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🚀 Dedalus and LynxCare: Innovating Clinical Research with AI! 🤝 We’re excited to announce our partnership with LynxCare to enhance Trials For Care (#T4C) and transform clinical research and Real-World Evidence (#RWE) studies. By combining Dedalus’ healthcare expertise with LynxCare’s advanced AI and Natural Language Processing (#NLP) solutions, we’re unlocking new opportunities for clinicians, hospitals, and life sciences. 🔑 Key Benefits: • Enhanced trial recruitment and patient insights • Advanced data extraction for deeper research • A secure data network supporting global healthcare providers 📣 Jörg Stieg, Head of Analytics at #Dedalus, and Jeanne Kehren, CEO of LynxCare, both underscore the importance of data-driven transformation in healthcare, empowering research in #Oncology, #Cardiovascular Disease, #Immuno-Oncology, and beyond. Learn more about how we’re driving innovation in healthcare. 👉 https://lnkd.in/d_Cccm9H #HealthcareInnovation #AI #ClinicalResearch

The AI in Health care course by MIT is great for all 'Bridgers' interested in linking AI innovations and the healthcare industry to accelerate diagnosis and improve patient care. The topics explored include: - Utilizing AI for disease diagnosis and patient monitoring - Harnessing Natural Language Processing (NLP) in healthcare contexts - Unpacking the importance of interpretability in Machine Learning - Patient risk stratification and optimizing clinical workflows - Real-life case studies, including breast cancer prediction models - Crafting our own AI framework to tackle healthcare problems of choice. #AI #HealthcareInnovation #MIT #Bridgers

🚨 Exciting Research Update from Saventic Health! 🚨 We’re thrilled to share our latest publication in collaboration with BP - A Beneficência Portuguesa de São Paulo at Blood (2024), the prestigious journal of the American Society of Hematology, which highlights a significant breakthrough in the use of artificial intelligence (AI) to improve the diagnosis of Idiopathic Multicentric Castleman’s Disease (iMCD)—an ultra-rare and challenging condition to detect. 💡 Key Insights from the Study: - iMCD Diagnosis Challenge: With only 6.9-9.7 cases per million in the U.S. and a median diagnostic delay of 18 months in Brazil, early identification is critical but difficult. - Our AI Solution: By leveraging advanced natural language processing (NLP) techniques (SPACY, BERT) and electronic health records (EHR), our AI-based algorithm identifies clinical and laboratory features of iMCD that may go unnoticed in routine medical evaluation. - Impact: Screening nearly 595,000 patient charts from a tertiary Brazilian hospital, the algorithm flagged 102 patients with potential iMCD features. Among them, three required further assessment, underscoring the potential of AI in narrowing diagnostic gaps. 🔬 Why It Matters: This pioneering tool could revolutionize the way we screen for rare diseases like iMCD, ensuring timely diagnoses and improving patient outcomes. 📘 Looking Ahead: As we refine this AI-driven approach, we’re optimistic about its application in other rare conditions, bringing us closer to personalized and proactive healthcare for all. 🔗 Read the full article in Blood Magazine here: https://lnkd.in/gxQF5cUF At Saventic Health, we remain committed to harnessing cutting-edge technology to transform rare disease diagnostics. Join us in this journey! #RareDisease #ArtificialIntelligence #HealthcareInnovation #CastlemanDisease #SaventicHealth

Dear Colleagues,    We are excited to announce that submissions are now open for the IMAGINE AI 2024, taking place at Marina Bay Sands on 5 to 6 December 2024. As part of our commitment to exploring the transformative potential of AI in healthcare, we invite you to submit your abstracts for consideration and showcase your innovative research at this prestigious event!       Areas of Interest:       We welcome abstracts on a wide range of AI-related topics in healthcare, including (but not limited to):    • Medical Imaging & Diagnostics    • Personalized Medicine    • Natural Language Processing (NLP), Large Language Models & GenAI in Healthcare    • Drug Discovery and Development    • Healthcare Robotics and Wearables    • Public Health & Epidemiology with AI    • AI and Big Data in Healthcare    • Ethical Considerations in AI for Medicine: Trust, Fairness, and Privacy       Why Submit?       This is a unique opportunity to present your research to an international audience, engage with experts in the field, and explore how AI is shaping the future of healthcare. Awards will also be given for the best submissions:    • 1st Prize: SGD 500    • 2nd Prize: SGD 300    • 3rd Prize: SGD 200       Submission Deadline: All abstracts must be submitted by 30 September 2024.       To submit your abstract or to find more information, visit https://sg-ai.org/expo or scan the QR code on the attached flyer.       We encourage all researchers, innovators, and healthcare professionals to participate and share their cutting-edge work with the broader AI community. Let’s push the boundaries of healthcare innovation together!       #medicalAI #ntusg #lkcmedicine #datascience #hackathons #conference

