Bioinformatics Institute, A*STAR’s Post

Modella AI, Inc. has announced the launch of its multimodal foundation models and generative AI copilots to revolutionize pathology and enhance diagnostic precision. Originating from the Mahmood Lab at Harvard Medical School and Mass General Brigham, these AI models improve accuracy, efficiency, and interactivity in medical imaging analysis. By leveraging extensive datasets, the models support tasks like disease detection, prognosis, and therapy prediction, providing scalable solutions to global medical needs. Follow the link to read the article in full... https://lnkd.in/eW4VaHeM #digitalpathology #pathologynews

❗Exclusive Webinar: Tackling Bias in Medical Imaging AI with Synthetic Data Data bottlenecks from access to annotation remain the biggest challenges in developing accurate and robust medical AI. How can synthetic data effectively address biases and insufficient labelling in your proprietary imaging RWD? Learn about our approach to generating high-quality synthetic medical images in partnership with Segmed. Join an insightful discussion between... - Geraldine McGinty MD, MBA, FACR from Weill Cornell Medicine - Martin Willemink, MD PhD FSCCT, CEO of Segmed, Inc. - Kathrin Khadra, CTO of RYVER.AI ✅ You will learn... ... how data bias affects AI performance in clinical settings ... how synthetic data can address lack of diversity and annotations ... how we approach quality assurance of synthetic images 📅 When? Tuesday, 5th of November ⏰ Time? 12:00 pm EST   I   6:00 pm CET  ✅ Sign up for free access: LINK IN THE COMMENTS #AI #HealthcareAI #GenAI #Radiology #SyntheticData #MedicalImaging #Partnership #Innovation #DiversityInData #Inclusion #RWiD #PrecisionMedicine #Segmed #RYVER.AI

Brain Tumor Segmentation with advanced Vision Transformer (ViT) technology! This project leverages state-of-the-art deep learning and transformer architectures to enhance medical imaging precision. From custom patch embedding to multi-head attention mechanisms and optimized loss functions like Dice Loss, every component is fine-tuned for exceptional performance. Achieving remarkable accuracy and Dice Coefficient metrics, this innovation represents a significant leap in healthcare AI. Explore the future of medical image analysis, powered by transformers and AI-driven segmentation. #BrainTumorSegmentation #VisionTransformers #DeepLearningInHealthcare #AIForMedicalImaging #HealthTech #AIInnovation

Exciting news! Mindpeak GmbH and Lumea announce a strategic partnership to advance AI in pathology! This partnership brings Mindpeak’s AI applications to Lumea’s BxLink platform, offering users broader access to state-of-the-art tools for improved diagnostic precision and enhanced lab efficiency. Read more about this exciting partnership: https://lnkd.in/gnWv9pyf #AI #DigitalPathology #Partnership #CancerDiagnostics #HealthcareInnovation

🌟 The Future of Pathology: AI in Digital Microscopic Imaging 🌟 Artificial Intelligence is revolutionizing numerous industries, and healthcare is no exception. One of the most promising applications is AI in digital microscopic imaging, where it is transforming how we analyze and interpret complex biological data. 🔬 Enhanced Precision: AI-driven algorithms can detect subtle patterns in microscopic images that may be difficult for the human eye to catch, leading to faster and more accurate diagnoses. ⏳ Improved Efficiency: Automated image analysis speeds up the process, allowing pathologists to focus on complex cases and provide timely results, crucial in disease management. 🌍 Scalability: With AI, the ability to analyze large volumes of images becomes feasible, helping in global research efforts, especially in resource-limited settings where specialists may not always be available. 🎯 Personalized Treatment: By integrating AI, we can dive deeper into the cellular level, identifying unique biomarkers and creating more targeted, personalized treatment plans. As the demand for precision medicine grows, the role of AI in digital microscopic imaging will continue to expand, making healthcare more accessible, efficient, and accurate. #AI #DigitalPathology #Microscopy #HealthcareInnovation #ArtificialIntelligence #PrecisionMedicine

🚀 Incredible breakthrough in AI-powered retinal imaging! 📸 Researchers at the National Institutes of Health have harnessed the power of artificial intelligence to revolutionize the way we capture high-resolution images of eye cells. With AI, imaging is now a staggering 100 times faster, while also enhancing image contrast by 3.5-fold. This remarkable advancement is set to significantly improve our ability to assess conditions like age-related macular degeneration (AMD) and other retinal diseases. According to Dr. Johnny Tam, head of the Clinical and Translational Imaging Section at NIH's National Eye Institute, "Artificial intelligence helps overcome a key limitation of imaging cells in the retina, which is time." Exciting times lie ahead as AI continues to reshape the landscape of medical imaging! 🌟 https://lnkd.in/dBgZpNSV Muhammad Irfan Xeven Solutions #guldarot

For all the digital pathology experts out there: Imagine having all your key molecular markers for breast cancer—Ki67, ER/PR, and HER2—analyzed through IHC AI and displayed together on a single screen within your viewer, streamlining tumor subtype classification and treatment decisions. #breastcancercare #breastpathology #pathology #pathologygeek Lumea #laboratorymedicine #pathologist #HER2 Mindpeak GmbH #digitalpathology

💻 How are AI and digital pathology shaping the future of diagnostics? In this insightful Q&A, Michael Schubert interviews Nathan Buchbinder and Julianna Ianni to explore the transformative impact of AI in digital pathology, from today’s breakthroughs to predictions for 2025. Learn how these advancements are enhancing diagnostic precision and efficiency. 📖 Don’t miss this expert take on the innovations redefining the lab landscape: https://bit.ly/3PCwEaa What innovation in digital pathology excites you most? Share your thoughts after reading!

Energizing second day at KLAS Research summit at Park City. Awesome keynote by Nina Kottler, MD, MS of Radiology Partners on New Technologies in Imaging. As the first radiologist to join RP, she has been instrumental in shaping the technology platform which has enabled unprecedented scale and quality. A key part of that journey has been testing and deploying AI at scale. Here are just a few of the lessons learned: * we are early in AI with different types of models on different sections of the Gartner hype cycle, but all lack needed best practices and none have come into the core of the productivity plateau. * AI and radiology is truly a Reese’s Peanut Butter Cup opportunity - better together! * AI sees things rads don’t but rads see and understand things AI doesn’t. * One key decision point for AI value is whether AI is really enhancing detection rather than confirming detection. Intelerad Medical Systems Jordan Bazinsky Monique Rasband

📢 Join us for an insightful panel session on Translating AI Research into Clinical Practice within the realm of biomedical imaging! Our panelists will share invaluable insights, experiences, and strategies. Learn more about this session here: https://hubs.la/Q02x879l0