassured that she could still try a bone marrow transplant if the procedure did not work, Victoria agreed to move forward. The chemotherapy, was “hell on Earth,” she recalled. “I lost my hair, which I was prepared for, but the mucositis, the sores in my mouth, the inability to eat for two weeks, was gruesome.”

Victoria swallowed her tears and decided to fight. This was the first time she had been in the hospital by her choice, to live for her children. About eight months after receiving her CRISPR-edited stem cells in July 2019, she woke up one morning, not feeling anything. “Oh my God, I’m dead,” she thought. She called her kids into the room and hugged them, slowly realizing that “this is what normal feels like.” For the first time in more than 25 years, Victoria did not have any pain in her lower back and hips. She was able to breathe deeply without wincing.

A few years after her therapy, Victoria was finally able to take her first ever flight, to Washington D.C. to visit her husband, who was on deployment. “It was the first time that I was ever able to show up for the man who has shown up for me,” she said. She has since watched her daughter dance in a Christmas parade and supported her son playing high school football. “The little things have brought me great joy,” she said.

Her second flight was a business class trip to London with her husband in March 2023, where she spoke at the third International Summit on Human Genome Editing. “I got to keep my covenant that I made with God, that God, if you do this for me, I would tell the world about what you did.”

Victoria welcomed her first granddaughter on Christmas Eve, 2024. Next week, another milestone: she will be in the audience as her twins graduate high school. And next month, she will publish a children’s book called Hema’s Journey, the tale of her inspiring journey with CRISPR gene therapy. She’s currently training for a group effort to climb Mt. Kilimanjaro.

Perhaps at next year’s ASGCT conference in Philadelphia, she will be invited to present in a plenary session on the main stage. It would be hard to think of a more fitting speaker.

The post ASGCT 2026: Victoria Gray Roadshow Returns to Boston appeared first on GEN – Genetic Engineering and Biotechnology News.

Early Detection of Alzheimer’s Disease and Related Dementias From Spontaneous Speech Using Foundation Speech and Language Models: Comparative Evaluation

<strong>Background:</strong> Alzheimer’s disease and related dementias (ADRD) are progressive neurodegenerative conditions where early detection is critical for timely intervention and care planning. However, current diagnostic methods are often inaccessible, costly, and delayed, especially for underserved populations. There is a growing need for scalable, noninvasive tools that can support timely diagnosis. Spontaneous speech contains rich acoustic and linguistic markers that can serve as noninvasive behavioral markers for cognitive decline. Foundation models, pretrained on large-scale audio or text data, generate high-dimensional embeddings that encode rich contextual and acoustic information. <strong>Objective:</strong> This study benchmarks open-source foundation language and speech models to evaluate their effectiveness in detecting ADRD from spontaneous speech as a potential solution for early, noninvasive, and scalable ADRD detection. <strong>Methods:</strong> In this study, we used the Pioneering Research for Early Prediction of Alzheimer’s and Related Dementias EUREKA (PREPARE) Challenge dataset, which consists of audio recordings from over 1600 participants with 3 distinct categories of cognitive decline: healthy control (HC), mild cognitive impairment (MCI), and Alzheimer’s disease (AD). We further excluded samples that are non-English, nonspontaneous speech, or of poor quality. Our final samples included 703 (59.13%) HC, 81 (6.81%) MCI, and 405 (34.06%) AD cases. We systematically benchmarked 18 open-source foundation speech and language models to classify cognitive status into 3 categories (HC, MCI, or AD). Post hoc interpretability analysis was performed for the best-performing model using Shapley additive explanations linking high-dimensional embeddings with explainable acoustic and linguistic markers. <strong>Results:</strong> Whisper-medium model achieved the highest performance among speech models at 0.731 accuracy and 0.802 area under the curve, while Bidirectional Encoder Representations from Transformers with pause annotation achieved the top accuracy of 0.662 and 0.744 area under the curve among language models. Overall, ADRD detection based on state-of-the-art automatic speech recognition model-generated audio-embeddings outperformed other models, and the inclusion of nonsemantic information, such as pause patterns, consistently improved the classification performance of text-embedding–based models. <strong>Conclusions:</strong> Our work presents a comprehensive comparative evaluation of state-of-the-art speech and language models for AD and MCI detection on a large, clinically relevant dataset. Embeddings derived from acoustic models, which capture both semantic and acoustic information, show promising performance and highlight the potential for developing a more scalable, noninvasive, and cost-effective early detection tool for ADRD.

