Revolutionizing Life Sciences R&D: The Power of Intelligent Automation and GenAI "Life sciences companies are using artificial intelligence (AI) to transform drug discovery by extracting concepts and relationships from data. By 2030, the time required for screening to preclinical testing will be reduced only a few months, and new potential drug candidates would be identified at more affordable prices." - Deloitte: 2023 Global Life Sciences Outlook 🧬 UiPath has released a white paper on the transformative impact of combining intelligent automation with Generative AI (Gen AI) in Life Sciences R&D. Patterns such as personalized message generation, context-driven analysis, and conversational assistant enhancements are paving the way for unprecedented efficiency and responsiveness. The synergy of automation and Gen AI is showcased through various use cases, including Pharmacovigilance processes, patient/donor screening, regulatory submissions, narrative generation, and SOP documentation queries. Key Points: 🔷 Pattern 1: Personalized Message Generation Context gathering for crafting personalized messages. Application in regulatory forms and complex responses. 🔷 Pattern 2: Context-Driven Analysis Automation analyzes data for the next best action. Embedding business context into responses or workflows. 🔷 Pattern 3: Conversational Assistant Enhancement Automation adds context and action to verbal or text queries. Initial stages with tremendous growth potential in verbal query interfaces. 🔷 Use Cases and Impact: 🔹Pharmacovigilance Process (PV): Gen AI-enhanced automation streamlines data analysis and submission processes, making them more intuitive and responsive. 🔹Patient/Donor Screening: Coordinating appointments, guiding through questionnaires, and generating follow-up documents for personalized therapies. 🔹Regulatory Submissions (NDA/BLA): Gen AI expedites the completion of new product submissions, potentially saving 10-20 weeks and generating substantial revenue benefits. 🔹Narrative Ability: Gen AI's ability to generate narratives accelerates data analysis, impacting clinical data summaries and more complex scenarios. 🔹Query SOP Documentation: Gen AI reviews extensive SOP libraries, providing real-time responses to user queries, and enhancing process execution. In 2023, we witnessed a remarkable evolution of the emergence of GenAI. In 2024 we will see the beginning of AI-enabled automation, propelling us into a new era of efficiency and discovery. #IntelligentAutomation #GenAI #LifeSciences #ResearchAndDevelopment #Innovation #uipath 𝗡𝗼𝘁𝗶𝗰𝗲: The views expressed in this post are my own. The perspectives within any of my posts or articles are not those of my employer or the employers of any contributing experts. 𝗟𝗶𝗸𝗲 👍 this post? Click 𝘁𝗵𝗲 𝗯𝗲𝗹𝗹 icon 🔔 for more!
I don't see any difference between our 3rd pattern and the Intelligent Assistants they are talking about. There is no difference at all. And the assistants can talk to each other.
My understanding - Imagine a team of doctors and cutting-edge medical devices working together to quickly and accurately identify illnesses. For example, when it comes to patient screening, this technology can be compared to a super-efficient nurse who not only schedules appointments but also asks patients the right questions and generates personalized therapy plans. Doug how do you envision the impact of AI and automation on the healthcare industry in the coming years?
Thanks for sharing this Doug,great, insightful write up based on the whitepaper, with the focus on 2024 being on multi modal and model LLMs it would be intresting to see the newer usecases that could come in the future. Could you also share the link for the whitepaper?
Insightful to learn about various patterns and use cases! Thanks for sharing Doug!
Global Intelligent Automation & GenAI Leader | AI Agent Strategy & Innovation | Top AI Voice | Top 25 Thought Leaders | Co-Host of InsightAI | Speaker | Gartner Peer Ambassador | Forbes Technology Council
1yJust to point out. I still like how I described how to bring in and deliver on GenAI. I call this AI-Spanning. https://www.linkedin.com/posts/doug-shannon_ai-spanning-where-automation-and-ai-meet-activity-7120038264933126144-tMux?utm_source=share&utm_medium=member_desktop 😁