#ITACAScience 🔵 Today we share an article📝 with the participation of 👨🔬 Pablo Ferri, Carlos Sáez and Juan Miguel García, researchers from BDSLab - Biomedical Data Science Lab - ITACA (UPV). ✏️This study developes and evaluates a deep classifier that can effectively prioritize Emergency Medical Call Incidents (#EMCI) according to their life-threatening level under the presence of dataset shifts. 👨🏫"Considering the advanced capabilities of deep continual text models in assessing the life-threatening level of the most severe incidents, the implementation of the CL routines developed in this study for EMCI triage will have a significant and positive direct impact on patient well-being and the sustainability of health services", say the ITACA researchers. 👉Full article here🔗: https://lnkd.in/d6aEjQs7 #ITACAScience #DeepLearning #EmergencyCare #MedicalInnovation
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Part 1 of this webinar was fantastic. There's still time to sign up for Part 2! Quality Defects and Methods of Reproducibility in Biomedical Research 🗓️ Tuesday 21 May 2024 🕛 12:00–13:00 EST Biomedical research carries concerns about being non-reproducible, uninformative and prone to serious quality defects. Register for Part 2 of this Friends of the National Library of Medicine webinar for presentations and discussion from expert speakers. They'll discuss: 👉 making preclinical and clinical research more trustworthy 👉 prevention of frequent defects in clinical trials 👉 sources of errors in preclinical laboratory studies 👉 imported errors of research 👉 quality control at the publication phase and more! The webinar is of particular interest to biomedical research laboratories, research universities and institutions, industry supported researchers and funders of research projects in life sciences. Speakers: Sarah Jenkins Michael Lauer Ivan Oransky Nathalie Percie du Sert Chris Winchester Learn more here. https://lnkd.in/euiQSPjF #BiomedicalResearch #Reproducibility #LifeSciences #FNLM #OxfordPharmaGenesis
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📢 New Webinar Series on Data Sharing! 📢 The National Library of Medicine (NLM) National Center for Data Services is launching “Topics in Data Sharing,” a new series focusing on the latest trends on data sharing and best practices in biomedical research. Topics Include: 🔹Uncovering the Costs of Academic Data Sharing: From Real Data to Tips for Future Planning with ARL and DCN 🔹Understanding Data Discovery and Sharing Infrastructure: Leveraging It for Your Benefit 🔹The NIH Generalist Repository Ecosystem Initiative (GREI): Supporting data sharing in Generalist Repositories Learn about current practices and challenges in data sharing from leading experts. Register now and be part of the conversation! https://hubs.ly/Q02J5Pc50 #ResearchData #NIHdata #OpenData #OpenSci #Webinars #DataSharing
New NNLM Webinar Series Explores Latest Trends in Data Sharing
dataworks.faseb.org
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📣 Discover EJN, the official journal of FENS! 🌍 Read the fascinating story behind #BioRTC, a state-of-the-art biomedical hub in Northeast #Nigeria. Discover the challenges of establishing a #research centre in a resource-limited setting, and the successful model based on open access and inclusivity that made it possible. 🌟 Read the full open access editorial at: https://loom.ly/XWCaRT4 #EJN: Your Journal, Your Community!
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📢 New Study Protocol: Uncovering the Role of Preprints in TCIM Research 🌍 Our latest study will explore the impact and characteristics of preprints in traditional, complementary, and integrative Medicine (TCIM). As TCIM research faces challenges like funding limitations and methodological complexities, preprints may offer a path forward by enhancing accessibility and transparency. 🔍 What We’re Analyzing: - TCIM-related preprints across platforms, tracking factors like publication frequency, views, downloads, and citations. - Data such as preprint server type, publication status, author affiliations, and funding sources. - Trends in TCIM research dissemination to better understand how preprints contribute to the field. This analysis will offer insights into the evolving landscape of TCIM research and the potential of preprints to accelerate knowledge sharing. Stay tuned for updates! https://lnkd.in/gY-FJMJa #TCIM #Preprints #OpenScience #ComplementaryMedicine #IntegrativeHealth #Research
Page Path HOME > Perspect Integr Med > Volume 3(3); 2024 > Article
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Are you interested in improving your team’s processes to make collaborative science more effective and efficient? MICHR (Michigan Institute for Clinical & Health Research) is actively recruiting for a #NIH funded study: Information Management Prototype for Clinical and Translational Research (IMPACT-CTR). This study will evaluate tools and strategies teams use to conduct collaborative translational research. Findings will be used to develop a learning module to help teams improve their approach to information management. Learn more about participating in this study here: https://ow.ly/u0tq50UcHkC #TranslationalScience #InformationManagement #CollaborativeScience #CTSAProgram
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Cover article +1! Excited to announce that our research on wrist-worn IMU-based eating speed measurement has been featured as the cover article in the latest issue of the IEEE Journal of Biomedical and Health Informatics!
