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IntellaTurn's Weekly Scoop
By Erin at IntellaTurn ● Aug 13, 2026
The latest: Attruby blockbuster potential | Pushback on MMR vaccine split | High-tech new drug hunters | Clinical trial savings with AI
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Source: BridgeBio
➡️ BridgeBio’s ATTRUBY cruises toward blockbuster land
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BridgeBio's Attruby has outperformed expectations, with second-quarter US sales reaching $222 million, beating Wall Street's projections by 6%.
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Meanwhile, Alnylam's Amvuttra sales fell short despite significant growth. Both companies target first-line ATTR-cardiomyopathy patients, as the debate between silencer and stabilizer drugs continues.
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BridgeBio's CEO, Neil Kumar, suggests the market is leaning towards stabilizers, especially after AstraZeneca and Ionis' silencer Wainua failed a major trial. The ATTR-CM market saw a 19% growth in the second quarter, with stabilizers gaining more market share. (Fierce Pharma)
➡️ FDA approves Replimune melanoma drug previously rejected twice
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The FDA approved Replimune’s treatment for advanced melanoma, dealing the biotech a major win after a tumultuous saga of trying to seek approval for the controversial treatment.
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The FDA’s decision to grant accelerated approval to the drug, which is called RP1 and will be marketed as Tudriqev, came after its advisers voted in support of the treatment.
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Even though FDA staff expressed concerns about the design and conduct of Replimune’s key trial, advisers ultimately believed there was a large enough signal of efficacy and that patients are in urgent need of new treatments.
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The list price of Tudriqev will be $450,000 per course of therapy before customary rebates and discounts, Replimune said. (STAT)
➡️ Epicrispr raises $90M to rewrite treatment of rare muscle disease
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Epicrispr Biotechnologies has raised $90 million in a series C round backed by investors including Sanofi Ventures, positioning the biotech to advance a pipeline of epigenetic medicines led by an early-phase facioscapulohumeral muscular dystrophy (FSHD) prospect.
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San Francisco-based Epicrispr began a phase 1/2 trial of the FSHD drug candidate, EPI-321, last year.
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A recent look at data from the trial showed increases in lean muscle mass in three patients with FSHD, a rare muscle degeneration disease. Six months after receiving a single intravenous infusion of EPI-321, the patients had gained between 0.5 and 1.3 pounds of lean muscle mass.
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The interim readout provided preliminary clinical support for Epicrispr’s theory that suppressing DUX4 expression will improve outcomes in FSHD. (Fierce Biotech)
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Vaccine makers throw cold water on push to separate MMR vaccine
Source: Unsplash (Diana Polekhina)
Theoretically speaking: It’s possible for vaccine makers to split up the measles, mumps and rubella vaccines, as recently ordered by President Donald Trump.
Practically speaking: It’s far-fetched.
Experts weigh in: Vaccine makers and clinical development veterans in the field have said it could take years to separate out the vaccine, as requested by Trump in his Monday executive order.
What they’re saying: David Peacock, former senior vice president of global vaccines at Merck and now the CEO of vaccine biotech Vaxxas, said in an email that while it’s technically feasible, separating out the vaccines would be a major undertaking.
“Manufacturers would need dedicated formulations, manufacturing processes, and clinical packages, to support FDA review and eventual approval,” he said. “This means significant investment and even under accelerated conditions would likely take years.”
The Merck spokesperson echoed this and said that “these would be considered three new, investigational, separately licensed vaccines and would require full clinical trial testing and regulatory review for each new product.”
Meanwhile: A White House official said on a media call Monday evening that there would be demand in the marketplace for these, and that the administration would work with the private sector.
However: Data show that the vast majority of parents get their kids at least one dose of the MMR vaccine before age 3.
Go deeper: Endpoints
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TrendWatch: AI biotechs force biopharma into ‘fail-fast’ drug development
Sources: BioSpace; Oliver Sprague Kelly, Pivotal Scientific Limited • Partnerships signed from January through June 30.
What to know: An ascendant group of AI-centric companies is ushering in a new era of “fail-fast” drug development, pushing the entire biopharma sector to adopt advanced machine learning as new investors shovel money into these high-tech new drug hunters.
“The real story is the pressure that tech capital puts on biopharma leadership to fix their failure rates,” Tyrone Lam, chief business officer at GATC Health, said.
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Lam noted that there has been a big influx of tech money into biopharma. These new investors, he added, “fundamentally understand the value of a ‘fail-fast’ process”—a strategy that puts a premium on figuring out quickly where a product might fail.
Driving the news: AI appears to have become the apple of Big Pharma’s eye in recent months, with many of the industry’s most prominent players—including Merck, Eli Lilly and Bristol Myers Squibb—investing heavily into the technology to build capacity internally.
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There is outreach from the machine learning sector, too: In April, AI frontrunner Anthropic named Novartis CEO Vas Narasimhan to its board of directors.
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Late last month, the tech company launched Claude Science, an AI workbench designed specifically for the life sciences.
Perhaps the strongest signal of AI’s increasingly central role in biopharma came in May, when AI drug hunter Isomorphic Labs raised $2.1 billion in series B funds.
Continue reading: BioSpace
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Interesting read: Study shows AI brings savings to clinical trials
Source: Axios
Overview: Artificial intelligence isn't just speeding up early-stage drug development, it's starting to unlock millions of dollars' worth of new efficiencies in clinical trials on cancer treatments, new research shows.
Why it matters: AI-powered tools could shave months off time-consuming processes like recruiting and enrolling patients, monitoring results and interpreting data.
By the numbers: A new Tufts Center for the Study of Drug Development analysis found AI agents can accelerate clinical development of cancer drugs by approximately 10 weeks and reduce direct operating costs by as much as $5.6 million in late-stage trials.
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The efficiencies increase with the number of tumors a drug can target: An experimental treatment with 50 active uses could see net benefits of as much as $565 million, Tufts found.
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Tufts applied a clinical monitoring agent from Medable, which provides a platform to support clinical trials, to an unspecified oncology drug development program in phase 2 and 3 trials.
Ken Getz, the Tufts center's executive director, said deploying the agent led to new efficiencies, such as reducing the number of on-site visits, accelerating enrollment in the trial and locking in the data.
"To our knowledge, this is the first time that [predictive] modeling based on actual use and benchmark data has been applied to quantify the net financial impact of an agentic AI solution in a drug development program," he said.
Between the lines: AI agents could become standard features of some clinical trials in three to five years, according to Medable officials, operating like self-driving cars to tackle the grinding but necessary record-keeping that accompanies an application for new drug approval.
Reality check: AI still doesn't guarantee a trial will be a success. Some of the big challenges don't involve information processing, but revolve around finding the right patients, getting their consent and making and distributing the drug. (Axios)
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✨ Thanks for reading! ✨
🌐 About us: IntellaTurn, LLC delivers business-critical and timely information to biopharmaceutical companies and start-ups in the life sciences industry.
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