Citeline Clinical’s Post

Check out the latest DeciBio Ad Board on AI in Drug Discovery My colleague Luka Jelcic conducted in-depth interviews with 10 different pharma stakeholders covering discovery, data management, digital innovation, advanced analytics, AI strategy, AI & ML analytics, and clinical innovation. One question that was particularly interesting to me was: "How does Pharma decide whether to develop AI capabilities in-house or with external partners?" Download the Ad Board Here: https://lnkd.in/gT6JAJVh Anything else our team should include in our continuing assessment of this growing market? Let us know. #artificialintelligence #precisionmedicine #drugdiscovery

My colleagues, Eric Berger, Robbie Sandig, and KC George shares how large and small pharma companies are succeeding with generative AI and the three-tiered approach guiding them to the forefront. Key takeaways include the importance of priming operating models and leveraging scale for breakthroughs. https://dy.si/dT7FsM2

My colleagues, Eric Berger, Robbie Sandig, and KC George shares how large and small pharma companies are succeeding with generative AI and the three-tiered approach guiding them to the forefront. Key takeaways include the importance of priming operating models and leveraging scale for breakthroughs. https://bit.ly/3Wp3PRt

In an era where specialty drug costs are escalating and treatment regimens are becoming increasingly complex, specialty practices are feeling the pressure on their profit margins. Add to this the ever-changing payer regulations, and it's clear that innovative solutions are needed. Could the integration of machine learning and artificial intelligence (AI) be the game-changer these practices need to drive meaningful improvements? Download our whitepaper here: https://lnkd.in/ggu5HfXg

How can AI and real-world data help accelerate clinical development? My McKinsey colleagues dive deep into the benefits of AI-enabled drug discovery, give tangible use cases and associated impact, and identify challenges companies face when adopting AI for clinical development here: https://lnkd.in/ewS5dGNy Want to learn more? Check out McKinsey’s eight-ingredient recipe for R&D success in life sciences here: https://lnkd.in/em7E9SW2

Artificial intelligence is transforming drug development at record speeds. To make sure you’re using this technology with consistent success, you must know the challenges ahead. ZS’s Bruce Press will join a panel discussion on the highs, lows and future of drug discovery in an AI world. Join us to learn how real-world companies are using AI to succeed along with the impact their work is making on patient outcomes. Learn more: https://bit.ly/3zJoFE2

Artificial intelligence (AI) has exploded in popularity, making the predictions of its impact on healthcare much more real. We've all seen glimpses with user-friendly tools, but AI's true potential in diagnostics, drug development, and patient care is vast and can be overwhelming. This new book cuts through the noise with 100 focused questions and clear answers, guiding you through the essentials of AI in healthcare. https://lnkd.in/e7ZbmHWk

How can AI and real-world data help accelerate clinical development? My McKinsey colleagues dive deep into the benefits of AI-enabled drug discovery, give tangible use cases and associated impact, and identify challenges companies face when adopting AI for clinical development here: https://lnkd.in/e2PVcgND Want to learn more? Check out McKinsey’s eight-ingredient recipe for R&D success in life sciences here: https://lnkd.in/e_fRbDec

How can AI and real-world data help accelerate clinical development? My McKinsey colleagues dive deep into the benefits of AI-enabled drug discovery, give tangible use cases and associated impact, and identify challenges companies face when adopting AI for clinical development here: https://lnkd.in/e_hGebyV Want to learn more? Check out McKinsey’s eight-ingredient recipe for R&D success in life sciences here: https://lnkd.in/enZmnc_4

Artificial intelligence is transforming drug development at record speeds. To make sure you’re using this technology with consistent success, you must know the challenges ahead. ZS’s Bruce Press will join a panel discussion on the highs, lows and future of drug discovery in an AI world. Join us to learn how real-world companies are using AI to succeed along with the impact their work is making on patient outcomes. Learn more: https://bit.ly/3zJoFE2