🎉 Cover article +1! Excited to announce that our research on wrist-worn IMU-based eating speed measurement has been featured as the cover article in the latest issue of the IEEE Journal of Biomedical and Health Informatics! Thanks to my supervisors and co-authors Bart Vanrumste Hans Hallez Guido Camps Sunil kumar Telagamsetti Walter De Raedt for their support. Many thanks as well to the journal reviewers and editorial board for their recognition of this research.
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#EuroEcho2024 (11.12. - 13.12.2024 in Berlin) is so near that we need to know the incoming deadlines to mark in calendar to not miss and get prepared to share your science and help to enhance overall knowledge in #echocardiography 👉 27 Jun 2024 Abstract & Clinical Case Submission 👉 30 Sep 2024 Early Registration Savings 👉 09 Oct 2024 Late-Breaking Science Submission 👉 31 Oct 2024 Late Registration Savings
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Thrilled to be part of this significant international project, collaborating with outstanding partners to explore the REAL potential of synthetic data in healthcare. This includes privacy-preserving data sharing, bias mitigation, data augmentation, digital twins, and more. At the Biomedical Data Science Center of CHUV | Lausanne university hospital and University of Lausanne - UNIL, our team will focus on developing cutting-edge algorithms to rigorously assess the privacy and utility of synthetic data, key elements in building TRUST in this powerful emerging technology. Stay tuned for updates and follow IHI-SYNTHIA for more exciting news! #ai4healthcare #syntheticdata #privacy #precisionmedicine
💻⚕️ 𝗟𝗲𝘃𝗲𝗿𝗮𝗴𝗲 𝘀𝘆𝗻𝘁𝗵𝗲𝘁𝗶𝗰 𝗱𝗮𝘁𝗮 𝘁𝗼 𝗽𝗿𝗼𝗽𝗲𝗹 𝗽𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗲𝗱 𝗺𝗲𝗱𝗶𝗰𝗶𝗻𝗲 𝘁𝗼 𝗻𝗲𝘄 𝗵𝗲𝗶𝗴𝗵𝘁𝘀 SYNTHIA, a pioneering public-private partnership funded by the Innovative Health Initiative (IHI), has been launched recently at Valencia, in Spain Read the press release ➡ https://lnkd.in/d4uH5Pfp IHI-SYNTHIA 🤝 Jean Louis Raisaro, assistant professor at the Biomedical Data Science Center (BDSC) of the FBM UNIL - Faculté de biologie et de médecine de l'Université de Lausanne (University of Lausanne) and the CHUV / Centre hospitalier universitaire vaudois, is part of the project. Lire l'article en français 👉 https://lnkd.in/d7iF2nwg Université de Lausanne #syntheticdata #personalizedmedicine #clinical #datascience #europeanunion #research #innovation #health
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🎉 I am thrilled to announce that our article has been accepted for publication in the IEEE Journal of Biomedical and Health Informatics! 📚 The paper explores the potential of Electronic Health Records (EHRs) and the challenges in leveraging the vast amount of information they contain. Our proposed solution, MedTKG, is a Temporal Knowledge Graph (TKG) framework that incorporates both the dynamic information of patient clinical histories and the static information of medical ontologies. This approach allows us to model a patient's medical history as a series of snapshots at different points in time, effectively capturing the dynamic nature of the patient's health status, and to integrate static information from medical ontologies. 🔎 Read more here: https://lnkd.in/dZ4yHGMV ❤️ Thanks Dan Bean, Zeljko K., Richard Dobson, Vincenzo Moscato #IEEE #BiomedicalInformatics #HealthInformatics #EHR
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ORAU is proud to announce the recent award from the National Institutes of Health (NIH) to establish a state-of-the-art training center as one of five major centers for the Common Fund Data Ecosystem (CFDE). NIH Common Fund programs generate a wide range of diverse and valuable data sets and knowledge designed to be used by the research community. The CFDE aims to facilitate improved discovery, reuse, integration, and analyses of these datasets to form novel hypothesis for accelerating discoveries in biomedical research. Click the link to learn more 🔽 🔽 🔽 https://bit.ly/4gj771t #FurtherTogether
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