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Real-world data provide insight into patient journeys, diagnosis, progression, and treatment. These insights are limited by what’s available in the data, and traditional techniques can leave key questions unanswered. Join Joseph Zabinski, Ph.D. and HealthEconomics.com | A Scientist.com Company for a webinar that will: ✅ Demystify #AI to understand how it can be applied to #realworlddata for creating digital ‘phenotypes’ in target patient groups ✅ Review examples of #digitalphenotyping for insight to the #patientjourney ✅ Evaluate the utility of digital phenotyping for answering questions around diagnosis, progression, and treatment 📍Register here: https://hubs.ly/Q02vMYPf0

Join InterSystems for an insightful panel discussion on Operationalizing AI in healthcare! 🏥 🔥 Hear from industry leaders on data-driven approaches and overcoming AI challenges: 🎙️ Don Woodlock, InterSystems 🎙️ CT Lin MD, FACP, FAMIA Lin, UCHealth 🎙️ Yaa Kumah-Crystal, MD MPH FAMIA, Vanderbilt University 🎙️ Laurent Rotival, Cambia Health Solutions 🎙️ Micky Tripathi, Berkman Klein Center for Internet & Society at Harvard University 🔍 Gain valuable insights to transform healthcare with AI. Reserve your spot now: #AIinHealthcare #OperationalizingAI #DataDrivenApproaches

🚀 Exploring the forefront of health care innovation with Azeem Azhar and special guest Eric Topol! 🏥💡 In this eye-opening conversation, they dive deep into the challenges and benefits of Generative AI in the medical field. 🤖🩺 Discover how AI is reshaping the landscape for health care professionals and medical scientists, and gain insights into the transformative changes witnessed by renowned cardiologist, scientist, and author Eric Topol. 🌐🔬 Whether it's navigating the intricacies of different AI models or uncovering the most groundbreaking medical technologies of the past year, this discussion is a must-listen for anyone passionate about the intersection of technology and healthcare. 🎙️✨ Don't miss out on unraveling the mysteries of AI's impact on medicine and join the conversation! #AIinHealthcare #GenerativeAI #MedicalInnovation #TechTalks 🚑🔍 https://lnkd.in/dCj_e5eB Azeem Azhar Harvard Business Review

Join me on Monday, October 16, for a thought-provoking panel discussion about the future of #AI in #rarediseases. Artificial Intelligence (#AI) promises to revolutionize rare disease research and care. Modern AI models can help radiologists read out diagnostic images faster and more reliably; create 'digital twins' so that clinical trials can achieve more with fewer patients and in less time; help researchers quickly narrow down the most promising lead compounds to reduce the failure rate in dug discovery; reduce the burden associated with various tedious administrative tasks; and so much more. But, what are the downsides? Will AI ultimately help or hurt health equity? How will FDA provide appropriate oversight, balancing the desire to see these applications come to market with the need to ensure they are appropriately validated and work reliably. And who can - or cannot - access the high-quality health data sets needed to adequately tune and validate these models (after all, garbage in - garbage out still applies). Join me and our distinguished panel our experts to find out.

Good read by @a16z on the intersection of AI and healthcare. The article highlights the immense potential of integrating good tech with healthcare to reduce the cost of diagnosis and prevent many diseases. https://lnkd.in/dCu9M76z #AI #healthcare #technology #innovation

Whether it be to simplify the way we conduct literature reviews or how we treat illnesses, AI is revolutionising the world of science with the power to pursue bolder, unchartered scientific territories. Just take the case of the AI-generated antibiotic that's able to combat what the World Health Organisation has labelled the most threatening antibiotic-resistant bacteria for hospital patients. Check out this article to read more about how AI is reimagining science: https://hubs.li/Q02795v70 #WHO #AIinScience #AI #ArtificialIntelligence #ScienceResearch

Frost & Sullivan’s power-packed Think Tank on “Driving Innovation in Precision Health with Generative AI Applications” had our distinguished panel of industry experts share their expertise and experiences on how Generative AI is fuelling innovation, unlocking the full potential of Precision Health and addressed pressing questions like: ·      How is your organization using generative AI models to improve drug target identification and molecule development for successful treatments? ·      How is your organization leveraging generative AI to associate multi-omics databases with individual phenotypes for personalized genome interpretations? ·      How is your organization leveraging generative AI to capture patient phenotypic data, including lifestyle and social determinants, for a more precise and proactive approach to healthcare?   If you watched missed attending the remarkable Think Tank, then you can watch the on-demand video here: https://frost.ly/8xm #PrecisionHealth #GenerativeAI #InnovationInHealthcare #FutureOfHealthcare Unmesh Lal / Aarti Natu Chitale / Louis Culot / Philips / Liran Belenzon (he/him) / BenchSci / Allen Ma / BGI Genomics / Sanjeev Wadhwa / Life Singularity, Inc. / Robin Joffe / Sowmya Srinath / Hani Al Sayed / Arun Stanly / Abdulaziz Jalab / Nimisha Iyer / Kruthika Ravi / Aishwarya Nair

From clinical trial diversity to real-world data, the pharma industry welcomes 2024 with a mix of old and new trends. And if you’re making plans to attend SCOPE, we’re getting ready to welcome you at booth 706. Stop by for a sneak peek of our game-changing new solutions. Catch you at SCOPE! In the meantime, read our article on 2024 trends and see if your predictions align with ours. https://ow.ly/nR3A50QrMgl #SCOPE2024 #AI #ClinicalTrialDiversity #RealWorldData

🔮✨ Welcome to the frontier of medicine: Viral Visions! 🧬🌟 Harnessing the transformative power of AI, we're embarking on a journey to redefine healthcare as we know it. Imagine a world where diseases are detected before they manifest, where treatments are personalized to individual needs, and where the boundaries of medical innovation are constantly pushed. This is the vision we're bringing to life. Through the lens of artificial intelligence, we're peering into the future of medicines, uncovering insights that were once confined to the realm of science fiction. From decoding complex genetic patterns to predicting drug interactions with unparalleled accuracy, the possibilities are limitless. But beyond the realm of technology lies a deeper purpose – the relentless pursuit of improving lives. With every algorithm, every data point, and every breakthrough, we're striving to make a tangible difference in the world of healthcare. Together, let's pave the way towards a healthier, brighter tomorrow. 💡💊 #ViralVisions #AI #FutureMedicine #HealthcareInnovation #MedicalRevolution #TechForGood #HopefulTomorrow #ScienceFictionToReality #UnlockingPotential #MedicalAdvancements #TechTips #AIHealth https://lnkd.in/e9K9wEnJ

Through our growing federated data network, including data from Mayo Clinic, Duke University Health System, Vanderbilt University Medical Center, and Banner Health, we pool diverse sets of structured and unstructured data. Leveraging federated AI, we can access local models based on these geographically distributed data sets to create new, consolidated models to identify new biomarkers and extract insights into new targets. Learn more about how our #federatedAI can help accelerate #drugdiscovery https://lnkd.in/eHc6Eg8A #Healthcare #HealthTech #ClinicalTrials #MedicalAffairs #LifecycleManagement #healthcaredata #AI #RWE