Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Objective: The Cancer and Aging Research Group (CARG) score was developed to predict severe chemotherapy-induced toxicity risk in older adults; validation study results have varied. The Tolerance of Anti-cancer Systemic Therapy in the Elderly study sought to evaluate the CARG score prospectively in a chemotherapy-naïve UK population.
Methods And Analysis: This multicentre, prospective, observational study recruited patients aged ≥65 years commencing first-line chemotherapy for any solid organ malignancy or setting.
Blood-based DNA methylation markers for lung cancer prediction.
BMJ Oncol
May 2024
Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France.
Objective: Screening high-risk individuals with low-dose CT reduces mortality from lung cancer, but many lung cancers occur in individuals who are not eligible for screening. Risk biomarkers may be useful to refine risk models and improve screening eligibility criteria. We evaluated if blood-based DNA methylation markers can improve a traditional lung cancer prediction model.
View Article and Find Full Text PDFDevelopment of a clinical-radiological nomogram for predicting severe postoperative peritumoral brain edema following intracranial meningioma resection.
Front Neurol
January 2025
Department of Neurosurgery, Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Objective: The goal of this study was to develop a nomogram that integrates clinical data to predict the likelihood of severe postoperative peritumoral brain edema (PTBE) following the surgical removal of intracranial meningioma.
Method: We included 152 patients diagnosed with meningioma who were admitted to the Department of Neurosurgery at the Affiliated People's Hospital of Jiangsu University between January 2016 and March 2023. Clinical characteristics were collected from the hospital's medical record system.
Versatile waste sorting in small batch and flexible manufacturing industries using deep learning techniques.
Sci Rep
January 2025
School of Electrical Engineering, University of Belgrade, Bulevar Kralja Aleksandra 73, Belgrade, Serbia.
The expansion of LEAN and small batch manufacturing demands flexible automated workstations capable of switching between sorting various wastes over time. To address this challenge, our study is focused on assessing the ability of the Segment Anything Model (SAM) family of deep learning architectures to separate highly variable objects during robotic waste sorting. The proposed two-step procedure for generic versatile visual waste sorting is based on the SAM architectures (original SAM, FastSAM, MobileSAMv2, and EfficientSAM) for waste object extraction from raw images, and the use of classification architecture (MobileNetV2, VGG19, Dense-Net, Squeeze-Net, ResNet, and Inception-v3) for accurate waste sorting.
View Article and Find Full Text PDFRenal dysfunction contributes to deteriorated survival outcomes in patients with upper and lower gastrointestinal bleeding: insights from a cohort study of 1160 cases.
Sci Rep
January 2025
First Department of Medicine, Medical School, University of Pécs, Ifjúság Útja 13, 7624, Pécs, Hungary.
Both acute kidney injury and chronic kidney disease are risk factors for many outcomes of gastrointestinal bleeding (GIB). These are associated with higher mortality, longer hospitalisation, and greater need for transfusion in case of overt GIB. Our study aimed to further evaluate the role of kidney function in several clinical outcomes of GIB patients.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!