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Résultats de la recherche - 56 results
Advancing automated identification of airborne fungal spores: guidelines for cultivation and reference dataset creationAbstract
volumetric monitoring, there’s a growing interest in automated real-time methods. However, these methods rely heavily on machine learning, facing challenges due to diverse particle characteristics and limited ...
Advancing automated identification of airborne fungal spores: Guidelines for cultivation and reference dataset creation
automated real-time methods. However, these methods rely heavily on machine learning, facing challenges due to diverse particle characteristics and limited training data availability, especially for fungal ...
be.Prepared: Setting up a cloud-based bioinformatics platform and coupled NRC usability platform for integrated genomic-epidemiological analysis at a national level
collecting clinical/epidemiological data. Key characteristics of the infrastructure include automated data flows, near real-time data processing to enable integrated genomic-epidemiological analysis and ...
Advancing automated identification of airborne fungal spores: Guidelines for cultivation and reference dataset creation
monitoring. While manual methods exist, interest is shifting towards automated systems employing machine learning. However, challenges persist due to diverse particle properties and limited training data. This ...
Advancing automated identification of airborne fungal spores: Guidelines for cultivation and reference dataset creation
allowing automated real-time monitoring. Most of them rely on machine learning for the identification of bioaerosols. However, the diverse nature of airborne particles in terms of size, properties and ...
Guideline VBRN: Best Practice Guide for Electronic Platforms
to automate the submission and certification processes (OBPR / OCABR) for veterinary vaccine lots. This “Best Practice Guide for Electronic Platforms” is designed to share insights and recommendations ...
Bridging the Gap between Field Experiments and Machine Learning: The EC H2020 B-GOOD Project as a Case Study towards Automated Predictive Health Monitoring of Honey Bee Colonies.
Elżbieta Ziółkowska; Michał Filipiak; Mikołajczyk, Łukasz; Kirsten Leufgen; Lina De Smet; De Graaf, Dirk C Source: Insects, Volume 15, Issue 1 (2024) Keywords: honey bee automated health monitoring; data ...
Surveillance of Bloodstream Infections in Belgian Hospitals- Annual report 2023, Data up to and including 2022
and of ICU-acquired infections, and also need to be adapted towards automated collection of hospital data where possible. Healthdata tools for centralized data processing and reporting of national NSIH- ...
Multicenter interlaboratory study of routine systems for the susceptibility testing of temocillin using a challenge panel of multidrug-resistant strains.
strains. Forty-seven selected clinical isolates were blindly analyzed by 12 Belgian laboratories using VITEK ® 2 (n = 5) and BD Phoenix™ (n = 3) automated systems, ETEST ® gradient strip (n = 3), and disk (3 brands) ...
Developing a semi-automatic COVID-19 syndromic surveillance tool into a fully automated tool for respiratory infectious diseases in Belgian General Practices
Publication Type: Scientific poster, presentation or proceeding Authors: Laura Debouverie; Mélanie Nahimana; Floriane Rouvez; Robrecht De Schreye Source: 97th EGPRN Meeting, European General Practice Research Network, Issue European General Practice Resea ...