pharmaphorum’s Post

🚀 𝐀𝐈 𝐓𝐨𝐨𝐥𝐬 𝐢𝐧 𝐀𝐜𝐭𝐢𝐨𝐧: 𝐌𝐲 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐰𝐢𝐭𝐡 𝐆𝐞𝐦𝐢𝐧𝐢'𝐬 𝐈𝐦𝐚𝐠𝐞 𝐈𝐧𝐭𝐞𝐫𝐩𝐫𝐞𝐭𝐚𝐭𝐢𝐨𝐧 🚀 Welcome to post #4 in my series on AI tool experiences! If you missed the previous posts, check out #ai_tips for more insights. In this post, I’m diving into the 𝒊𝒎𝒂𝒈𝒆 🖼 𝒊𝒏𝒕𝒆𝒓𝒑𝒓𝒆𝒕𝒂𝒕𝒊𝒐𝒏 𝒄𝒂𝒑𝒂𝒃𝒊𝒍𝒊𝒕𝒊𝒆𝒔 𝒐𝒇 ♊ 𝑮𝒆𝒎𝒊𝒏𝒊 𝑨𝑰. As of now, this feature is still in its early stages and isn’t quite there for more professional applications. For example, it struggled to interpret a part of a machine used in the 𝒑𝒉𝒂𝒓𝒎𝒂𝒄𝒆𝒖𝒕𝒊𝒄𝒂𝒍 ⚕ 𝒊𝒏𝒅𝒖𝒔𝒕𝒓𝒚. When tasked with identifying technical issues from a photo of a 𝒑𝒉𝒂𝒓𝒎𝒂𝒄𝒆𝒖𝒕𝒊𝒄𝒂𝒍 𝒇𝒊𝒍𝒎-𝒄𝒐𝒂𝒕𝒆𝒅 𝒕𝒂𝒃𝒍𝒆𝒕, the responses were inconsistent. However, it did fairly well with comparing two 𝑿𝑹𝑫 𝒄𝒉𝒂𝒓𝒕𝒔 and reading 𝑯𝑷𝑳𝑪 𝒄𝒉𝒓𝒐𝒎𝒂𝒕𝒐𝒈𝒓𝒂𝒎𝒔. 𝐈𝐧 𝐜𝐨𝐧𝐜𝐥𝐮𝐬𝐢𝐨𝐧, 𝐰𝐡𝐢𝐥𝐞 𝐆𝐞𝐦𝐢𝐧𝐢'𝐬 𝐢𝐦𝐚𝐠𝐞 𝐢𝐧𝐭𝐞𝐫𝐩𝐫𝐞𝐭𝐚𝐭𝐢𝐨𝐧 𝐢𝐬 𝐩𝐫𝐨𝐦𝐢𝐬𝐢𝐧𝐠, 𝐢𝐭’𝐬 𝐧𝐨𝐭 𝐲𝐞𝐭 𝐫𝐞𝐚𝐝𝐲 𝐟𝐨𝐫 𝐡𝐢𝐠𝐡-𝐭𝐞𝐜𝐡 𝐨𝐫 𝐩𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥 𝐭𝐚𝐬𝐤𝐬. If you found this post helpful, don’t forget to 𝒍𝒊𝒌𝒆 👍 and 𝒔𝒉𝒂𝒓𝒆 📤 . Stay tuned 🙂 for my next post coming soon! #AI #Pharmaceuticals #TechReview #GeminiAI #Innovation #Phamraceuticalindustry #Pharmacists #Know_How_Academy #Pharmaceuticalmanufacturing

Is the #pharma industry lagging in the AI revolution? If you're part of the #pharma industry and finding it tough to kickstart your week this fine Monday, here’s a bit of a wake-up call – A survey by Reuters Events Pharma, which canvassed around 300 industry experts, probed into the advancements in #AI usage within organizations. It turns out, only about 25% consider themselves as either advanced or industry-leading. What steps can be taken to propel the industry forward?

