Life Sciences DNA Podcast Podcast Por Levine Media Group arte de portada

Life Sciences DNA Podcast

Life Sciences DNA Podcast

De: Levine Media Group
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The Life Sciences D’n’A podcast is hosted by AI and data analytics experts and pharma industry veterans Nagaraja Srivatsan and Amar Drawid. They explore the evolving use of AI and data science with innovators working to reshape all aspects of the biopharmaceutical industry from the way new therapeutics are discovered to how they are marketed.Copyright 2024 All rights reserved. Ciencia Ciencias Biológicas Economía
Episodios
  • Making Clinical Trials More Predictable with AI

    Making Clinical Trials More Predictable with AI
    Jul 14 2025

    Craig Lipset, advisor and founder of Clinical Innovation Partners, sits down with Nagaraja Srivatsan to discuss how AI can bring greater predictability to clinical trials, how organizations can adopt the technology effectively, and the importance of having a culture of experimentation.
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    42 m
  • Finding Healthcare Providers from Clinical Trials to War Zones

    Finding Healthcare Providers from Clinical Trials to War Zones
    Jun 26 2025

    Ariel Katz, co-founder and CEO of H1, sits down with Amar Drawid to discuss how his company’s AI platform allows pharmaceutical companies to identify the right healthcare providers for their clinical trials, medical affairs, and commercial activities. He discusses the company’s unique datasets, the problem it solves for biopharmaceutical companies, and some unexpected ways the platform has been used.
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    40 m
  • Driving Efficiency in Drug Development with AI

    Driving Efficiency in Drug Development with AI
    Jun 12 2025

    Venky Iyer, director of data strategy and automation at Pfizer, sits down with Nagaraja Srivatsan to discuss the transformative role of AI and machine learning in the pharmaceutical industry. They discuss Iyer’s journey in implementing AI solutions to enhance operational efficiency at Pfizer. They talk about the importance of engaging operational teams, managing change effectively, and focusing on the value of AI adoption in improving drug development processes.
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    47 m
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