27 min listen
Curing Cancer with Math
FromThe Bio Report
ratings:
Length:
18 minutes
Released:
Apr 27, 2017
Format:
Podcast episode
Description
The promise of precision medicine to provide more effective and safer cancer therapies that target the genetics driving each patient’s disease has been hindered by the lack of understanding of the specific genetic alterations underlying many cancers. Elana Fertig thinks math can solve that problem. Fertig, with a nod to the algorithm Netflix uses to help recommend movies users might like, is working to identify the genes that drive an individual’s cancer. Fertig, assistant professor of Oncology Biostatistics and Bioinformatics at Johns Hopkins Kimmel Cancer Center, discussed the proliferation of genetic data relating to cancer, how researchers may be able to capitalize on that, and how such an approach may also bring a new understanding of why patients suffer relapses and develop resistance to cancer therapies.
Released:
Apr 27, 2017
Format:
Podcast episode
Titles in the series (100)
Will Increased FDA Regulation of Diagnostics Speed or Slow Development of Personalized Medicine: The U.S. Food and Drug Administration is moving to expand its regulatory domain by adding oversight of certain diagnostics it does not regulate today. The agency says thousands of these test are used daily to guide treatment decisions and diagnose di... by The Bio Report