Results 51 to 60 of about 9,219,248 (380)

Prognostic significance of tumor microenvironment assessed by machine learning algorithm in surgically resected non‐small cell lung cancer

open access: yesCancer Reports, EarlyView., 2023
Abstract Background A methodology to assess the immune microenvironment (IME) of non‐small cell lung cancer (NSCLC) has not been established, and the prognostic impact of IME factors is not yet clear. Aims This study aimed to assess the IME factors and evaluate their prognostic values. Methods and Results We assessed CD8+ tumor‐infiltrating lymphocyte (
Yukihiro Terada   +16 more
wiley   +1 more source

High Prevalence of Tuberculosis among Adults with Fever Admitted at a Tertiary Hospital in North-western Tanzania [PDF]

open access: yes, 2012
Tuberculosis is a leading cause of death in developing countries where HIV is endemic. This hospital based study was done to estimate the magnitude of pulmonary and extra-pulmonary tuberculosis and to determine predictors of tuberculosis among febrile ...
Kabangila, Rodrick   +4 more
core   +2 more sources

Health‐related quality of life following total minimally invasive, hybrid minimally invasive or open oesophagectomy: a population‐based cohort study

open access: yesBJS (British Journal of Surgery), EarlyView., 2020
All patients operated for oesophageal cancer in Sweden from 2013 to April 2018 were identified, and 246 patients were recruited to this population‐based nationwide Swedish study. The results show that longitudinal health‐related quality of life after minimally invasive oesophagectomy was similar to that of the open surgical approach.
F. Klevebro   +4 more
wiley   +1 more source

“Dancing Eye Syndrome” Secondary to Opsoclonus-Myoclonus Syndrome in Small-Cell Lung Cancer

open access: yesCase Reports in Medicine, 2014
Among paraneoplastic neurologic disorders (PND), opsoclonus-myoclonus syndrome, so-called “dancing eye syndrome,” is a rare disorder combining multivectorial eye movements, involuntary multifocal myoclonus, and cerebellar ataxia.
S. Laroumagne   +6 more
doaj   +1 more source

RECAP: Towards Precise Radiology Report Generation via Dynamic Disease Progression Reasoning [PDF]

open access: yesarXiv, 2023
Automating radiology report generation can significantly alleviate radiologists' workloads. Previous research has primarily focused on realizing highly concise observations while neglecting the precise attributes that determine the severity of diseases (e.g., small pleural effusion).
arxiv  

Automated Identification of Thoracic Pathology from Chest Radiographs with Enhanced Training Pipeline [PDF]

open access: yesProc. SPIE 10950, Medical Imaging 2019: Computer-Aided Diagnosis, vol. 10950, p. 109503F, (2019), 2020
Chest x-rays are the most common radiology studies for diagnosing lung and heart disease. Hence, a system for automated pre-reporting of pathologic findings on chest x-rays would greatly enhance radiologists' productivity. To this end, we investigate a deep-learning framework with novel training schemes for classification of different thoracic ...
arxiv   +1 more source

Bacterial Infection Elicits Heat Shock Protein 72 Release from Pleural Mesothelial Cells [PDF]

open access: yes, 2013
Heat shock protein 70 (HSP70) has been implicated in infection-related processes and has been found in body fluids during infection. This study aimed to determine whether pleural mesothelial cells release HSP70 in response to bacterial infection in vitro
Bielsa, S   +8 more
core   +1 more source

Indução de empiema em ratos através da inoculação pleural de bactérias Experimental empyema in rats through intrapleural injection of bacteria

open access: yesJornal de Pediatria, 2001
OBJETIVOS: avaliar a indução experimental de empiema em ratos, através da inoculação intrapleural de duas bactérias (Pasteurella multocida e Staphylococcus aureus), utilizando técnica cirúrgica simples e de fácil execução.
José Carlos Fraga   +5 more
doaj   +1 more source

Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans [PDF]

open access: yes, 2020
Pulmonary lobe segmentation in computed tomography scans is essential for regional assessment of pulmonary diseases. Recent works based on convolution neural networks have achieved good performance for this task. However, they are still limited in capturing structured relationships due to the nature of convolution.
arxiv   +1 more source

Artificial Intelligence Enhanced Rapid and Efficient Diagnosis of Mycoplasma Pneumoniae Pneumonia in Children Patients [PDF]

open access: yesarXiv, 2021
Artificial intelligence methods have been increasingly turning into a potentially powerful tool in the diagnosis and management of diseases. In this study, we utilized logistic regression (LR), decision tree (DT), gradient boosted decision tree (GBDT), support vector machine (SVM), and multilayer perceptron (MLP) as machine learning models to rapidly ...
arxiv  

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