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Good morning health tech readers!
You’re reading the web edition of STAT’s Health Tech newsletter, our guide to how technology is transforming the life sciences. Sign up to get it delivered in your inbox every Tuesday and Thursday.
Good morning health tech readers!
It’s estimated that nearly 400 million people across the globe live with a rare disease. Though many of these diseases are progressive, debilitating, and even life-threatening, less than five percent of them have an effective and approved treatment.
Nearly half of the rare disease patients are children and it’s estimated that 30% of children with a rare disease will not survive past their fifth birthday. Though there have been some major successes in developing and providing treatment for some children with rare disease, including Baby KJ Muldoon—who was the first patient to receive a personalized CRISPR gene editing therapy—N = 1 therapies are challenging on many levels, and these stories cannot be the functional standard practice for treating patients with rare disease.
“What if treating genetic disease could be as routine as life-saving surgery?” ask David Liu, PhD, core institute member at the Broad Institute, and Winston Yan, MD, PhD, physician-scientist at the Broad institute and director of the new Center for Therapeutic Genetics (CTG) which is working to answer this very question.
“Scaling and sustaining treatment for ultra-rare disease is a hard problem that many scientists, clinicians, patients, and drug developers are working on,” says Yan.
Along with Yan and Lui, the CTG is founded by leaders in genetic medicine, including Cat Lutz, PhD, vice president, of The Jackson Laboratory’s rare disease translational center, Timothy Yu, MD, PhD, physician and researcher at Boston Children’s Hospital, and Wendy Chung, MD, PhD, chief of pediatrics at Boston Children’s Hospital. Their aim is simple: to develop genetic medicines that can treat patients with rare diseases in a scalable and repeatable way, while sharing the methods, data, and training learned through this practice.
“What we have here is a group of leaders who believe that by approaching genetic medicines not as products, but as a standardized clinical procedure, and by sharing what we learn openly across institutions, we can make precision genetic medicine faster, safer, less expensive, and more accessible to patients and families in need,” says Yan.
The impetus behind developing the CTG is centered on patient care and utilizing ever growing biotechnology.
“We receive messages every week from parents asking for help: Can we do for their child what has been done for other children who have received treatments?” shares Liu. “The honest answer today is usually ‘not yet,’ often not because the science doesn’t exist, but because we don’t yet have the infrastructure to bring these treatments to many patients. CTG is our commitment to closing that gap, so that eventually every family who needs this kind of treatment has a path forward.”
Though the center is in its founding phase and not yet working with patients, the programs are anticipated to include the development of precision gene-editing treatments for multiple diseases, including rare forms of genetic epilepsies, supported by a recent $34.5 million award from the ARPA-H THRIVE program.
“What we are building together is scalable treatment, something our institutions will learn to do well and repeat again and again. At Boston Children’s, we see children every day for whom a diagnosis is only the beginning of a much longer journey,” says Chung.
By utilizing technology, like CRISPR or base editing or prime editing, the goal is to develop a scalable system, not just one-off treatments. The founders of CTG aim to develop programmable and modular medicines that can be customized to the patient needs, not unlike the tailored pre-operational plans that are developed for each patient undergoing a standard practice surgery.
“We used to see precisely tailored therapies for children with genetic diseases as remarkable exceptions. CTG is built on the conviction that they don’t have to be—that the methods we develop for one rare disease will carry to the next, and eventually to the many,” says Yu.
Lutz concurs, adding, “We are at a moment in genomic medicine where, for many rare diseases, the question is no longer whether we can treat them, but whether we will build the systems to do it.”
Standardizing precision medical care using programmable genetic medicines for treating rare diseases is only the beginning. Best practices and processes for addressing rare disease can translate to treating more widespread diseases as well.
“CTG exists to close a major gap in care and ensure that what we learn from one disease accelerates treatment for the next,” concludes Chung.
The post New Center for Therapeutic Genetics to Develop Rare Disease Genetic Medicines appeared first on Inside Precision Medicine.
