Latest AI and machine learning research in lung cancer for healthcare professionals.
The study of radiation entrance and exit dynamics and energy consumption in a system is important fo...
(Verbenaceae) is a plant widely used in folk medicine to treat various diseases. The present work d...
To develop a patient-specific 'big data' clinical decision tool to predict pneumonitis in stage I no...
PURPOSE: The purpose of this study was to evaluate a receiver operating characteristic (ROC) curve m...
The dose from ionizing radiation exposure can be interpolated from a calibration curve fit to the fr...
BACKGROUND: The advantages of laparoscopic liver resection become more obvious as evidence on its lo...
Precision medicine relies on an increasing amount of heterogeneous data. Advances in radiation oncol...
The amount of coronary artery calcification (CAC) is a strong and independent predictor of cardiovas...
Non-small cell lung cancer (NSCLC) is the leading cause of cancer related deaths worldwide. But no o...
Dose from radiation exposure can be estimated from dicentric chromosome (DC) frequencies in metaphas...
PURPOSE: Intensity modulated radiation therapy (IMRT) is widely used to achieve a highly conformal d...
Detection and classification of cell nuclei in histopathology images of cancerous tissue stained wit...
BACKGROUND: Previous studies have raised concerns that video-assisted thoracoscopic (VATS) lobectomy...
BACKGROUND: Non-small cell lung cancer (NSCLC) is one of the leading causes of death globally, and r...
The relationship between hourly photosynthetically active radiation (PAR) and the global solar radia...
This study investigated differences between the clinical trajectories of diabetic nephropathy and ne...
Although data suggests little hope for survival when patients present with metastatic pancreatic can...
PURPOSE: Acute gastrointestinal (GI) toxicity has been studied in GI and gynecological (GYN) cancers...
PURPOSE: Urinary incontinence is a potential side effect of prostatectomy and intensity modulated ra...
A label-free electrochemiluminescence (ECL) cytosensor was developed for dynamically evaluating of e...
INTRODUCTION: We evaluated the incidence and predictors of the use of long-term (2-3 years) versus s...