𝐀𝐈 𝐢𝐧 𝐏𝐡𝐚𝐫𝐦𝐚 & 𝐌𝐞𝐝𝐭𝐞𝐜𝐡 - 𝐅𝐨𝐜𝐮𝐬 𝐨𝐧 𝐆𝐱𝐏 🚀 Last week, I had the pleasure of delivering a training session on 𝐀𝐈 𝐢𝐧 𝐏𝐡𝐚𝐫𝐦𝐚 & 𝐌𝐞𝐝𝐭𝐞𝐜𝐡 (𝐆𝐱𝐏) for the fantastic team at KLIFO. A big thank you to Erik and the entire team for having me and for the stimulating discussions! 🙏 We explored the profound impact AI is having on the pharmaceutical and medtech industries, and how it's 𝐫𝐞𝐬𝐡𝐚𝐩𝐢𝐧𝐠 𝐆𝐱𝐏 𝐜𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞, bringing both new opportunities and challenges to the forefront. One of my key messages: 𝐒𝐓𝐀𝐑𝐓 𝐓𝐎𝐃𝐀𝐘. It’s imperative to begin using the tools you have available—whether it’s internal GPTs, Co-Pilot, or other AI tools. 𝐁𝐲 𝐝𝐨𝐢𝐧𝐠 𝐬𝐨, 𝐲𝐨𝐮 𝐛𝐮𝐢𝐥𝐝 𝐭𝐡𝐞 𝐧𝐞𝐜𝐞𝐬𝐬𝐚𝐫𝐲 𝐜𝐨𝐦𝐩𝐞𝐭𝐞𝐧𝐜𝐢𝐞𝐬 𝐭𝐨 𝐧𝐚𝐯𝐢𝐠𝐚𝐭𝐞 𝐭𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞. ImproveMatic #Training #Pharma #Medtech #AI

🤔 How can AI help me with agent training? 💡 AI pinpoints where agent training is needed and automates tasks. This checklist 📍 highlights how AI can help scale pharma market insights with 5 benefits of AI to start taking proactive steps in compliance with ROI. 📖 Download the full checklist to scale pharma market insights for your organization: https://hubs.li/Q02yVfKn0 #AIinHealthcare #AgentTraining #AgentCoaching #CallCenter #ContactCenter #MarketInsights #Pharma #ConversationData #ListenAtScale #Authenticx

#Healthcare, #Pharma, #Biohacking, Quantified self... Here's an example of what's ahead of us within the next few months / years thanks to AI / Gen AI. We're not ready, whole industries are not ready. They have to adapt to this wave (Tsunami).

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***MilliporeSigma-sponsored white paper on #AI #drugdiscovery*** Artificial intelligence is one of the biggest trends in pharma today, particularly in small molecule drug discovery. But for many small- and mid-sized biotechs, the costs and complexities of building a bespoke AI solution present a steep barrier to entry. This playbook, developed by Fierce Life Sciences, provides a practical and comprehensive guide to integrating AI into existing drug discovery programs, emphasizing: ✅ The importance of strategic planning, cross-functional teamwork and trust-building ✅ Practical steps for adopting AI, from evaluating data infrastructure to selecting the right AI tools ✅ The logistical and financial considerations necessary for successful implementation Download the playbook for free today and discover how to implement AI-enabled solutions to improve resource efficiency and a higher success rate during drug development.

In Part II of ODAIA's Guide to AI in Pharma series, our team explores the adoption of AI in the pharmaceutical industry and the importance of first identifying the specific business problem we're trying to solve. "While 90% of leaders believe AI is driving the next industry revolution, only 10% of AI projects make it into production". It’s not due to a lack of skill or will, but because these initiatives aren’t always tied to specific performance metrics that align with core business goals. Our very own Eric Ross has done an excellent job breaking this down in his latest post. He provides clarity on how the industry can rethink its approach to building a successful path with AI and machine learning in pharma. Feel free to reach out if you'd like to learn more or have a direct discussion with Eric about your AI strategy.

AI is transforming the life sciences industry. ProductLife Group’s latest report highlights how AI is enhancing drug discovery, regulatory compliance, and innovation. Explore how we’re piloting these technologies in pharmacovigilance, market access, and driving client success. #Commercialeyes #PLG #lifesciences #pharmatech #AI #AImedicine #AIpharma