In this paper we examine the expanding role of AI in the #biopharma industry. It finds how #AI biopharma companies will continue to grow and play a pivotal role in enhancing existing capabilities and bolstering pipeline activities. #ArtificialIntelligence #LifeSciences
Mayukh Roy Chowdhury’s Post
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What does the electrification of factories back in the 19th century have in common with applying AI to drug discovery today? For one, as our Chief Scientific Officer Markus Gershater points out in his latest piece for Technology Networks, both are new technologies that need time and significant changes to working practices. Realizing the full potential of electrification, for instance, didn't just involve swapping steam engines for electric engines. It meant making fundamental changes to how factories were run—something that took 50 years to take effect. And just like the promise that electric engines held in the 19th century, in drug discovery today the huge number of exceptionally diverse, AI generated targets are an opportunity: They represent a wealth of potential therapeutic programs. But as Markus warns, their potential could be wasted, unless the rest of the drug discovery process can ramp up to meet the challenge. Read his full piece here: https://lnkd.in/ehc6xNRq #DrugDiscovery #AI
How AI Is (So Close to) Transforming Drug Discovery
technologynetworks.com
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💡 Before last week's webinar on AI in Pharma, we asked a thought-provoking question: what are the biggest challenges Pharma companies face when integrating AI into their processes? Check out the table below for a summary of the respondents' insights. ➡️ Missed the webinar? Watch it now! https://lnkd.in/dTr9DHCd #Hyntelo #Pharma #AI #ArtificialIntelligence
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These results are not a big surprise! Most of these issues affect also more basic analytics processes and are even more impactful when you move into #AI. In my past and current experience data and data related processes have been and still are unfortunately the most undervalued topic impacting digital and omnichannel. Technology and systems alone do not solve the problems even if corporations spend tons of money into these without paying enough attention on enabling data driven process and building a culture around data. Technology is the easyest part of the equation but doesn’t help to move the needle much forward as I have seen many companies with the best and most advanced technologies not beeing able to work on data effectively and efficaciously. In my opinion tech savvy business stakeholders should be in the driving seat supported by IT and tech professionals. My job is to help companies enabling this journey and making things work... Any personal thoughts and experiences to share? #healthcare #data #artificialintelligence #customerexperience
💡 Before last week's webinar on AI in Pharma, we asked a thought-provoking question: what are the biggest challenges Pharma companies face when integrating AI into their processes? Check out the table below for a summary of the respondents' insights. ➡️ Missed the webinar? Watch it now! https://lnkd.in/dTr9DHCd #Hyntelo #Pharma #AI #ArtificialIntelligence
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From molecule to market🚀 In the Age of With, Artificial Intelligence is not a competitor but a collaborator. From reshaping business models to accelerating insights in the pharmaceutical industry, AI is the key to unlocking the Future of Health. Exploring a future, where AI isn't just a tool—it's a visionary force. Fantastic video shared from Deloitte 💡 #ai #lifesciences
AI in Pharma and Life Sciences
www2.deloitte.com
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Amplify Your Competitive Edge with AI-Augmented Intelligence Our solution combines the best of human expertise in pharma competitive intelligence with advanced AI, delivering sharper insights that empower you to make strategic decisions with confidence. Human intelligence meets AI innovation. Ready to lead the way? Meet us, Adarsh Hegde Rishi Srivastava Michael J Pischl at the Pharma CI Conference USA 2024 to know how! #PharmaCIUSA #AIPowered #Pharma #competitiveintelligence
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Most Pharma organizations are increasing AI investments. In fact, 66% expect a large or transformational benefit to clinical trials. Read the study to learn how senior industry leaders are thinking about driving change with AI.
Pharma: Applications of AI in Health & Life Sciences 2024 Study
salesforce.smh.re
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Most Pharma organizations are increasing AI investments. In fact, 66% expect a large or transformational benefit to clinical trials. Read the study to learn how senior industry leaders are thinking about driving change with AI.
Pharma: Applications of AI in Health & Life Sciences 2024 Study
salesforce.smh.re
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Most Pharma organizations are increasing AI investments. In fact, 66% expect a large or transformational benefit to clinical trials. Read the study to learn how senior industry leaders are thinking about driving change with AI.
Pharma: Applications of AI in Health & Life Sciences 2024 Study
salesforce.smh.re
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Most Pharma organizations are increasing AI investments. In fact, 66% expect a large or transformational benefit to clinical trials. Read the study to learn how senior industry leaders are thinking about driving change with AI.
Pharma: Applications of AI in Health & Life Sciences 2024 Study
salesforce.smh.re
To view or add a comment, sign in