Exciting news from one of our new projects! AI is revolutionizing #cancer research and diagnosis thanks to the new project DigiPathConnect funded with EU funding! Pathologists from different hospitals are teaming up to use scanners and AI to analyze tissue samples faster and more efficiently! Digital pathology is on the rise, allowing for high-quality care and collaboration with hospitals in #Belgium, #Germany, and the #Netherlands. An additional benefit? AI keeps an eye out for anything suspicious, making diagnoses even more accurate. Find out more at https://lnkd.in/e4K2muy6 Let's cheers to faster diagnoses, more investments, and better health outcomes for all! #EUinmyregion #EUfunding #Interreg #DigitalHealth #Innovation #CancerResearch #AIrevolution #Europaomdehoek UHasselt, Maastricht University, Université de Liège, Cytomine, Aspect Analytics, Universitätsklinikum Köln
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This is great. But we have to understand that most cancer is a pathology diagnosis based on other factors such as cytogenetics and cell morphology characteristics and rarely a radiological diagnosis. In addition to this there are different types of breast cancer such as ductal cancer, angiosarcoma, pagets etc. All these are based on histology. While AI may provide valuable insights into predictive modelling it should be founded on the basis of disease diagnostic approaches as a whole. Mammography is based on x rays passing through different tissue densities to finally display this on a film. While breast lump size increase can be observed through time, it would have to be correlated to other clinical data to truly predict if it is cancer as fibrocystic changes are more common
𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐧𝐠 𝐁𝐫𝐞𝐚𝐬𝐭 𝐂𝐚𝐧𝐜𝐞𝐫 5 𝐘𝐞𝐚𝐫𝐬 𝐁𝐞𝐟𝐨𝐫𝐞 𝐈𝐭 𝐎𝐜𝐜𝐮𝐫𝐬 𝐈𝐬 𝐍𝐨𝐰 𝐚 𝐑𝐞𝐚𝐥𝐢𝐭𝐲 📚 𝐋𝐚𝐬𝐭 𝐨𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐲 𝐭𝐨 𝐝𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐭𝐡𝐞 𝐏𝐃𝐅 𝐛𝐫𝐨𝐜𝐡𝐮𝐫𝐞:https://lnkd.in/dWQfi55n Despite remarkable progress in recent years, many #breastcancerpatients are still diagnosed at an advanced stage. This often leads to aggressive treatments and the anxiety of uncertain outcomes. Identifying patients at risk before the disease onset is crucial. In 2019, #researchersfrom Massachusetts General Hospital and CSAIL (MIT's Computer Science and Artificial Intelligence Laboratory) created a deep learning model capable of predicting, from a mammogram, whether a patient is likely to develop breast cancer in the future, specifically within 5 years. Researchers trained an #AIto recognize subtle patterns in breast tissue that are precursors to malignancy. This breakthrough can transform early detection, allowing for timely interventions and better outcomes for patients. Artificial intelligence is undeniably a powerful tool. When used well, it unlocks immense potential in the research, #detection, and treatment of diseases like cancer. #AIinHealthcare #EarlyDetection #CancerResearch #HealthTech #Innovation
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When technology meets medicine
𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐧𝐠 𝐁𝐫𝐞𝐚𝐬𝐭 𝐂𝐚𝐧𝐜𝐞𝐫 5 𝐘𝐞𝐚𝐫𝐬 𝐁𝐞𝐟𝐨𝐫𝐞 𝐈𝐭 𝐎𝐜𝐜𝐮𝐫𝐬 𝐈𝐬 𝐍𝐨𝐰 𝐚 𝐑𝐞𝐚𝐥𝐢𝐭𝐲 📚 𝐋𝐚𝐬𝐭 𝐨𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐲 𝐭𝐨 𝐝𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐭𝐡𝐞 𝐏𝐃𝐅 𝐛𝐫𝐨𝐜𝐡𝐮𝐫𝐞:https://lnkd.in/dWQfi55n Despite remarkable progress in recent years, many #breastcancerpatients are still diagnosed at an advanced stage. This often leads to aggressive treatments and the anxiety of uncertain outcomes. Identifying patients at risk before the disease onset is crucial. In 2019, #researchersfrom Massachusetts General Hospital and CSAIL (MIT's Computer Science and Artificial Intelligence Laboratory) created a deep learning model capable of predicting, from a mammogram, whether a patient is likely to develop breast cancer in the future, specifically within 5 years. Researchers trained an #AIto recognize subtle patterns in breast tissue that are precursors to malignancy. This breakthrough can transform early detection, allowing for timely interventions and better outcomes for patients. Artificial intelligence is undeniably a powerful tool. When used well, it unlocks immense potential in the research, #detection, and treatment of diseases like cancer. #AIinHealthcare #EarlyDetection #CancerResearch #HealthTech #Innovation
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𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐏𝐚𝐭𝐡𝐨𝐥𝐨𝐠𝐲 𝐢𝐧 𝐂𝐚𝐧𝐜𝐞𝐫 𝐃𝐢𝐚𝐠𝐧𝐨𝐬𝐢𝐬 🔬✨ - 🌐 Cutting-edge tech! Digital pathology is revolutionizing cancer diagnosis by converting samples into high-resolution images for easier analysis. - 🤖 AI integration: Machine learning algorithms assist pathologists in identifying patterns, increasing diagnostic precision, and reducing human error. - 📈 Streamlined workflows: Digitization facilitates remote consultations, faster data sharing, and more efficient archiving, boosting collaboration worldwide. - 🔍 From pixels to insights: Digital advancements enhance the accuracy of complex analyses like tumor grading and biomarker assessment. For in-depth reviews of biomedical advances, check out sciqst.com – your go-to for comprehensive literature reviews! #DigitalPathology #CancerDiagnosis #AIinHealthcare #MedTechRevolution #Bioinformatics
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Artificial intelligence is advancing swiftly, particularly in the realm of cancer-fighting software. This technology can potentially enhance diagnosis, treatment planning, and patient outcomes significantly. By analyzing large volumes of medical data, AI algorithms can uncover patterns and trends that may elude human experts, potentially leading to earlier cancer detection, more accurate diagnoses, and personalized treatment strategies. However, it is essential to recognize that AI remains an evolving field, necessitating continuous research and refinement to ensure its effectiveness and safety in clinical practice. Read more 👉https://lnkd.in/gDYFHDF6 #AI #Technology #AIInnovation #CancerCare #Oncology #FutureTech #HealthcareInnovation #AIinMedicine #DataAnalysis #GenerativeAI #TechNews #Security #Australia #Innovation with SHAVIK Visit www.SHAVIK.ai
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What’s the blueprint for success for #AI in #drugdiscovery? Leading executives, biomedical professors, and other experts detailed how the #tech is well positioned to deliver on personalized medicine at #SAIPH2024, stressing the need for well-curated data, cross-disciplinary collaboration, and a "learning agility" among scientists, researchers, and stakeholders. Watch below to hear about the potential for AI in drug discovery, with insights from Melissa Landon, CircNova, Inc’s Crystal Brown, ENDPOINT HEALTH’s Jason Springs and The Jackson Laboratory/The Maine Cancer Genomics Initiative (MCGI)’s Jens Rueter. Read more about use cases and impacts on patients and data here: https://bit.ly/3O5zEv4 #artificialintelligence #AIevents #AIresearch #health #lifesciences #healthcare #medicine #research #data
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Global Strategy & Business Development | Research & Development | Business Solution Lead
What’s the blueprint for success for #AI in #drugdiscovery? Leading executives, biomedical professors, and other experts detailed how the #tech is well positioned to deliver on personalized medicine at #SAIPH2024, stressing the need for well-curated data, cross-disciplinary collaboration, and a "learning agility" among scientists, researchers, and stakeholders. Watch below to hear about the potential for AI in drug discovery, with insights from Melissa Landon, CircNova, Inc’s Crystal Brown, ENDPOINT HEALTH’s Jason Springs and The Jackson Laboratory/The Maine Cancer Genomics Initiative (MCGI)’s Jens Rueter. Read more about use cases and impacts on patients and data here: https://bit.ly/3O5zEv4 #artificialintelligence #AIevents #AIresearch #health #lifesciences #healthcare #medicine #research #data
What’s the blueprint for success for #AI in #drugdiscovery? Leading executives, biomedical professors, and other experts detailed how the #tech is well positioned to deliver on personalized medicine at #SAIPH2024, stressing the need for well-curated data, cross-disciplinary collaboration, and a "learning agility" among scientists, researchers, and stakeholders. Watch below to hear about the potential for AI in drug discovery, with insights from Melissa Landon, CircNova, Inc’s Crystal Brown, ENDPOINT HEALTH’s Jason Springs and The Jackson Laboratory/The Maine Cancer Genomics Initiative (MCGI)’s Jens Rueter. Read more about use cases and impacts on patients and data here: https://bit.ly/3O5zEv4 #artificialintelligence #AIevents #AIresearch #health #lifesciences #healthcare #medicine #research #data
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Artificial intelligence is advancing swiftly, particularly in the realm of cancer-fighting software. This technology can potentially enhance diagnosis, treatment planning, and patient outcomes significantly. By analyzing large volumes of medical data, AI algorithms can uncover patterns and trends that may elude human experts, potentially leading to earlier cancer detection, more accurate diagnoses, and personalized treatment strategies. However, it is essential to recognize that AI remains an evolving field, necessitating continuous research and refinement to ensure its effectiveness and safety in clinical practice. Read more 👉https://lnkd.in/e8qCtAT4 #AI #Technology #AIInnovation #CancerCare #Oncology #FutureTech #HealthcareInnovation #AIinMedicine #DataAnalysis #GenerativeAI #TechNews #Security #Australia #Innovation with SHAVIK Visit www.SHAVIK.ai
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𝐌𝐞𝐥𝐛𝐨𝐮𝐫𝐧𝐞, 𝐀𝐮𝐬𝐭𝐫𝐚𝐥𝐢𝐚 𝐢𝐬 𝐚𝐭 𝐭𝐡𝐞 𝐟𝐨𝐫𝐞𝐟𝐫𝐨𝐧𝐭 𝐨𝐟 𝐚 𝐦𝐞𝐝𝐢𝐜𝐚𝐥 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐫𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧. The recent establishment of the Australian Centre for Artificial Intelligence in Medical Innovation (ACAMI) at La Trobe University marks a groundbreaking achievement, positioning the state as a global pioneer in AI-driven healthcare. The first of its kind in the world, 𝐀𝐂𝐀𝐌𝐈 𝐢𝐬 𝐩𝐨𝐢𝐬𝐞𝐝 𝐭𝐨 𝐫𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐢𝐬𝐞 𝐝𝐢𝐬𝐞𝐚𝐬𝐞 𝐝𝐢𝐚𝐠𝐧𝐨𝐬𝐢𝐬, 𝐭𝐫𝐞𝐚𝐭𝐦𝐞𝐧𝐭, 𝐚𝐧𝐝 𝐩𝐫𝐞𝐯𝐞𝐧𝐭𝐢𝐨𝐧. Backed by substantial government investment and world-class research institutions, the centre is leveraging cutting-edge AI technology where researchers will explore applications such as developing biosensors for early cancer detection and AI-powered tools to track the progression of breast cancer. Seeking to drive advancements in healthcare and harness the transformative power of AI? 𝐑𝐞𝐚𝐝 𝐨𝐧 𝐭𝐨 𝐝𝐢𝐬𝐜𝐨𝐯𝐞𝐫 𝐰𝐡𝐲 𝐌𝐞𝐥𝐛𝐨𝐮𝐫𝐧𝐞, 𝐕𝐢𝐜𝐭𝐨𝐫𝐢𝐚 𝐨𝐟𝐟𝐞𝐫𝐬 𝐚𝐧 𝐨𝐩𝐭𝐢𝐦𝐚𝐥 𝐞𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭 𝐟𝐨𝐫 𝐠𝐫𝐨𝐰𝐭𝐡 𝐚𝐧𝐝 𝐬𝐮𝐜𝐜𝐞𝐬𝐬: https://lnkd.in/gw3DHmkV #AI #MedicalInnovation #ThinkMelbourne
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Promising progress in pancreatic cancer research! Our recent paper with iHelp_Project unveils an innovative approach for personalized healthcare that makes use of data science, ML, and Semantic Web. #Healthentia SaMD and wearables are essential part of this, aiming to facilitate decisions-making. Explore in-depth insights within our linked #publication 🔗 https://bit.ly/4abmTbf #HealthTech #AIinHealthcare #PancreaticCancer
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