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𝐀𝐈 𝐢𝐧 𝐏𝐡𝐚𝐫𝐦𝐚: 𝐍𝐚𝐯𝐢𝐠𝐚𝐭𝐢𝐧𝐠 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬, 𝐄𝐦𝐛𝐫𝐚𝐜𝐢𝐧𝐠 𝐀𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞𝐬 Artificial intelligence (AI) is revolutionizing the 𝐩𝐡𝐚𝐫𝐦𝐚𝐜𝐞𝐮𝐭𝐢𝐜𝐚𝐥 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 by speeding up research and development and optimizing workflows. However, creating reliable AI models for such complex environments comes with significant challenges. From stringent regulatory requirements to the need for transparency, the 𝐩𝐡𝐚𝐫𝐦𝐚 𝐬𝐞𝐜𝐭𝐨𝐫 must address these hurdles to realize AI's full potential. But it’s not all obstacles. The advantages of implementing AI—enhanced efficiency, personalized treatments, and cost savings—far outweigh the challenges when deployed effectively. In our latest article, Fausto Artico, PhD and Kevin Harrigan dive deep into the critical challenges AI faces in pharma and share actionable solutions. Learn how to scale AI models to unlock powerful advantages for your company! 𝐑𝐞𝐚𝐝 𝐭𝐡𝐞 𝐟𝐮𝐥𝐥 𝐚𝐫𝐭𝐢𝐜𝐥𝐞 𝐡𝐞𝐫𝐞: https://lnkd.in/g8Cy5spR 𝐕𝐢𝐬𝐢𝐭 𝐏𝐡𝐚𝐫𝐦𝐚 𝐅𝐨𝐜𝐮𝐬 𝐀𝐬𝐢𝐚: https://lnkd.in/dxkGndFf #aiinpharma #pharmaceuticals #healthcareinnovation #aimodels #pharma #airegulation #pharmatech #digitaltransformation #artificialintelligence #datascience #machinelearning #medtech #healthai #futureofpharma #drugdevelopment #pharmafocusasia #pharmafocus #pharmaceuticals #biotechnology #pharmafocusarticles

💡A major message refresh can be very time-consuming! From the first messaging workshop to having an LMR-approved vis-aid, it can take 6-12 months to implement a message refresh. If there is no new clinical data, the upside opportunity of the message refresh can seem not worthy of the time commitment. Messaging AI offers a faster, cheaper, and better approach to message refresh, staying competitive and gaining a competitive advantage. Learn from a real-world case study of how a $1 billion brand implemented a message refresh in just 12 weeks by leveraging AI. #Pharmaceutical #pharma #messagerefresh #AI

🔹 Check our overview of the industrial environment with regard to the use of #AI in drug development, clinical research, and other areas of pharmaceutical R&D. In addition to benchmarking the performance of the major actors which define the space and relationships within the sector, this overview highlights trends and insights in the form of educational mind maps and infographics. 🔹 This overview analysis is designed to assist the reader understand what is going on in the market right now and perhaps provide a #glimpse of what is to come. 🔹 The report offers technical #insights into some of the most recent developments in AI application and research in addition to investment and business trends. #AI #drugdevelopment #research #onlinecourses #SymmetricTraining

At Metrix, we're committed to leveraging the power of AI to drive innovation and efficiency in the pharmaceutical industry. We're thrilled to share that we've been recognized in Papercurve' s latest article, "𝐁𝐞𝐬𝐭 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬 𝐟𝐨𝐫 𝐘𝐨𝐮𝐫 𝐍𝐞𝐱𝐭 𝐀𝐈 𝐏𝐫𝐨𝐣𝐞𝐜𝐭", highlighting our approach to AI implementation. In the article, Papercurve outlines essential steps to successfully integrate AI into your business including: 🔹Defining SMART Objectives 🔹Starting with a Pilot Project 🔹Ensuring Quality Data 🔹Gaining Stakeholder Support One of the standout points is the emphasis on training and onboarding. As noted in the article, "Poor training and onboarding of stakeholders and end-users is one of the leading causes of sub-optimal implementation of AI." We couldn't agree more! Find the full article in the first comment of this post. #AI #Innovation #Pharmaceuticals #Metrix #Papercurve #LearningAndDevelolpment #HealthcareMarketing

