Publications related to Bronchitis

How to Count Coughs: An Event-Based Framework for Evaluating Automatic Cough Detection Algorithm Performance

David Atienza Alonso, Tomas Teijeiro Campo, Lara Orlandic, Jonathan Dan, Jérôme Paul Rémy Thevenot

Chronic cough disorders are widespread and challenging to assess because they rely on subjective patient questionnaires about cough frequency. Wearable devices running Machine Learning (ML) algorithms are promising for quantifying daily coughs, providing c ...

arXiv2024

Inhalation of Microplastics—A Toxicological Complexity

Florian Frédéric Vincent Breider, Myriam Borgatta

Humans are chronically exposed to airborne microplastics (MPs) by inhalation. Various types of polymer particles have been detected in lung samples, which could pose a threat to human health. Inhalation toxicological studies are crucial for assessing the e ...

2024

DeepBreath-automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries

Martin Jaggi, Mary-Anne Hartley, Juliane Dervaux, Tatjana Chavdarova, Daniel Mueller, Julien Niklas Heitmann, Daniel Hinjos García

The interpretation of lung auscultation is highly subjective and relies on non-specific nomenclature. Computer-aided analysis has the potential to better standardize and automate evaluation. We used 35.9 hours of auscultation audio from 572 pediatric outpa ...

NATURE PORTFOLIO2023

A Multimodal Dataset for Automatic Edge-AI Cough Detection

David Atienza Alonso, Tomas Teijeiro Campo, Lara Orlandic, Jérôme Paul Rémy Thevenot

Counting the number of times a patient coughs per day is an essential biomarker in determining treatment efficacy for novel antitussive therapies and personalizing patient care. Automatic cough counting tools must provide accurate information, while runnin ...

2023

A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classification

David Atienza Alonso, Tomas Teijeiro Campo, Lara Orlandic

Background and Objective: Cough audio signal classification is a potentially useful tool in screening for respiratory disorders, such as COVID-19. Since it is dangerous to collect data from patients with contagious diseases, many research teams have turned ...

2023

Inhibition of mitophagy drives macrophage activation and antibacterial defense during sepsis

Johan Auwerx, Antoine Jalil

Mitochondria have emerged as key actors of innate and adaptive immunity. Mitophagy has a pivotal role in cell homeostasis, but its contribution to macrophage functions and host defense remains to be delineated. Here, we showed that lipopolysaccharide (LPS) ...

AMER SOC CLINICAL INVESTIGATION INC2020

Increased Myeloid Cell Production and Lung Bacterial Clearance in Mice Exposed to Cigarette Smoke

Alessandra Piersigilli

Pneumonia is a leading cause of hospitalization in patients with chronic obstructive pulmonary disease (COPD). Although most patients with COPD are smokers, the effects of cigarette smoke exposure on clearance of lung bacterial pathogens and on immune and ...

Amer Thoracic Soc2016

Optimized autofluorescence bronchoscopy using additional backscattered red light

Hubert van den Bergh, Georges Wagnières, Tanja Gabrecht

Autofluorescence bronchoscopy (AFB) has been shown to be a highly sensitive tool for the detection of early endobronchial cancers. When excited with blue-violet light, early neoplasia in the bronchi tend to show a decrease of autofluorescence in the green ...

2007

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Bronchitis

How to Count Coughs: An Event-Based Framework for Evaluating Automatic Cough Detection Algorithm Performance

Inhalation of Microplastics—A Toxicological Complexity

DeepBreath-automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries

A Multimodal Dataset for Automatic Edge-AI Cough Detection

Deep learning diagnostic and severity-stratification for interstitial lung diseases and chronic obstructive pulmonary disease in digital lung auscultations and ultrasonography: clinical protocol for an observational case-control study

A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classification

Inhibition of mitophagy drives macrophage activation and antibacterial defense during sepsis

Increased Myeloid Cell Production and Lung Bacterial Clearance in Mice Exposed to Cigarette Smoke

Mycobacterium tuberculosis persistence mutants identified by screening in isoniazid-treated mice

Optimized autofluorescence bronchoscopy using additional backscattered red light

Graph Chatbot

Chat with Graph Search

Deep learning diagnostic and severity-stratification for interstitial lung diseases and chronic obstructive pulmonary disease in digital lung auscultations and ultrasonography: clinical protocol for an observational case-control study

DeepBreath-automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries

How to Count Coughs: An Event-Based Framework for Evaluating Automatic Cough Detection Algorithm Performance

A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classification

A Multimodal Dataset for Automatic Edge-AI Cough Detection

Inhalation of Microplastics—A Toxicological Complexity

Inhibition of mitophagy drives macrophage activation and antibacterial defense during sepsis

Optimized autofluorescence bronchoscopy using additional backscattered red light

Increased Myeloid Cell Production and Lung Bacterial Clearance in Mice Exposed to Cigarette Smoke

Mycobacterium tuberculosis persistence mutants identified by screening in isoniazid-treated mice