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CancerStemID: One step closer to predicting cancer risk?

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Manage episode 402529298 series 2680968
Content provided by ResearchPod. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by ResearchPod 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.

With the exception of a few hereditary cancers, there is currently no accurate method to predict whether someone is going to get cancer.

Dr Andrew Teschendorff from the Shanghai Institute of Nutrition and Health, in collaboration with Dr Chen Wu from the Chinese Academy of Medical Sciences, has created a computational method called CancerStemID that could help calculate a patient’s risk of cancer by analysing a vast amount of RNA data from precancerous cells.
Read the original research: doi.org/10.1158/0008-5472.can-22-0668

  continue reading

375 episodes

Artwork
iconShare
 
Manage episode 402529298 series 2680968
Content provided by ResearchPod. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by ResearchPod 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.

With the exception of a few hereditary cancers, there is currently no accurate method to predict whether someone is going to get cancer.

Dr Andrew Teschendorff from the Shanghai Institute of Nutrition and Health, in collaboration with Dr Chen Wu from the Chinese Academy of Medical Sciences, has created a computational method called CancerStemID that could help calculate a patient’s risk of cancer by analysing a vast amount of RNA data from precancerous cells.
Read the original research: doi.org/10.1158/0008-5472.can-22-0668

  continue reading

375 episodes

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