Qure.ai: Disrupting the radiology ‘status quo’. Check out our most recent publication in Cureus: Journal of Medical Science #letsqureit

Check out the best hospitals in patient experience - as determined BY patients

𝗖𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗔𝗜 ✨ Today's the day! Join us today Friday 9/20 at 12pm ET (9am PT; 6pm Berlin) 𝘃𝗶𝗿𝘁𝘂𝗮𝗹𝗹𝘆 on Zoom. Links at 👉 www.dfhcc.ai #ai #artificialintelligence #medical #biomedicalresearch #research #oncology #chatgpt #datascience #computervision #nlp #clinicalai #medicalai #clinicalresearch #impact #aiforgood #opensource

WATCH: AJMC - The American Journal of Managed Care sat down with Wanmei Ou, VP of Product, Data Analytics and AI at Ontada to discuss our recently announced partnership with Microsoft, the role of AI and natural language processing in oncology data, and more. View the full video interview: https://lnkd.in/gFFNWdfj #RWE #RWD #Cancer #NLP #ThoughtLeadership

Exploring the Transformative Role of AI in Healthcare and Research Artificial Intelligence (AI) is revolutionizing the healthcare industry, offering unparalleled advancements in both clinical practice and medical research. My presentation delves into the practical applications of AI, highlighting its immense potential to enhance diagnostics, streamline hospital management, and uncover groundbreaking insights in medical research. Key topics include: - AI's role in improving diagnostic accuracy in areas like cancer detection and diabetic retinopathy. - The use of Natural Language Processing (NLP) to interpret unstructured medical data. - Innovations in robotic surgeries, predictive analytics, and clinical trials. - AI tools that assist healthcare professionals and researchers in making informed decisions, ultimately leading to better patient outcomes. We are witnessing the dawn of a new industrial revolution driven by AI, and this transformation is set to fundamentally reshape the healthcare landscape. However, while AI brings immense benefits, it also raises important concerns about data accuracy and the irreplaceable human touch in patient care. #AIinHealthcare #MedicalInnovation #HealthcareRevolution #ArtificialIntelligence #DigitalHealth #FutureOfMedicine #HealthTech #MedicalResearch #AIRevolution #SmartHealthcare #AIForGood #RoboticSurgery #PredictiveAnalytics #TechInMedicine #AIResearch

🚀 AI in Medicine: Revolutionizing Healthcare 🚀 Artificial intelligence (AI) is rapidly transforming the healthcare landscape. From enhancing diagnostic accuracy to personalizing treatment plans, AI is driving a healthcare revolution. 🔍 Key Takeaways: AI-powered clinical decision support systems are improving diagnostic precision and tailored treatments. AI in medical imaging is advancing early disease detection and treatment monitoring. Natural language processing (NLP) is optimizing data entry and extracting valuable insights from medical records. AI-assisted drug discovery is accelerating the development of new therapeutic solutions. 🌟 The Transformative Potential of AI: AI promises to address significant healthcare challenges, improve efficiency, and offer more personalized patient care. It aids in better decision-making, resource management, and delivering customized treatments. 🌐 Addressing Modern Healthcare Challenges: AI is tackling high costs, chronic disease prevalence, and the demand for faster care by leveraging data for accurate predictions and customized care solutions. 🤖 AI in Medical Practices: From diagnostics to surgery, AI is revolutionizing medicine: Enhancing diagnostic accuracy by analyzing extensive patient data. Personalizing treatments by considering individual health backgrounds and genetics. Improving surgical precision through robot-assisted procedures. 📈 Predictive Analytics: AI and predictive analytics are personalizing care and optimizing healthcare operations by forecasting needs and improving resource allocation. 🌟 Future Outlook: AI's impact on healthcare is just beginning. With ongoing advancements, we can expect smarter, more personalized, and efficient patient care. Let's embrace this exciting future in healthcare powered by AI! 🌟 #AIinHealthcare #MedicalInnovation #FutureOfMedicine #HealthcareRevolution 🔗 Read the full article: https://lnkd.in/e5fj-Jan