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S3: E3 Future-Proofing Drug Development: AI, Old Data, and New Rules

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Manage episode 482547653 series 3665341
Content provided by ACRO. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by ACRO 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://podcastplayer.com/legal.
On this week’s episode, Lisa Moneymaker (SVP, Head of Strategic Customer Engagement, Medidata Solutions) and Adam Aten (Legislative & Regulatory Policy Lead, Verily) join the podcast to discuss how the clinical research industry must use insights from the past to better prepare our AI models and other technologies to meet the needs of patients in the present and future.
They dive deeper into the role that collaboration between technologists and clinical scientists can play in helping to reduce bias in our AI models, what legislators and regulators should be keeping top of mind as they write new rules of the road for AI and ML, and ACRO’s ongoing efforts to promote the responsible use of AI in clinical research.
  continue reading

18 episodes

Artwork
iconShare
 
Manage episode 482547653 series 3665341
Content provided by ACRO. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by ACRO 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://podcastplayer.com/legal.
On this week’s episode, Lisa Moneymaker (SVP, Head of Strategic Customer Engagement, Medidata Solutions) and Adam Aten (Legislative & Regulatory Policy Lead, Verily) join the podcast to discuss how the clinical research industry must use insights from the past to better prepare our AI models and other technologies to meet the needs of patients in the present and future.
They dive deeper into the role that collaboration between technologists and clinical scientists can play in helping to reduce bias in our AI models, what legislators and regulators should be keeping top of mind as they write new rules of the road for AI and ML, and ACRO’s ongoing efforts to promote the responsible use of AI in clinical research.
  continue reading

18 episodes

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