Artificial Intelligence
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Listen to this in-depth discussion on how AI can help identify end-to-end data weaknesses, as well as broader implications regarding the inevitability of human interaction, with guests from GSK, IQVIA, Exelixis and DataHow.
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White House and Congress Propose AI Legislation as FDA Continues to Act as AI Regulatory Gatekeeper
11/22/2023
Both the White House and Congress have proposed legislation for the appropriate use of AI while the FDA continues to serve as the gatekeeper for patient privacy and safety. -
This is part one of a discussion focused upon data bias, accuracy, access and the future of AI in drug development. Topics explored are ROI, human bias, data challenges, data management plans, and human expertise.
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In this Special Edition of ClinicaSpace, BioSpace examines how small, medium and large companies are using artificial intelligence and machine learning to enhance their drug discovery efforts.
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More and more companies are turning to artificial intelligence for drug safety prediction, but as with any new application of AI, experts urge caution.
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The biopharma industry is moving toward using AI to try to determine how well a given person would perform in a role, with applications that go beyond recruiting.
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High multiplexed patient-centric assays could reduce patient burden
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A Discussion with IQVIA’s Michelle Gyzen Sr. Director, Regulatory Affairs and Drug Development Solutions
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New platforms are emerging to help biopharma companies fill their human studies more efficiently, but barriers remain to their successful implementation.
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AI and machine learning could transform drug discovery, but first, practitioners must overcome ethical challenges en route to medicines for all.
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Google and Microsoft are already making inroads into drug development, but smaller biotechs focused on AI may end up leading the charge.