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.
Last weekend, several current and former advisers to President Donald Trump on AI publicly lobbed insults at the country’s leading AI companies. David Sacks branded Anthropic’s models “lobotomized” and “woke.” Emil Michael, a top Pentagon official, called OpenAI’s new head of strategic futures a “supreme village idiot.”
It began because no one can agree on what to do about Kimi, a free, open-source model that Chinese AI company Moonshot launched last week. It appears to rival the intelligence of models from OpenAI and Anthropic, which are very much not free.
Every time a new smart, free model from China gets released, US companies see less reason to fork out money for models from Anthropic or OpenAI. That’s creating economic and political problems for the president—and dividing the top AI strategists in his orbit.
Read the full story on why no one can agree what to do about Kimi.
—James O’Donnell
This article is from The Algorithm, our weekly AI newsletter. Sign up to receive it in your inbox every Monday.
The must-reads
I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.
1 Anthropic’s record $1.5 billion copyright settlement has been approved
The plaintiffs said Anthropic used pirated works to train Claude. (Reuters $)
+ And won the largest known copyright payout in history. (Engadget)
+ Yet many authors and creators still don’t view it as a win. (TechCrunch)
+ But AI copyright anxiety could limit creativity. (MIT Technology Review)
2 The Trump administration is weighing a ban on Chinese AI models
The launch of Kimi K3 has revived calls for restrictions. (Axios)
+ But officials are divided on the proposals. (Fast Company)
+ China’s bet on open-source is paying off. (MIT Technology Review)
3 China is mulling tighter export controls on AI models and chips
It wants to stop the West from acquiring its tech and startups. (FT $)
+ Beijing has held talks with tech firms about potential restrictions. (Reuters $)
4 Trump’s AI safety head has resigned after just three months
Chris Fall had led CAISI, the federal AI Safety Institute, since April. (Axios)
+ No reason was given for his exit. (CNBC)
5 Google is working on a new chip to run Gemini models more efficiently
The chip, called “Frozen V2,” may be deployed in 2028. (Information $)
+ Alphabet stock popped on the report. (CNBC)
6 New Orleans police have explored arming drones with weapons
A draft drone manual paves the way for weaponised quadcopters. (404 Media)
+ Shoplifters could soon be chased by drones. (MIT Technology Review)
7 The EU has handed AliExpress a record fine over unsafe product sales
The €550 million fine is the largest-ever under the Digital Services Act. (BBC)
+ Alibaba has vowed to appeal the fine. (SCMP)
8 Election advice from AI chatbots is “inaccurate and unreliable”
That’s the conclusion from tests in Hungary earlier this year. (Guardian)
9 Red light therapy is showing promise for healing and healthy aging
Better skin and reduced vision loss are also on the cards. (Economist $)
10 Neill Blomkamp’s new horror clip is all AI-generated—and it sucks
The acclaimed director wants to make “a full feature in this format.” (Gizmodo)
Quote of the day
—Tech investor Chamath Palihapitiya slams plans to restrict Chinese AI models in a post on X.
One More Thing
Early on the morning of September 2, 2024, four people were shot and killed on a westbound train in Chicago. Police swiftly activated a digital dragnet—a surveillance network that connects thousands of cameras across the city—and arrested the suspect just 90 minutes later.
Law enforcement and security advocates say this vast monitoring system protects public safety and works well. But activists and many residents say it’s a surveillance panopticon that creates a chilling effect on behavior and violates guarantees of privacy and free speech.
Go inside the surveillance network that’s dividing Chicago.
—Rod McCullom
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.)
+ NASA has shared a stunning timelapse video of the Psyche spacecraft’s view of Mars.
+ This comparison of American and European Urbanism shows good city design is a choice.
+ Musician Luca Stricagnoli recently performed a marvellous acoustic guitar medley of Prodigy songs.
+ Two Australian paddleboarders saved a stranded wallaby after it was swept out to sea—and caught the whole rescue on video.