Pathology News’ Post

Super quick and accurate Cell Nuclei Segmentation - You can learn how to code this in our upcoming AI in Medical & Healthcare Course. Comment "AI-MED" down below to learn how you can get the nano course for FREE! 👇🏼

AI is revolutionizing laboratory workflows, turning once time-consuming tasks into seamless processes. With the right tools, we can deliver results to providers and patients faster and more effectively, improving care and outcomes. The time saved empowers scientists to focus on driving innovation and advancing workflows even further. The future of diagnostics is here—more efficient, more impactful, and powered by AI.

🔍 Find It Fast with Ryght Process, summarize, and translate biomedical texts effortlessly with Ryght's powerful capabilities. Gain evidence-based insights that are relevant and precise. Navigate the complexities of biomedical information with ease and accuracy. Equip yourself with Ryght today: https://hubs.li/Q02Lcj150 #Ryght #GenAi #LifeScienceProfessionals #MedicalInsights

😮 Did you know that medical error is the 3rd leading cause of death in the USA and drug adverse effects are the 4th? In this #NODES2023 session, Roland Haas presents the Physicians’ Brain digital twin, a holistic biomedical #KnowledgeGraph in a Neo4j Database that integrates 9 biomedical knowledge graphs. Find out how this Knowledge Graph works to achieve: 0️⃣zero medical errors 0️⃣zero patient harms 0️⃣zero medical wastes 0️⃣zero medical abuses 0️⃣zero medical frauds. #TBT to an awesome presentation: https://bit.ly/3xK5pVP Psst: You can Save the date for #NODES2024 and watch mindblowing presentations like this one here: https://bit.ly/3xVlyYj

🚀 Paper Review: MedKlip - Enhancing X-ray Diagnosis with AI 🚀 I recently reviewed an exciting paper presented at ICCV 2023: MedKlip. This innovative work leverages AI to simplify medical report analysis and improve X-ray diagnosis. 🌟 🔍 Key Insights: Challenge: Understanding complex medical jargon and aligning it with X-ray images. Solution: Combining ResNet-50 for visual encoding, ClinicalBERT for text encoding, and a transformer-based fusion module. Impact: Achieves superior performance in identifying and localizing diseases compared to state-of-the-art models. 📊 Results: MedKlip significantly improves diagnostic accuracy on datasets like RSNA Pneumonia and ChestX-ray14, setting a new benchmark in medical imaging. For a detailed read, check out the paper review below. #AI #MachineLearning #MedicalImaging #HealthcareInnovation #ICCV2023

With AI-powered tools, analyzing RBC morphology could soon become faster and more efficient—just in time to help during critical lab staffing shortages. Dr. Ahmed Elnady Elsafty led a groundbreaking study published in Nature discussing the dataset he and his team created of one million segmented RBCs to train AI to mimic expert observations of blood smears. Read more in Critical Values! https://bit.ly/4iz31nl

Did you know our ObjectiveScreen technology ranks patients in real-time by risk score? We use AI technology to sort higher-risk patients for screening before those who are lower-risk, prioritizing those most likely to qualify for a study. By optimizing candidate selection and trial timelines, ObjectiveScreen accelerates the discovery of effective treatments. Learn more about our tech here: https://lnkd.in/eTUyibq2

Harnessing Genomics and ML for a Healthier Future 🌟🧬🤖 In the rapidly evolving field of healthcare, precision medicine is revolutionizing how we understand, diagnose, and treat diseases by tailoring medical treatments to individual patient characteristics. By combining the power of genomics and machine learning (ML), precision medicine promises highly personalized and effective treatment plans, moving away from traditional one-size-fits-all approaches. Curious about the impact of genomics research? Explore this detailed interactive chart illustrating how Genomics and ML can lead to a healthier future. This visualization showcases the intricate relationship between these technologies and their potential to transform healthcare, providing insights into more accurate diagnoses, personalized treatments, and improved health outcomes for all. Link to the interactive chart 📊🔬 - https://lnkd.in/eQMFbP3k Adapted from a notebook by Mike Bostock. #Genomics #MachineLearning #PrecisionMedicine #Healthcare #PersonalizedMedicine #FutureofHealthcare #Analytics #InteractiveCharts

“How can I get people up to speed with pathology? I get them to do a lab tour… It’s very valuable to machine learning engineers to go in and have a look at how the data is actually generated.” In this episode, I talk with Matt Alderdice, Head of Data Science at Sonrai Analytics, about precision medicine. Sonrai Analytics automates laborious data processes and speeds up new drug and healthcare developments. https://lnkd.in/gb-Y3c9F #Pathology #CancerResearch #PrecisionMedicine #MedicalImaging #MachineLearning #DeepLearning #ComputerVision

#Pathology is evolving with the adoption of Whole Slide Imaging (#WSI). This digital transformation promises enhanced diagnostic accuracy and operational efficiency, setting a new standard for personalized patient care. 📌 The College of American Pathologists (CAP) provides practical tips on slide preparation, quality control, and standardized processes across laboratories, including scanning. 📌 Additional practical tips are needed for the next steps in the data lifecycle management of WSIs, addressing challenges such as storage, multisite synchronization, and AI applications. ✒️ Michael LaFriniere, Humberto Trejo Bittar, Marilyn Bui, Andrew Evans, Anil Parwani, Mansoor Nasim MD PhD, Robert Lott, HTL(ASCP), Liron Pantanowitz, Caitlin Routhier, Jamie Pert, Antonia Miller, BS, HTL