The Download: making drugs in orbit and NASA’s nuclear-powered spacecraft

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.

A plan to make drugs in orbit is going commercial

A startup called Varda Space Industries is betting that the future of pharmaceuticals lies in orbit. The company has signed a deal with United Therapeutics to test whether drugs crystallize differently in microgravity, potentially creating improved versions with new properties.

The idea sounds futuristic, but falling launch costs and reusable rockets are making space-based manufacturing seem increasingly plausible. Varda says the partnership could mark an important step toward building products in orbit for use back on Earth.

Discover how space could become the next frontier for drug development.

—Antonio Regalado

MIT Technology Review Narrated: NASA is building the first nuclear reactor-powered interplanetary spacecraft. How will it work?

Just before Artemis II began its historic slingshot around the moon, NASA revealed an even grander space travel plan. By the end of 2028, the agency aims to fly a nuclear reactor-powered interplanetary spacecraft to Mars.

A successful mission would herald a new era in spaceflight—and might just give the US the edge in the race against China. But the project remains shrouded in mystery.

MIT Technology Review picked the brains of nuclear power and propulsion experts to find out how the nuclear-powered spacecraft might work.

—Robin George Andrews

This is our latest story to be turned into an MIT Technology Review Narrated podcast, which we publish each week on Spotify and Apple Podcasts. Just navigate to MIT Technology Review Narrated on either platform, and follow us to get all our new content as it’s released.

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 Sam Altman claims Elon Musk tried to seize control of OpenAI
Altman said Musk initially wanted 90% of the equity. (AFP)
+ And that control should go to his children when he dies. (BBC)
+ Altman also accused Musk of twice trying to end its non-profit status. (NPR)
+ Musk’s motivations for the suit are under scrutiny. (MIT Technology Review)

2 Google and SpaceX are in talks to launch data centers into orbit
SpaceX could join Suncatcher, Google’s orbital data center project. (WSJ $)
+ The project’s first launch is slated for early 2027. (Guardian)
+ Anthropic and SpaceX have also discussed orbital data centers. (Wired $)
+ But there are a few hurdles to overcome. (MIT Technology Review

3 Jensen Huang has joined Donald Trump’s high-stakes mission to China
Nvidia is lobbying to sell its AI chips in the country. (Bloomberg $)
+ Elon Musk and Tim Cook are also on the trip. (CNBC)
+ But a tech rivalry and distrust have sapped hopes for big deals. (Reuters $)

4 ICE agents have a list of 20 million people on their iPhones, thanks to Palantir
An ICE official said Palantir is speeding up raids and arrests. (404 Media)
+ ICE has also used facial recognition and Paragon spyware. (TechCrunch)

5 Defense tech firm Anduril just doubled its valuation to over $60 billion
In a $5 billion funding round led by Thrive Capital and a16z. (FT $)
Anduril, which makes AI-backed weapons, may go public next year. (NYT $)

6 Meta employees are protesting computer-tracking at work
Flyers posted at offices are urging staff to oppose the program. (Reuters $)
+ Meta plans to track workers’ clicks and keystrokes to train AI. (CNBC)

7 OpenAI is facing another wrongful death lawsuit over ChatGPT medical advice
The chatbot’s tips allegedly led to a teenager’s overdose. (Ars Technica)

8 The Canvas learning platform has paid hackers to delete stolen student data
It caved to ransomware demands after the biggest-ever edtech breach. (BBC)

9 Scientific researchers are thinking twice about using AI
Due to price hikes, usage limitations, and unreliable outputs. (Nature)

10 The latest AI compute solution? Putting data centers in your home
Hardware hosts get subsidized electricity and internet. (Ars Technica)

Quote of the day

“Mr Musk did try to kill it.”

—Sam Altman claims that Elon Musk tried to destroy rather than protect OpenAI’s non-profit operations, the Guardian reports.

One More Thing

ASCII image of a head with the text, "How can I help you today?"

YOSHI SODEOKA


Why does AI hallucinate?

