FDA Solicits Feedback on the Use of AI and Machine Learning in Drug Development
The FDA has recently turned its attention to the growing use of artificial intelligence and machine learning in drug development.
Matthew Chun
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What are the risks of using generative AI systems like ChatGPT in medical practice, and who is ultimately held responsible for patient harm?
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A neuroscientifically informed consumer confusion test for trademark infringement holds promise for reducing biases and manipulations.
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Read more: How Artificial Intelligence is Revolutionizing Drug Discovery How Artificial Intelligence is Revolutionizing Drug Discovery
By Matthew Chun In recent months, generative artificial intelligence (AI) has taken the world by storm. AI systems like ChatGPT and Stable Diffusion have captured the imagination of the masses with their impressive and sometimes controversial ability to generate human-like text and artwork. However, it may come as a surprise to some that — in…
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By thinking carefully about what justice should entail, the scientific community will be better able to tailor their response to Dr. He.
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This article considers both federal and state considerations around the legality of self-operated assisted suicide devices.
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Read more: Book Review: ‘Drugs and the FDA: Safety, Efficacy, and the Public’s Trust’ by Mikkael A. Sekeres Book Review: ‘Drugs and the FDA: Safety, Efficacy, and the Public’s Trust’ by Mikkael A. Sekeres
“Drugs and the FDA” is a must-read for anyone interested in how the FDA became the trusted regulatory agency it is today.
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As countries become more sensitive to the risks of sharing their citizens’ health data, international research collaborations will become more difficult.
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Biden’s new initiative takes an expansive view of the roles of biotechnology and biomanufacturing in the United States economy.
