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Transforming Biopharma
ZS
31 episodes
1 month ago
The rapid evolution of generative AI has led to increased adoption but also raises significant compliance challenges. ZS Principal Michael Shaw joins the podcast to discuss the importance of responsible and ethical AI adoption in the biopharma industry, particularly as it relates to compliance, risk management and improving patient outcomes. Highlights include: The importance of developing a comprehensive framework for responsible AI, focusing on principles like fairness, safety, transp...
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Life Sciences
Science
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The rapid evolution of generative AI has led to increased adoption but also raises significant compliance challenges. ZS Principal Michael Shaw joins the podcast to discuss the importance of responsible and ethical AI adoption in the biopharma industry, particularly as it relates to compliance, risk management and improving patient outcomes. Highlights include: The importance of developing a comprehensive framework for responsible AI, focusing on principles like fairness, safety, transp...
Show more...
Life Sciences
Science
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Resetting how we think about obesity: A patient’s point of view
Transforming Biopharma
42 minutes
2 years ago
Resetting how we think about obesity: A patient’s point of view
Recent headlines about the use of prescription drugs for weight loss make obesity a prominent and relevant topic in today’s discussions about health and well-being. Bill Coyle, ZS’s global head of biopharma, and Mandi White-Ajmani, Ph.D., clinical psychologist and owner, Small Brooklyn Psychology, join Maria Whitman to talk about the underlying challenges obesity presents to society and healthcare, even as new treatments emerge.
Transforming Biopharma
The rapid evolution of generative AI has led to increased adoption but also raises significant compliance challenges. ZS Principal Michael Shaw joins the podcast to discuss the importance of responsible and ethical AI adoption in the biopharma industry, particularly as it relates to compliance, risk management and improving patient outcomes. Highlights include: The importance of developing a comprehensive framework for responsible AI, focusing on principles like fairness, safety, transp...