Chatbot fails are now a familiar meme. Meta’s short-lived scientific chatbot generated wiki articles about the history of bears in space. Lawyers have submitted court documents filled with legal citations fabricated by ChatGPT. Air Canada was ordered to honor a refund policy invented by its customer service chatbot.

This tendency to make things up—known as hallucination—is one of the biggest obstacles holding chatbots back from more widespread adoption. Here’s why they do it—and why we still can’t fix it.

—Will Douglas Heaven

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

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.)

+ A historian has unearthed the etymology of every single dinosaur name.
+ Humus on the moon is getting closer to reality after scientists grew chickpeas in lunar soil.
+ Witness the patience of a master paper artist in this gallery of intricate, handmade sculptures.
+ Want to tell the time alphabetically? Me neither, but this cursed clock is an intriguing reason to try.

The Child Mind Institute Hosts 2026 Spring Luncheon “Future-Proofing Your Kids: Empowered Parenting in the Digital Age”

New York Times bestselling author Lisa Damour, PhD, led a thoughtful discussion to honor Mental Health Awareness Month

New York, NY – The Child Mind Institute, the leading independent nonprofit dedicated to transforming the lives of children struggling with mental health and learning disorders, hosted its 2026 Spring Luncheon on Monday, May 11. The event featured a dynamic discussion between Lisa Damour, PhD, a three-time New York Times bestselling author and host of the podcast, Ask Lisa: The Psychology of Raising Tweens & Teens, and Dave Anderson, PhD, Vice President of Public Engagement and Education and a senior psychologist at the Child Mind Institute. Their conversation was moderated by Ali Wentworth, an actress, comedian, author, and host of the television show, The Parent Test.

The event brought together advocates and distinguished individuals dedicated to equipping children and families with the skills they need to thrive in today’s rapidly evolving online and social environments. Attendees included Carson and Siri Daly, Jeannie Gaffigan, Kyle MacLachlan, Zibby Owens, and Alysia Reiner.

“We are raising children in a world fundamentally different from any generation before them…a world where childhood unfolds not just in homes and schools but online,” said Harold S. Koplewicz, MD, founding president and medical director of the Child Mind Institute. “Technology brings creativity and connection but also real risks: constant comparison, disrupted sleep, compulsive engagement, and exposure to harmful content. Our job is to help kids build the skills to navigate this world with resilience, confidence, and balance.”

The discussion centered on kids and families and how they can build healthy habits and resilience as they face the demands and distractions of a world increasingly reliant upon and centered around digital technology.

“My umbrella concern is what the conversation about technology is doing to the relationship between adults and kids. The single most powerful force for youth mental health is strong relationships with caring adults,” said Dr. Damour.

“If we focus on driving causal factors — such as family relationships, academic success, in-person friendships, sleep, and movement — we end up promoting a child’s wellness far more than by taking technology away,” said Dr. Anderson.

The luncheon raised over $260,000 to support the Child Mind Institute’s mission to change the lives of children with mental health and learning disorders in the United States and around the world.

The luncheon was co-chaired by Chris Mack, Lisa and Guy Metcalfe, Zibby Owens, and Jil Schaps. The host committee included Robyn and Paul Goldschmid, Desiree Gruber, Molly Jong-Fast, Breanna and John Khoury, Isabelle Krishana, Arielle Tepper, and Sarah J. Wetenhall.

Photos from the luncheon can be found here.

This special event is part of the Child Mind Institute’s programming during Mental Health Awareness Month. The Child Mind Institute recently launched its latest campaign, Mental Health Fitness. Physical fitness doesn’t just happen — it takes skills, regular practice, and a supportive environment. The same is true for mental health. Alongside relatable content from influencers and world-renowned athletes, the Mental Health Fitness resources from the Child Mind Institute provide kids and families with five core mental health skills they can practice every day.


About the Child Mind Institute 

The Child Mind Institute is dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We’ve become the leading independent nonprofit in children’s mental health by providing gold-standard, evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow’s breakthrough treatments. 

Visit Child Mind Institute on social media: Instagram, FacebookX, LinkedIn

For press questions, contact our press team at childmindinstitute@ssmandl.com or our media officer at mediaoffice@childmind.org

The post The Child Mind Institute Hosts 2026 Spring Luncheon “Future-Proofing Your Kids: Empowered Parenting in the Digital Age” appeared first on Child Mind Institute.