Skip to Content
Uncategorized

New UCSF Chancellor a Boost for Personalized Medicine?

Former Genentech president Susan Desmond-Hellmann is nominated to be the next UCSF chancellor.

When Roche bought Genentech last month, speculation was rife about where the newly enriched leadership of this biotech behemoth would end up. For president of product development Susan Desmond-Hellmann, it didn’t take long to settle the issue.

Last Friday, Mark Yudof, president of the University of California, announced that Desmond-Hellmann is his nominee for the chancellor of UC San Francisco–subject to approval by the UC Board of Regents. Her arrival could mean a substantial boost for personalized medicine–the tailoring of treatments and diagnostic tests according to an individual patient’s genes and physiology. She oversaw the development of Herceptin, the Genentech blockbuster to treat breast cancer that only works for patients who overexpress a gene called HER2. She also oversaw the development of the blockbusters Rituxin and Avastin.

Unfortunately, other examples of truly personalized medicine have been scarce in the drug industry, despite an explosion of research data produced by molecular biologists in recent years. Most of this data, however, has not been translated into either new drugs or diagnostics. Many reasons are given, including the complexity of the science and a research infrastructure that still values discovery more than the development and application of those discoveries.

Efforts are under way at the National Institutes of Health and at some universities to develop new and better methods to shift basic research in genetics, proteomics, and other fields into useful products and protocols, but no national leader has emerged to spearhead the effort.

Desmond-Hellmann has not yet revealed her plans or focus should she be approved as chancellor of UCSF, but she is uniquely poised to perhaps take on this role as a bridge between research and development.

Hopefully, she will keep the two in proper balance, remembering her first career as a full-time oncologist who joined pharma out of frustration at being able to do so little for her patients.

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.

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.

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.

It’s time to retire the term “user”

The proliferation of AI means we need a new word.

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.