Application period extended to June 3! The NIH National Library of Medicine’s Lister Hill National Center for Biomedical Communications is looking for a Fast Healthcare Interoperability Resources (FHIR) Team Lead to play a key technical leadership role in developing advanced computational tools and resources to support NIH-wide ambitions to facilitate, promote the use of and help develop the FHIR specification and its supporting coding systems in the United States Core Data for Interoperability standard for biomedical research purposes. For more information, please visit: https://lnkd.in/ek4ggABq #nih #nihforjobs #nlm #TeamLead
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The ArXiv API, a critical tool in scientific literature retrieval, is consistently delivering only 10 results despite users setting the max_results parameter to a higher number, consequently impacting the accuracy of medical research. This issue has the potential to slow life-altering medical breakthroughs and skew critical analyses due to incomplete data retrieval. It's crucial for developers to address this and ensure that the ArXiv API adheres to user specifications, as the integrity of medical research could be at stake.
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Managing Partner | General Counsel | Author, Speaker, Entrepreneur & Podcast Host | linktr.ee/camerontousi
The ArXiv API, a critical tool in scientific literature retrieval, is consistently delivering only 10 results despite users setting the max_results parameter to a higher number, consequently impacting the accuracy of medical research. This issue has the potential to slow life-altering medical breakthroughs and skew critical analyses due to incomplete data retrieval. It's crucial for developers to address this and ensure that the ArXiv API adheres to user specifications, as the integrity of medical research could be at stake.
Decoding the ArXiv API Paradox: A Critical Challenge in Medical Research Data Retrieval
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The ArXiv API, a critical tool in scientific literature retrieval, is consistently delivering only 10 results despite users setting the max_results parameter to a higher number, consequently impacting the accuracy of medical research. This issue has the potential to slow life-altering medical breakthroughs and skew critical analyses due to incomplete data retrieval. It's crucial for API developers to address this and ensure that the ArXiv API adheres to user specifications, as the integrity of medical research could be at stake.
Decoding the ArXiv API Paradox: A Critical Challenge in Medical Research Data Retrieval
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VPHi is collecting the perspectives of clinicians’, on the uptake of Computer Modelling & Simulations!
As the #insilicomedicine community continues to grow, there is the opportunity to follow up on the clinical applications of Computer Modelling and Simulation (CM&S). In 2021, the VPH Institute conducted a clinical #survey to collect feedback from #clinicians regarding their knowledge, experience, and opinions on the application of Computer Modelling and Simulation (CM&S) in clinical practice. Now, the #VPH Institute wants to expand the survey globally, aiming to involve more #MedicalDoctors working in different areas worldwide. 📢 Spread the word: we encourage you to share this link with your contacts! https://lnkd.in/dbWqSXs7
Survey:Computer modelling & simulations in clinical practice
surveymonkey.com
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The National Library of Medicine (NLM) has launched the beta version of their new online tool, the Dataset Catalog. This tool aims to streamline the search and discovery of biomedical research data, making it easier for users to find and connect datasets. During the beta phase, users are encouraged to explore the tool and provide feedback, shaping its future development. Watch the recorded webinar to learn more about this innovative resource! https://hubs.ly/Q02tlq5G0 #BiomedicalData #DatasetCatalog
Enabling Discovery of Biomedical Research Data: Introducing the Dataset Catalog
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The latest blog titled Breaking Through the Data Barrier: Navigating the Max_results Conundrum in the arXiv API for Efficient Medical Research addresses the challenges faced by researchers in accessing scientific literature due to the 'max_results' parameter issue in the arXiv API. The blog delves into the intricate parameters of the API and discusses potential solutions involving a collaborative approach between API developers and users. Emphasizing the importance of fixing this issue for the advancement of medical research, the blog invites readers to join the conversation towards resolving the 'max_results' conundrum.
Breaking Through the Data Barrier: Navigating the Max_results Conundrum in the arXiv API for Efficient Medical Research
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In the vast realm of #MedicalResearch, we continually strive to harness the power of cutting-edge tools to decode complex data. The #arXivAPI, a rich reservoir of scientific literature, has emerged as a game-changer. But like any tool, it has its quirks. Are you baffled by the #MaxResultsMystery? You're not alone. One researcher was perplexed when the 'max_results' parameter, set to 100, seemed to override to 10. A syntax error or a deeper issue with the API query? The conundrum remains. We must unravel this mystery to unlock the arXiv API's full potential, enabling us to leap forward in our quest for #MedicalBreakthroughs. The arXiv API is not merely a library of academic literature; it is a conduit to a wealth of scientific knowledge. Its power can fuel the engines of innovation, driving us towards pioneering advancements in healthcare. But first, we must overcome the challenges it presents. The #MaxResultsChallenge underscores the importance of meticulous attention to detail when working with APIs, and the significance of understanding their nuances. It may well be a syntax error causing the discrepancy, highlighting the need for careful validation and systematic troubleshooting. Victory over this challenge isn't just a win for one researcher; it's a triumph for the entire field of medical research. Overcoming these hurdles paves the way for advanced medical discoveries, propelling us into an exciting new era of #ScientificDiscovery. By sharing knowledge and turning challenges into opportunities for learning, we can collaboratively unlock the power of arXiv API. The key to revolutionizing medical research is in our hands. #MedicalInnovation #APIsInResearch #HealthcareTechnology #ScienceAndTechnology #BigData Note: Read more about the power of arXiv API in the latest blog. Hyperlink to blog Read more on our blog: https://lnkd.in/eRH7nPCw
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Scientist | PhD Scholar | Data Science| Antimicrobial Resistance | Infectious Disease Modelling | AI/ML in Healthcare | Pandemic Preparedness | Health informatics | Data Management
Delighted to share that our chapter "Omics and Clinical Data Integration and Data Warehousing" has been published in Integrative Omics: Concept, Methodology, and Application. Our chapter addresses key issues like data security, privacy, and integrating biological and clinical data into a single database. This work, in collaboration with my colleagues at the Division of Biomedical Informatics, Indian Council of Medical Research, paves the way for advancements in medical and translational research through enhanced patient data management systems. 📚 For those interested, the book is published by Academic Press and is available at https://lnkd.in/gysj9vcN I am eager to see the new insights and advancements that will emerge from this work! #DataIntegration #DataSecurity #ClinicalDataManagement
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