SPOTLIGHTS (Part 1) Let's talk about hard data about AI. We all know the benefits of using. We all agree the power it comes with it and benefits it brings, but do we know the results? The Life Sciences industry is ready for results. Check this out! SPOTLIGHT (Part 2) coming next!! TransPerfect Life Sciences TransPerfect GlobalLink #AI #generativeAI #future #Transperfect #lifesciences #pharmaceuticals #pharma

According to Precedence Research, the global pharmaceutical AI market will reach over USD 11,813.56 million by 2032 📈 This surge underscores the transformative potential of AI models in reshaping business models, streamlining processes, and enhancing areas like drug research and clinical trial management. Yet, to harness the true power of AI, one crucial foundation is necessary: proper data preparation. 📩 Join us as Matvii Kovtun, our Senior Data Scientist, explains the stages of preparing pharmaceutical datasets for AI consumption to ensure reliable results. Read our latest article to learn practical insights: https://lnkd.in/dPuD9QZD #Avenga #AvengaInsights #AIinPharma #DataPreparation #PharmaceuticalInnovation

Are you looking to stay ahead of the curve in the pharmaceutical industry?💊 Our latest newsletter is packed with insightful articles on the top trends shaping the industry in 2024. Inside, you'll find: ➡️ Top Trends: Discover the key factors driving change in the pharmaceutical landscape. ➡️ AI and Technology: Learn how AI and new technologies are revolutionizing drug discovery and development. ➡️ Social Media Insights: Understand how social media is providing valuable insights into HCP sentiment. Don't miss out on this valuable resource. https://shorturl.at/nVAKq #PharmaceuticalIndustry #IndustryTrends #AI #Technology #SocialMedia #HCP #Healthcare

💡  𝐇𝐨𝐰 𝐢𝐬 𝐀𝐈 𝐬𝐡𝐚𝐩𝐢𝐧𝐠 𝐭𝐡𝐞 𝐡𝐮𝐦𝐚𝐧 𝐟𝐚𝐜𝐭𝐨𝐫 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐡𝐚𝐫𝐦𝐚 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲?   AI is playing an important role in the analysis of patterns and trends within ‘big health data’. From faster drug discovery processes to its use in molecular predictions. But don't forget the human factor, which is going to be more crucial the upcoming years. Read 👉 how AI is shaping the industry in our latest blog 📖 https://bit.ly/3TPgI82.   #brunelbulletin #lifesciences #pharma #pharmaceuticals #AI #artificialintelligence 

A great post by my colleague Matt de Gruchy after Reuters Events Pharma, which had me thinking about the people side of the #GenAI revolution – specifically the #behaviours that need to be fully embedded to deliver on the tech's promise for pharma. Here’s my starter for five: 🧪 Be open to innovation – it’s one of the most innovative industries, so think like pharma. Be open to exploring new approaches and techniques, and try, test and experiment. ❓ Think critically – question and verify AI-generated outputs with rigorous inspection and testing. Use your powerful human judgement to apply GenAI and its outputs in an effective, reliable and ethical way. 🤔 Show curiosity and adaptability – acknowledge that you don’t have all the answers, and be curious about AI-generated insights. Focus on the questions you ask, be receptive to insights, and be adaptable enough to adjust your strategies and hypotheses. ⭕️ Think holistically and iteratively – relevant, specific context is a crucial input to GenAI, but do make space for exploration from all angles. Also allow for multiple iterations of input, refinement and validation to get the best outcome. 🤝 Collaborate – have an enterprise mindset, and maximise the collective expertise of diverse teams to exploit the full potential of GenAI. Work across organisational barriers, sharing data, integrating domain expertise and encouraging collaboration. When I reflect on those, it seems to me that those five behaviours should be well established in pharma organisations. It’s a sector used to driving innovation, to questioning and testing, adapting and iterating, and to working together to enhance outcomes for patients. So the adoption of AI should be plain sailing. Am I right, or is there something about the application of the behaviours to such a transformative technology that might create fresh challenges? Are the behaviours not as embedded as they need to be, or are there other barriers? Let me know what you think! #pharma #culture #innovation

The fact that AI generally struggles to find useful models when the amount of available data is small and sparse, as is the case in drug discovery, underscores the importance of Verseon’s innovative Extreme AutoML. https://lnkd.in/gUDrbFVC #AI, #drugdiscovery, #machinelearning, #pharmaceuticals, #X-ELM, #Verseon