Skip to Content

FDA Takes On Personalized Medicine

February 23, 2010

Personalized medicine does not fit easily into established government procedures for approving drugs. After all, clinical trials are designed to test a drug on a large and diverse group of patients, and the whole point of personalized therapeutics is to target the specific genetic populations that will benefit most. The U.S. Food and Drug Administration is now trying to figure out how to judge the usefulness of a drug designed for particular genetic groups while also considering its safety for others who may receive it for off-label purposes.

Last fall the FDA created a post for a genomics advisor, who will coördinate the agency’s efforts to address the subject of genetic data and prescription drugs. Amy Miller, public-policy director of the nonprofit Personalized Medicine Coalition, says the agency has signaled that it’s “now ready to give the industry some guidance on how personalized-medicine products will be regulated in the future.”

One of the first challenges the FDA will probably tackle is how to evaluate genetic and biomarker-based tests aimed at identifying the patients most likely to benefit from a drug. The agency has begun adding recommendations for diagnostic tests to drug labels, and in a handful of cases it has mandated a genetic test before a drug can be prescribed, but there is currently no streamlined path for approving the combination of a drug and a diagnostic test. The FDA has indicated that it will develop guidelines, but so far it’s not clear how, or when, it will resolve the logistical difficulties involved in approving two very different products in one regulatory process.

Keep Reading

Most Popular

Large language models can do jaw-dropping things. But nobody knows exactly why.

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models.

The problem with plug-in hybrids? Their drivers.

Plug-in hybrids are often sold as a transition to EVs, but new data from Europe shows we’re still underestimating the emissions they produce.

Google DeepMind’s new generative model makes Super Mario–like games from scratch

Genie learns how to control games by watching hours and hours of video. It could help train next-gen robots too.

How scientists traced a mysterious covid case back to six toilets

When wastewater surveillance turns into a hunt for a single infected individual, the ethics get tricky.

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive.