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Feb 3
Replying to @emmasofiastahl
NÄ, det är lungnet före stormen!
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Nu har vi varit i Stockholm i ett par dagar, massa folk, bilar känns så stressigt, fattar inte att ni orkar! Nu är man tillbaks i lungnet i sköna Värmland😍
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#LungNET is among the most common NETs. #Pulmonologists need to be aware of NETs to help early lung NET diagnosis. 📌Learn about NETs at a glance in 11 languages: incalliance.org/net-info-pac… #LetsTalkAboutNETs #LungTwitter #PulmoTwitter #MedTwitter #MedEd #LungCancer
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@CureNETs is excited to share new NETRF Grant Recipient ChristinKuo @StanfordCEPB🔬Dr. Kuo’s team will compare normal lung neuroendocrine cells with lungNET cells.This research could improve diagnosis and treatment of #lungNETs. #neuroendocrinecancer #https://tinyurl.com/f55ef88v
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Charles Darwin Üniversitesi ve işbirlikçileri, CNN ve LSTM modellerini birleştirerek TD-CNNLSTM-LungNet adını verdikleri bu sistemi tasarladı. İnsan gözünün kaçırdığı detayları yakalayan model, teşhis sürecini şeffaf hale getiren ısı haritaları sunuyor..
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LungNet can reportedly tell the difference between pneumonia, COVID-19, and the flu. extremetech.com/science/diag…

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25 Jan 2025
AI detects lung diseases with 96.57% accuracy from ultrasounds. The AI model developed by Charles Darwin University and partners can accurately diagnose lung diseases from ultrasound videos. It identifies pneumonia, COVID-19, and other conditions while explaining its decisions to radiologists. Combining two AI models—CNN for detecting pixel-level patterns and LSTM for analyzing trends—the hybrid TD-CNNLSTM-LungNet surpasses previous tools, reducing false negatives and achieving 96.51% recall. This innovation saves time, supports doctors, and serves as a powerful training tool. A glimpse into the future of healthcare! #AI #Healthcare #LungDisease #Medical #Science #Medicine
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AI detects lung diseases with 96.57% accuracy from ultrasounds. The AI model developed by Charles Darwin University and partners can accurately diagnose lung diseases from ultrasound videos. It identifies pneumonia, COVID-19, and other conditions while explaining its decisions to radiologists. Combining two AI models—CNN for detecting pixel-level patterns and LSTM for analyzing trends—the hybrid TD-CNNLSTM-LungNet surpasses previous tools, reducing false negatives and achieving 96.51% recall. This innovation saves time, supports doctors, and serves as a powerful training tool. A glimpse into the future of healthcare! #AI #Healthcare #LungDisease #Medical #Science #Medicine #COVID19 #Pneumonia #Radiology #AIResearch #CharlesDarwinUniversity #MedicalAI
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♨️💯👉 𝗡𝗘𝗪 𝗔𝗜 𝗥𝗘𝗩𝗢𝗟𝗨𝗧𝗜𝗢𝗡𝗜𝗭𝗘𝗦 𝗟𝗨𝗡𝗚 𝗗𝗜𝗦𝗘𝗔𝗦𝗘 𝗗𝗜𝗔𝗚𝗡𝗢𝗦𝗜𝗦 𝗪𝗜𝗧𝗛 𝗘𝗫𝗖𝗘𝗣𝗧𝗜𝗢𝗡𝗔𝗟 𝗔𝗖𝗖𝗨𝗥𝗔𝗖𝗬 𝗔𝗡𝗗 𝗘𝗫𝗣𝗟𝗔𝗜𝗡𝗔𝗕𝗜𝗟𝗜𝗧𝗬 A groundbreaking AI model developed by Charles Darwin University, United International University, and the Australian Catholic University, named TD-CNNLSTM-LungNet, showcases superior diagnostic capabilities in identifying lung diseases through ultrasound videos. This AI model achieves a remarkable accuracy of 96 57% and is adept at discerning between conditions such as pneumonia, COVID-19, and other lung diseases. It combines two neural network technologies, CNN and LSTM, to analyze pixel-based changes over time, allowing for robust detection of abnormalities. Furthermore, it provides visual feedback such as heat maps to aid radiologists in understanding its diagnostic decisions, thus enhancing the reliability and transparency of medical imaging. Source: Charles Darwin University -- https ://www cdu edu au news researchers-train-ai-diagnose-lung-diseases
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@MatthewEvison1 organised a thought provoking and highly informative meeting on #lungnet with a packed room of GM MDT members. @BanuSathyamur14 @hsbalata Was Mansoor, Karen Peplow, Christina Nuttall, Anshuman Chaturvedi & James Barr
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Efter morgonens hulabandula så har lungnet lagt sig😀🤣
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Måste bara visa. Jag har de sista 10 åren levt med så mycket död från dem jag älskat..har själv varit dödshotad i 7 år..när jag väl börjar hitta "lungnet på en sida av världen..då rasar mitt träd efter 10 år.. Ska det aldrig bli lungt? Känns lite påhoppade problem..
Mitt livsträd!💖
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Replying to @Ja_Capdevila
BAM⚽️⚽️⚽️…next steps on the road: more solid PRRT data for lungNET and alpha-PRRT🏓🏓🏓
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This paper proposes a multi-task ensemble of 3D DNN model, including LungNet, to accurately classify the benign and malignant pulmonary nodules, and also explores the attribute importance and proposes a domain knowledge-based regularization technique. doi.org/10.1177/095441192311…
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⚡Phase II #CABATEN/GETNE-T1914 clinical trial update at #ESMO23 by @Ja_Capdevila! 💭Cabo atezo have limited activity in progressive/refractory malignancies, including #LungNET & #GEPNET. 👉🏼Check out details in Pres No. 723O

Studies exploring #Cabozantinib in #NET 1/2 — CABATEN (cabozantinib atezolizumab) by @GrupoGetne @Ja_Capdevila Phase II, multiple cohort ATC and ACC promising GEP-NET may not require the atezolizumab 🤔 (CABINET trial) No responses in Lung/G3-NEC @myESMO
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A non-GEPNET talk. 🤗 Dr So Yeon Kim from @YaleMed discussed the history and state of the field of lung #NETs. Such limited data on treatment for metastatic disease. But some more studies coming out. #lungNET @NANETS1
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26 May 2023
Märks att det är vår, moppebilar/a-traktorer, finniga tonårskillar och fnissiga flickor i drev förbi här i lungnet. Spelade de inte bara så förbannat högt bara 😀 De är så söta, så
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Good morning ..looking forward to a morning tea visit from an old LungNet member from Goulburn.Have a lovely day..it’s sunny here and 19.
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Non smoker with a solitary pulmonary nodule: CARCINOID tumor. I don't understand how pulmpaths have been able to maintain this old and lovely terminology. Sooner or later they will sucumb to LungNET and different grades. No necrosis nor mitoses. Chromogranin and INSM1 shown.
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