How can we, humans, look at our relationship to nature differently? In season three of Going Wild, on top of stories about animals, we invite you to journey through the entire ecological web — from the tiniest of life forms to apex predators — alongside the scientists, activists and adventurers who study it. Wildlife biologist and host Dr. Rae Wynn-Grant has been studying wild animals in their natural habitats all over the world for years. Our award-winning podcast takes you inside the hidde ...
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Curing Cancer with Math
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Manage episode 177935249 series 49047
Content provided by Levine Media Group. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Levine Media Group or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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.
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514 episodes
MP3•Episode home
Manage episode 177935249 series 49047
Content provided by Levine Media Group. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Levine Media Group or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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.
…
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514 episodes
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