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Trouble ventilatoire obstructif

Publications associées (33)

Deep learning parametric response mapping from inspiratory chest CT scans: a new approach for small airway disease screening

Jiancheng Yang, Zhiye Wang, Jun Lu, Zhigang Li, Lin Qi, Ming Li, Bo Du, Yuxuan Sun, Ziyi Liu

Objectives Parametric response mapping (PRM) enables the evaluation of small airway disease (SAD) at the voxel level, but requires both inspiratory and expiratory chest CT scans. We hypothesize that deep learning PRM from inspiratory chest CT scans can eff ...

London2023

Impact of COVID-19 on long-term lung function in lung transplant recipients: A single-center retrospective cohort study

Nahal Mansouri

Available data are limited concerning long-term lung function (LF) evolution after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in lung transplant (LT) recipients. The aim of this study is to determine the effect of first SARS-CoV ...

WILEY2023

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

Mary-Anne Hartley

BackgroundInterstitial lung diseases (ILD), such as idiopathic pulmonary fibrosis (IPF) and non-specific interstitial pneumonia (NSIP), and chronic obstructive pulmonary disease (COPD) are severe, progressive pulmonary disorders with a poor prognosis. Prom ...

BMC2023

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

Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium

Kamiar Aminian, Anisoara Ionescu, Abolfazl Soltani, Francesca Salis

Background: Although digital mobility outcomes (DMOs) can be readily calculated from real-world data collected with wearable devices and ad-hoc algorithms, technical validation is still required. The aim of this paper is to comparatively assess and validat ...

BMC2023

Medical and Personal Characteristics Can Predict the Risk of Lung Metastasis

Michele De Palma, Nahal Mansouri

Aims: Understanding the correlations between underlying medical and personal characteristics of a patient with cancer and the risk of lung metastasis may improve clinical management and outcomes. We used machine learning methodologies to predict the risk o ...

2023

The mitochondrial calcium uniporter (MCU) activates mitochondrial respiration and enhances mobility by regulating mitochondrial redox state

Sonia Karaz, Umberto De Marchi, Vincenzo Sorrentino, Federico Sizzano

Regulation of mitochondrial redox balance is emerging as a key event for cell signaling in both physiological and pathological conditions. However, the link between the mitochondrial redox state and the modulation of these conditions remains poorly defined ...

ELSEVIER2023

Novel trehalose-based excipients for stabilizing nebulized anti-SARS-CoV-2 antibody

Sandrine Gerber, François Rémi Pierre Noverraz, Solène Marcelle Françoise Marie Passemard

COVID-19 is caused by the infection of the lungs by SARS-CoV-2. Monoclonal antibodies, such as sotrovimab, showed great efficiency in neutralizing the virus before its internalization by lung epithelial cells. However, parenteral routes are still the prefe ...

2022

Bayesian inference with Expectation Maximisation for the characterisation of antibiotic treatment recovery in Cystic Fibrosis

Tristan Pierre Benoit Trebaol

Main project. Chronic episodes of sudden pulmonary deterioration followed by insufficient recoveries from antibiotic treatments are the main driver of morbidity and mortality in Cystic Fibrosis (CF). Study of recovery is performed to improve CF care monito ...

2021

Enhancing mitochondrial quality control to fight neuromuscular degeneration in aging and disease

Mario Romani

Loss of mitochondrial function and proteostasis typify aging and age-associated degenerative disorders such as Alzheimer's disease and muscle aging. To date, no cure or preventive measure is available to manage these conditions. Alterations of cellular pro ...

EPFL2021

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