politics
Some more details on Trump's drug pricing plan
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The Trump administration yesterday shared more details of its plan to push pharmaceutical companies to lower their U.S. drug prices to be in line with prices in other countries.
Specifically, it's telling companies to set their U.S. prices at the lowest level offered in countries that are part of the Organization for Economic Co-operation and Development and that have a GDP per capita that's at least 60% of the U.S.' (Countries that appear to meet those criteria include Germany, France, and the U.K.)
The pricing targets will apply to brand-name drugs that don’t face competition from generics or biosimilars. The announcement didn’t include a timeline for action, but said officials would highlight commitments by companies to lower their prices “in the coming weeks.”
There are still plenty of unanswered questions, though, such as: What are the consequences for companies that don’t lower their prices? Which prices (such as list or net) are the companies being asked to lower?
Read more from STAT's Daniel Payne.
artificial intelligence
How much of an AI drug is actually made 'from scratch'?
From my colleague Brittany Trang: Last week, AI drug development startup Absci announced that its first candidate, ABS-101 for inflammatory bowel disease, has entered the clinic. Though the company doesn’t say so in its press release, media coverage claims that Absci designed the antibody drug “from scratch” with AI.
Earlier this year, we examined these kinds of broad claims made by Absci and another AI drug development company from Flagship called Generate:Biomedicines, and we found that they were greatly exaggerated. At that time, Absci hadn't shared many specific details about ABS-101.
We now have some more information. A newly released patent application for ABS-101 shows that half of the antibody derives from AI.
Where did the rest of the molecule come from? The company did not respond to a request from STAT, but Absci CEO Sean McClain has previously said that the company studied other TL1A assets from Merck and Roche to figure out what it wanted its model to do.
“I think this is a great use case from an IP standpoint — how could we use the AI to get outside of the existing IP from the competitors but then carve out new IP landscape for our own, which we have successfully done with this program?” McClain previously said at a 2024 JPM conference.
A version of this item also ran in AI Prognosis, STAT’s subscriber-only newsletter about AI in health and medicine written by Brittany Trang. Sign up here to get to the latest developments on AI in health care and to read more analysis that aims to separate hype from reality.