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Caris Life Sciences® - MI FOLFOXai™ - mCRC Treatment Predictor

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Archived series ("Inactive feed" status)

When? This feed was archived on October 25, 2022 13:32 (1+ y ago). Last successful fetch was on May 03, 2022 16:48 (2y ago)

Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 282546792 series 1076397
Content provided by Health Professional Radio. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Health Professional Radio 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.
Returning guest, Dr. David Spetzler, President and Chief Scientific Officer and Dr. Jim Abraham, Senior Vice President and Chief Data Officer at Caris Life Sciences discuss positive results from validation studies of MI FOLFOXai™, Caris Life Sciences’ artificial intelligence (AI)-based predictor that gauges a metastatic colorectal cancer (mCRC) patient’s likelihood of benefiting from the sequence of two first-line, standard of care treatments. These results were published in "Clinical Cancer Research" a publication of the "American Association for Cancer Research". David Spetzler, MS, Ph.D., MBA, President and Chief Scientific Officer. Dr. Spetzler joined Caris Life Sciences® in August of 2009 and has held several management positions with increasing responsibilities during his tenure. He leads the company’s clinical testing service and development of proprietary technologies to aid in the creation of precision medicine strategies for individual cancer patients and noninvasive technologies to identify and predict early-stage cancer. Using Caris Molecular Intelligence®, ADAPT Biotargeting System™, and DEAN™, an advanced AI platform focused on nonlinear feature selection to identify new biological signatures to improve cancer diagnosis and treatment selection, Dr. Spetzler has generated more than 330 patent applications across 37 different patent families and authored 31 peer-reviewed journal articles. He is an innovator in molecular science with a relentless focus on improving patient care through an unwavering commitment to the highest quality, fastest turn-around-time, and greatest scientific rigor to fulfill the promise of precision medicine. He has led the development of the company’s exclusive and unique technology, ADAPT, which is able to measure thousands of protein aberrations and is being used to develop early cancer detection assays, discover novel drug targets, and characterize protein differences in each patient’s tumor. During his tenure, Caris has amassed molecular data on 158,000+ patients and clinical outcomes on 20,000 patients since the launch of its molecular profiling service in 2009. He oversaw the design, development, validation, and commercial launch of a 592-gene DNA panel in 2015, and recently launched whole transcriptome sequencing (WTS), which builds upon Caris’ expertise in advanced diagnostic testing and molecular insights to gain insight into the RNA profiles of patient tumors. It enables highly sensitive detection of gene fusions, RNA splice variants, and gene expression analysis all from one streamlined test. Dr. Spetzler led the development of the company’s proprietary AI platform (DEAN) to create and validate dozens of machine learning signatures, called Next Generation Profiling™ (NGP), thus providing the most in-depth and exclusive analysis and interpretation using the most comprehensive suite of clinical offerings available to cancer patients today. The Company is preparing to launch and continues to develop dozens of unique proprietary AI DEAN-driven, machine learning signatures unlocked from a decade of testing patients and accumulating outcomes data to improve cancer diagnosis and therapeutic guidance never before seen.
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683 episodes

Artwork
iconShare
 

Archived series ("Inactive feed" status)

When? This feed was archived on October 25, 2022 13:32 (1+ y ago). Last successful fetch was on May 03, 2022 16:48 (2y ago)

Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 282546792 series 1076397
Content provided by Health Professional Radio. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Health Professional Radio 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.
Returning guest, Dr. David Spetzler, President and Chief Scientific Officer and Dr. Jim Abraham, Senior Vice President and Chief Data Officer at Caris Life Sciences discuss positive results from validation studies of MI FOLFOXai™, Caris Life Sciences’ artificial intelligence (AI)-based predictor that gauges a metastatic colorectal cancer (mCRC) patient’s likelihood of benefiting from the sequence of two first-line, standard of care treatments. These results were published in "Clinical Cancer Research" a publication of the "American Association for Cancer Research". David Spetzler, MS, Ph.D., MBA, President and Chief Scientific Officer. Dr. Spetzler joined Caris Life Sciences® in August of 2009 and has held several management positions with increasing responsibilities during his tenure. He leads the company’s clinical testing service and development of proprietary technologies to aid in the creation of precision medicine strategies for individual cancer patients and noninvasive technologies to identify and predict early-stage cancer. Using Caris Molecular Intelligence®, ADAPT Biotargeting System™, and DEAN™, an advanced AI platform focused on nonlinear feature selection to identify new biological signatures to improve cancer diagnosis and treatment selection, Dr. Spetzler has generated more than 330 patent applications across 37 different patent families and authored 31 peer-reviewed journal articles. He is an innovator in molecular science with a relentless focus on improving patient care through an unwavering commitment to the highest quality, fastest turn-around-time, and greatest scientific rigor to fulfill the promise of precision medicine. He has led the development of the company’s exclusive and unique technology, ADAPT, which is able to measure thousands of protein aberrations and is being used to develop early cancer detection assays, discover novel drug targets, and characterize protein differences in each patient’s tumor. During his tenure, Caris has amassed molecular data on 158,000+ patients and clinical outcomes on 20,000 patients since the launch of its molecular profiling service in 2009. He oversaw the design, development, validation, and commercial launch of a 592-gene DNA panel in 2015, and recently launched whole transcriptome sequencing (WTS), which builds upon Caris’ expertise in advanced diagnostic testing and molecular insights to gain insight into the RNA profiles of patient tumors. It enables highly sensitive detection of gene fusions, RNA splice variants, and gene expression analysis all from one streamlined test. Dr. Spetzler led the development of the company’s proprietary AI platform (DEAN) to create and validate dozens of machine learning signatures, called Next Generation Profiling™ (NGP), thus providing the most in-depth and exclusive analysis and interpretation using the most comprehensive suite of clinical offerings available to cancer patients today. The Company is preparing to launch and continues to develop dozens of unique proprietary AI DEAN-driven, machine learning signatures unlocked from a decade of testing patients and accumulating outcomes data to improve cancer diagnosis and therapeutic guidance never before seen.
  continue reading

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