Automated identification of asthma patients within an electronical medical record database using machine learning Source: Annual Congress 2012 - Paediatric respiratory epidemiology. Wheeze: where, how and why? Year: 2012
The systems medicine toolbox Source: International Congress 2017 – Towards personalised medicine for airways diseases: Deep phenotyping using omics approaches will revolutionise future treatment strategies Year: 2017
Predicting childhood allergy using machine learning methods on multi-omics data Source: Virtual Congress 2021 – Biomarkers and risk factors in childhood asthma Year: 2021
Robust automatic segmentation of airway using multi-resolution deep learning Source: Virtual Congress 2020 – Quantitative imaging in diffuse lung disease Year: 2020
Workstation 3 – Calibration and quality control: see and handle a variety of different spirometers from hand-held to desktop devices, calibrate them and perform biological control procedures Source: International Congress 2014 – EW7 Spirometry knowledge and basic skills (European spirometry training programme) Year: 2014
Workstation 3 – Calibration and quality control: see and handle a variety of different spirometers from hand-held to desktop devices, calibrate them and perform biological control procedures Source: International Congress 2014 – EW9 Spirometry knowledge and basic skills (European spirometry training programme) Year: 2014
Workstation 3 – Calibration and quality control: see and handle a variety of different spirometers from hand-held to desktop devices, calibrate them and perform biological control procedures Source: International Congress 2014 – EW8 Spirometry knowledge and basic skills (European spirometry training programme) Year: 2014
Virtual respiratory system for interactive e-learning of spirometry Source: Eur Respir Rev 2008; 17: 36-38 Year: 2008
Use of machine learning to develop algorithm: advantages and limitations for clinical practice Source: Value-Dx event 2019: VALUE-Dx kick off meeting and course Year: 2019
Performance of built-in software in home ventilators for assessment of leaks: A bench model study Source: Annual Congress 2010 - Noninvasive ventilation: technical, logistical and organisational aspects Year: 2010
Multi-source feedback tool: using coaching skills to give feedback Source: Virtual Congress 2021 – PDW Educational supervision at work: clinical performance assessment Year: 2021
Keynote: Big data, machine learning and AI for COVID-19 Source: ERS Course 2021 - COVID-19: State of the art Year: 2021
Digital training programmes: the best of new resources Source: Virtual Congress 2021 – Virtual/multimodal education, communication skills Year: 2021
Workstation 1 – Equipment and infection control: see and handle a variety of different spirometers from hand-held to desktop devices, and see how they work, are cleaned and are maintained Source: International Congress 2014 – EW9 Spirometry knowledge and basic skills (European spirometry training programme) Year: 2014
Workstation 1 – Equipment and infection control: see and handle a variety of different spirometers from hand-held to desktop devices, and see how they work, are cleaned and are maintained Source: International Congress 2014 – EW8 Spirometry knowledge and basic skills (European spirometry training programme) Year: 2014
Workstation 1 – Equipment and infection control: see and handle a variety of different spirometers from hand-held to desktop devices, and see how they work, are cleaned and are maintained Source: International Congress 2014 – EW7 Spirometry knowledge and basic skills (European spirometry training programme) Year: 2014
Respiratory system auscultation using machine learning - a big step towards objectivisation? Source: International Congress 2019 – M-health/e-health I Year: 2019