Point-of-care breath sample analysis by semiconductor-based E-Nose technology discriminates non-infected subjects from SARS-CoV-2 pneumonia patients: a multi-analyst experiment.

Autor: Woehrle T; Department of Anesthesiology LMU University Hospital Ludwig Maximilian University Munich Germany., Pfeiffer F; Department of Anesthesiology LMU University Hospital Ludwig Maximilian University Munich Germany., Mandl MM; Institute for Medical Information Processing Biometry and Epidemiology Faculty of Medicine Ludwig Maximilian University Munich Germany.; Munich Center for Machine Learning Munich Germany., Sobtzick W; LANZ GmbH Bergisch Gladbach Germany., Heitzer J; Airbus Defence and Space GmbH Claude-Dornier-Straße Immenstaad Germany., Krstova A; Airbus Defence and Space GmbH Claude-Dornier-Straße Immenstaad Germany., Kamm L; Department of Anesthesiology LMU University Hospital Ludwig Maximilian University Munich Germany., Feuerecker M; Department of Anesthesiology LMU University Hospital Ludwig Maximilian University Munich Germany., Moser D; Department of Anesthesiology LMU University Hospital Ludwig Maximilian University Munich Germany., Klein M; Emergency Department LMU University Hospital Ludwig Maximilian University Munich Germany., Aulinger B; Department of Medicine II LMU University Hospital Ludwig Maximilian University Munich Germany., Dolch M; Department of Anesthesiology LMU University Hospital Ludwig Maximilian University Munich Germany.; Department of Anesthesiology Inn Klinikum Altötting Germany., Boulesteix AL; Institute for Medical Information Processing Biometry and Epidemiology Faculty of Medicine Ludwig Maximilian University Munich Germany.; Munich Center for Machine Learning Munich Germany., Lanz D; LANZ GmbH Bergisch Gladbach Germany., Choukér A; Department of Anesthesiology LMU University Hospital Ludwig Maximilian University Munich Germany.

Publikováno v: MedComm [MedComm (2020)] 2024 Oct 24; Vol. 5 (11), pp. e726. Date of Electronic Publication: 2024 Oct 24 (Print Publication: 2024).