Results 51 to 60 of about 1,346,074 (337)
Comorbidities in interstitial lung diseases
Fibrosing lung disorders include a large number of diseases with diverse behaviour. Patients can die because of the progression of their illness, remain stable or even improve after appropriate treatment has been instituted.
George A. Margaritopoulos+2 more
doaj +1 more source
Extensive scars develop in deep wounds as opposed to superficial wounds but it is unclear why. Here, the authors use live imaging of physiologic wounds and scars formed ex vivo to show that fascia fibroblasts upregulate N-cadherin allowing coordinated ...
Dongsheng Jiang+18 more
doaj +1 more source
The NlpC_P60 superfamily of peptidases is recognised by its key role in bacterial cell wall homeostasis. Recently, studies have also described the involvement of NlpC_P60‐like enzymes in bacterial competitive mechanisms and pathogenesis across several lineages.
Catharina dos Santos Silva+1 more
wiley +1 more source
Lung ultrasound surface wave elastography for assessing instititial lung disease [PDF]
Lung ultrasound surface wave elastography (LUSWE) is a novel noninvasive technique for measuring superficial lung tissue stiffness.The purpose of this study was to translate LUSWE for assessing patients with interstitial lung disease (ILD) and various connective diseases including systemic sclerosis (SSc).In this study, LUSWE was used to measure the ...
arxiv +1 more source
Development of a Multi-Task Learning V-Net for Pulmonary Lobar Segmentation on Computed Tomography and Application to Diseased Lungs [PDF]
Automated lobar segmentation allows regional evaluation of lung disease and is important for diagnosis and therapy planning. Advanced statistical workflows permitting such evaluation is a needed area within respiratory medicine; their adoption remains slow, with poor workflow accuracy. Diseased lung regions often produce high-density zones on CT images,
arxiv
A single population of interferon-regulatory factor 8 (Irf8)-dependent conventional dendritic cell (cDC type1) is considered to be responsible for both immunogenic and tolerogenic responses depending on the surrounding cytokine milieu. Here, we challenge
Adan Chari Jirmo+19 more
doaj +1 more source
Urine is a rich source of biomarkers for cancer detection. Tumor‐derived material is released into the bloodstream and transported to the urine. Urine can easily be collected from individuals, allowing non‐invasive cancer detection. This review discusses the rationale behind urine‐based cancer detection and its potential for cancer diagnostics ...
Birgit M. M. Wever+1 more
wiley +1 more source
AI-Decision Support System Interface Using Cancer Related Data for Lung Cancer Prognosis [PDF]
Until the beginning of 2021, lung cancer is known to be the most common cancer in the world. The disease is common due to factors such as occupational exposure, smoking and environmental pollution. The early diagnosis and treatment of the disease is of great importance as well as the prevention of the causes that cause the disease.
arxiv
Cancer‐associated fibroblasts (CAFs) promote cancer growth, invasion (metastasis), and drug resistance. Here, we identified functional and diverse circulating CAFs (cCAFs) in patients with metastatic prostate cancer (mPCa). cCAFs were found in higher numbers and were functional and diverse in mPCa patients versus healthy individuals, suggesting their ...
Richell Booijink+6 more
wiley +1 more source
Inception-Based Network and Multi-Spectrogram Ensemble Applied For Predicting Respiratory Anomalies and Lung Diseases [PDF]
This paper presents an inception-based deep neural network for detecting lung diseases using respiratory sound input. Recordings of respiratory sound collected from patients are firstly transformed into spectrograms where both spectral and temporal information are well presented, referred to as front-end feature extraction.
arxiv