Publications de Nahal Mansouri

Harnessing deep learning to detect bronchiolitis obliterans syndrome from chest CT

Pascal Fua, Michele De Palma, Nahal Mansouri, Jakub Jan Gwizdala

BackgroundBronchiolitis Obliterans Syndrome (BOS), a fibrotic airway disease that may develop after lung transplantation, conventionally relies on pulmonary function tests (PFTs) for diagnosis due to limitations of CT imaging. Deep neural networks (DNNs) h ...

SPRINGERNATURE2025

Trajectories of macrophage ontogeny and reprogramming in cancer

Michele De Palma, Céline Wyser Rmili, Gael Luis Boivin, Alan Nicolas Thierry Guichard, Nahal Mansouri

Tumor-associated macrophages (TAMs) often manifest immunosuppressive and tumor-promoting phenotypes contributing to immunotherapy resistance. Dicer1 inactivation in TAMs (DKO) prompts their immunostimulatory activation, enabling effective immunotherapy in ...

2025

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

Basophils inhibit tumors by suppressing Tregs

Michele De Palma, Bruno Torchia, Nahal Mansouri, Simge Yücel

European Respiratory Soc Journals Ltd2023

Personalized predictions of adverse side effects of the COVID-19 vaccines

Sahand Jamal Rahi, Nahal Mansouri

Background: Misconceptions about adverse side effects are thought to influence public acceptance of the Coronavirus disease 2019 (COVID-19) vaccines negatively. To address such perceived disadvantages of vaccines, a novel machine learning (ML) approach was ...

ELSEVIER SCI LTD2023

Cytokine-armed dendritic cell progenitors for antigen-agnostic cancer immunotherapy

Michele De Palma, Bruno Torchia, Alan Nicolas Thierry Guichard, Yahya Mohammadzadeh, Ali Ghasemi, Nahal Mansouri

Dendritic cells (DCs) are antigen-presenting myeloid cells that regulate T cell activation, trafficking and function. Monocyte-derived DCs pulsed with tumor antigens have been tested extensively for therapeutic vaccination in cancer, with mixed clinical re ...

Nature Portfolio2023

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

The impact of COVID-19 on long term lung function in lung transplant recipients: a single-center retrospective study

Nahal Mansouri

European Respiratory Soc Journals Ltd2023

Longevity of immunity following COVID-19 vaccination: a comprehensive review of the currently approved vaccines

Nahal Mansouri

It is unknown how long the immunity following COVID-19 vaccination lasts. The current systematic review provides a perspective on the persistence of various antibodies for available vaccines.Both the BNT162b2 and the mRNA-1273 induce the production of IgA ...

TAYLOR & FRANCIS INC2022

Using Machine Learning to Predict Mortality for COVID-19 Patients on Day 0 in the ICU

Sahand Jamal Rahi, Nahal Mansouri

Rationale: Given the expanding number of COVID-19 cases and the potential for new waves of infection, there is an urgent need for early prediction of the severity of the disease in intensive care unit (ICU) patients to optimize treatment strategies.Objecti ...

FRONTIERS MEDIA SA2022

Using Machine Learning to Predict mortality for first-day COVID-19 patients presenting to the ICU

Sahand Jamal Rahi, Nahal Mansouri

EUROPEAN RESPIRATORY SOC JOURNALS LTD2021

Symptom Prediction and Mortality Risk Calculation for COVID-19 Using Machine Learning

Sahand Jamal Rahi, Nahal Mansouri

Background: Early prediction of symptoms and mortality risks for COVID-19 patients would improve healthcare outcomes, allow for the appropriate distribution of healthcare resources, reduce healthcare costs, aid in vaccine prioritization and self-isolation ...

FRONTIERS MEDIA SA2021

Symptom Prediction and Mortality Risk Calculation for COVID-19 Using Machine Learning

Sahand Jamal Rahi, Nahal Mansouri

EUROPEAN RESPIRATORY SOC JOURNALS LTD2021

Mesenchymal stromal cell exosomes prevent and revert experimental pulmonary fibrosis through modulation of monocyte phenotypes

Sina Nassiri, Nahal Mansouri

Mesenchymal stromal/stem cell (MSC) therapy has shown promise in experimental models of idiopathic pulmonary fibrosis (IPF). The aim of this study was to test the therapeutic effects of extracellular vesicles produced by human BM MSCs (MEx) in a bleomycin- ...

AMER SOC CLINICAL INVESTIGATION INC2019