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This upcoming webinar is not to be missed if you're curious how life sciences should be leveraging AI and RWE.

Register for our Endpoints News webinar next month to know what to ask before you engage in your next RWE project!

🚀🏥 We are at the cusp of a transformative era in healthcare! At the #LondonBiotechnology Show 2024, Microsoft's #ThomasBalkizas unveiled how AI is poised to revolutionise the sector. From accelerating clinical trials to devising personalised medicine, AI is transforming from a helpful tool to a game-changer in healthcare. Balkizas emphasised the profound impact of Generative AI, enhancing everything from routine administrative tasks to complex clinical processes. This "tipping point" marks the dawn of a new era where AI becomes an integral part of healthcare innovation.🔗 #AI #HealthcareInnovation #Microsoft #Biotechnology #GenerativeAI #PersonalisedMedicine

US Connect 2024 – Meet the Panel 'Revolutionising Clinical Trials: The Impact of Generative AI on Clinical Data Science' will be the second panel discussion at the upcoming US Connect, 25–28 February. This panel will explore the transformative role of generative artificial intelligence (AI) in the realm of clinical data science, shedding light on how these advancements in technology can reshape how clinical trial data is captured, managed and analysed. Here are just some of the questions that our expert panellists will address: ↳ What are the major obstacles to implementation and what can we do to help overcome the obstacles and move the bar? ↳ What is your prediction for the future? What will change and what will stay the same? ↳ What are some future applications for generative AI and how could they impact on current people, processes and technologies? What are the pros/cons? Register for the US Connect: https://lnkd.in/ehvjeNNe Full Agenda: https://lnkd.in/eGqjTqYv #PHUSE

In the rapidly advancing field of #ClinicalResearch, precision and efficiency in #ProtocolManagement are more crucial than ever. Our latest blog explores groundbreaking innovations reshaping how clinical trials are conducted. From leveraging AI and Machine Learning to transform data handling to adopting Decentralized Trial Models that enhance patient accessibility, we’re witnessing a transformation in the way clinical studies operate. - Discover how AI is providing actionable insights faster than ever. - Learn about the shift towards more inclusive, decentralized trial models. - See how digital tools are improving patient engagement and compliance. These advancements are not just setting new standards — they are redefining the paradigms of clinical research. Join us as we delve into these technologies and strategies that promise to elevate protocol management to unprecedented levels of efficacy and precision. 🔗 https://hubs.ly/Q02sYBsb0 Dive into our full blog to see how these innovations are paving the way for a more efficient and effective future in clinical research. #ClinicalResearch #Innovation #HealthcareTechnology #AI #PatientCare #ProtocolManagement #Efficiency

Join our webinar to learn how our clients are using the latest NLP tools, including large language models (LLM), to support clinical trials including:  ·      Protocol digitalization   ·      Endpoint design and benchmarking   ·      Gaining competitive intelligence   https://lnkd.in/exW_Xh9U #AI #AIinPharma #CompetitiveIntelligence

🚦 A robust proof of mechanism increases the likelihood a drug discovery project will advance from clinical development to market launch, but gathering this evidence is arduous. 💡Cutting-edge AI and NLP-powered data curation has the potential to help researchers understand and evidence mechanism of action with far greater efficiency and reliability. Request the case study showing two examples of these techniques>> https://lnkd.in/esRmYKjU Explore what the most advanced data curation in biopharma can do for better mechanism of action understanding>> https://lnkd.in/en-GWKn4

📰 Nature reported on the recent EARMA AI Day, where experts like Suze Kundu (Digital Science) and Kasper Nørgaard (Novo Nordisk Foundation) discussed using AI tools in research funding. A key opportunity highlighted: using AI to help identify promising yet overlooked researchers/ideas and break out of a narrow funding cycle favouring previously successful applicants. Good idea! 💪 👀 🎯 In my view, AI could be leveraged to recommend more diverse, multidisciplinary evaluation panels. This could bring fresh perspectives to better assess novelty, impact and relevance beyond disciplinary boundaries. Moreover, AI analysis of CVs, paper titles/abstracts etc. could help spot the best-suited evaluators from different pools of experts for any given proposal. By responsibly combining AI-augmented panels with human expertise, we may enable a richer, more balanced funding process that unlocks transformative research cutting across fields. What's your take on using AI to enhance evaluation diversity and panel curation? 🧐 https://lnkd.in/djPdhaRw

Artificial Intelligence in Drug Development - IQVIA: Discover IQVIA's insights on integrating Artificial Intelligence (AI) and Machine Learning (ML) in drug development. This white paper, authored by ... http://dlvr.it/TBZvcQ

Join our webinar this week to learn how using the latest natural language processing (NLP) tools, including large language models (LLM), can support clinical trials including protocol design, endpoint design and benchmarking and more. https://lnkd.in/exW_Xh9U