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Episode 47: Math Meets Cancer

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Manage episode 324189096 series 1936276
内容由TGen Talks提供。所有播客内容(包括剧集、图形和播客描述)均由 TGen Talks 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
Applied mathematics dramatically advanced the field of finance in the 1970’s, where its application allowed for the modeling of financial markets by mathematicians highly skilled in quantitative analytics. Today, these highly sought-after mathematicians are making a name for themselves in the field of applied science as their skills are increasingly providing solutions in many areas of biomedical research. The genomic sequencing routinely employed by TGen in precision medicine platforms generates data on a massive scale. Applying mathematical modeling, statistical methods, and machine learning, to these complex datasets has the potential to transform longitudinal (i.e., the same patient sampled over time) genomics data into new predictive biomarkers of disease or response to treatment. In the latest edition of TGen Talks, Dr. Cristian Tomasetti discusses his mathematical grounding, how applied mathematics influences modern biology, his work at TGen and City of Hope, and the role of somatic mutations on cancer. All this and more in under 20 minutes.
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Manage episode 324189096 series 1936276
内容由TGen Talks提供。所有播客内容(包括剧集、图形和播客描述)均由 TGen Talks 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
Applied mathematics dramatically advanced the field of finance in the 1970’s, where its application allowed for the modeling of financial markets by mathematicians highly skilled in quantitative analytics. Today, these highly sought-after mathematicians are making a name for themselves in the field of applied science as their skills are increasingly providing solutions in many areas of biomedical research. The genomic sequencing routinely employed by TGen in precision medicine platforms generates data on a massive scale. Applying mathematical modeling, statistical methods, and machine learning, to these complex datasets has the potential to transform longitudinal (i.e., the same patient sampled over time) genomics data into new predictive biomarkers of disease or response to treatment. In the latest edition of TGen Talks, Dr. Cristian Tomasetti discusses his mathematical grounding, how applied mathematics influences modern biology, his work at TGen and City of Hope, and the role of somatic mutations on cancer. All this and more in under 20 minutes.
  continue reading

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