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Streamlining the Pathology Workflow Through AI: Waqas Haque and Leif Honda of TriMetis

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Manage episode 398686516 series 1163940
Content provided by Oncology Data Advisor® and I3 Health. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Oncology Data Advisor® and I3 Health 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.
This second episode of Oncology Data Advisor's podcast series, Exploring Artificial Intelligence in Oncology, features Leif Honda, Chief Innovation Officer at TriMetis, a digital pathology company focused on improving patient outcomes by accelerating human tissue-based research, development, and testing. Dr. Waqas Haque, member of the Oncology Data Advisor Fellows Forum, speaks with Mr. Honda about the TriMetis Computer-Assisted Pathology (TCAP) AI platform, including how it was developed and trained, its capabilities for streamlining the pathology workflow, and the ongoing process of preparing it for clinical utility.
  continue reading

348 episodes

Artwork
iconShare
 
Manage episode 398686516 series 1163940
Content provided by Oncology Data Advisor® and I3 Health. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Oncology Data Advisor® and I3 Health 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.
This second episode of Oncology Data Advisor's podcast series, Exploring Artificial Intelligence in Oncology, features Leif Honda, Chief Innovation Officer at TriMetis, a digital pathology company focused on improving patient outcomes by accelerating human tissue-based research, development, and testing. Dr. Waqas Haque, member of the Oncology Data Advisor Fellows Forum, speaks with Mr. Honda about the TriMetis Computer-Assisted Pathology (TCAP) AI platform, including how it was developed and trained, its capabilities for streamlining the pathology workflow, and the ongoing process of preparing it for clinical utility.
  continue reading

348 episodes

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