How Johnson & Johnson Uses Generative AI to Address Health Care Biases

Video Interview with Pablo Damasceno, Principal Scientist at Johnson & Johnson Innovative Medicine

Deborah Yao, Editor, AI Business

December 12, 2023

1 Min Read
Pablo Damasceno, Principal Scientist at Johnson & Johnson Innovative Medicine
Pablo Damasceno, Principal Scientist at Johnson & Johnson Innovative Medicine. Informa Tech

In this interview from the AI Summit New York, Informa Tech editorial director Chuck Martin talks to Pablo Damasceno, Principal Scientist at Johnson & Johnson Innovative Medicine. Damasceno explains how Johnson & Johnson uses generative AI and diffusion models to address bias and improve equity in health care.

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About the Author(s)

Deborah Yao

Editor, AI Business

Deborah Yao is an award-winning journalist who has worked at The Associated Press, Amazon and the Wharton School. A graduate of Stanford University, she is a business and tech news veteran with particular expertise in finance. She loves writing stories at the intersection of AI and business.



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