Generative AI impact on the pharmaceutical business model

Generative AI impact on the pharmaceutical business model


Few digital technologies are generating as much excitement as Generative AI (GenAI) – but how and where will it deliver the best value for pharma?

Adherents say GenAI has wide potential, from drug discovery and personalised medicine through to sales and marketing.

But what about challenges around compliance and data privacy?

How can GenAI influence pricing strategy?

In what ways can GenAI drive patient/physician engagement efficiency?

Companies

Roche, Sanofi, UCB, Google, Bayer, Amunix Pharmaceuticals, Insilico Medicine, IQVIA, McKinsey & Co, Illumina, Owkin, Recursion, BenevolentAI, Dr Reddy's Laboratories, ZS Associates, DeepMind, Exscientia, Atomwise, Iktos, NVIDIA, OpenAI, Relay Therapeutics, Synthesia.io, Accenture, Autodesk, Scribe, GitHub, Speechify, LucidQuest, Aily Labs, Hillo, BioMed X, BioMap, BostonGene, Ginkgo Bioworks, Vevo Therapeutics, Boltzmann Labs


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Drug discovery and development
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Regulatory compliance
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Personalised medicine
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Pricing
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Marketing and consumer engagement
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Long-term business strategies
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Limitations and ethical challenges of using GenAI
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Future impact of GenAI on pharma’s business model
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