Latest AI and machine learning research in lung cancer for healthcare professionals.
PURPOSE: To investigate deep reinforcement learning (DRL) based on historical treatment plans for de...
Enhancement of antibody-dependent cellular cytotoxicity (ADCC) may potentiate the antitumor efficacy...
This study investigated a lycopene-rich extract from red guava (LEG) for its chemical composition us...
Limited therapeutic options exist for inoperable bilateral kidney tumors. We report the first ever u...
BACKGROUND: Biomarkers improving risk prediction for elderly populations with chronic kidney disease...
The aim of this study was to investigate the impact of pixel-based machine learning (ML) techniques,...
The fundamental technique of performing percutaneous cardiovascular (CV) interventions has remained ...
Mummy berry, caused by Monilinia vaccinii-corymbosi, causes economic losses of highbush blueberry in...
The determination of the glomerular filtration rate (GFR) is critical for the selection of potential...
INTRODUCTION: American Indian/Alaska Native (AI/AN) patients with cancer disproportionally present w...
Lung disease risk stratification is important for both diagnosis and treatment planning, particularl...
Solar energy is considered as one of the main sources for renewable energy in the near future. Howev...
Robotic technology has been utilized in cardiovascular medicine for over a decade, and over that per...
BACKGROUND: The impact of a diminished level of kidney function on the well-being of an older indivi...
Shortwave solar radiation is an important component of the surface energy balance and provides the p...
OBJECTIVE: This study aims to evaluate the development of an artificial neural network (ANN) method ...
A rapid, sensitive, and robust reversed-phase liquid chromatography with tandem mass spectrometry me...
PURPOSE: To explore the prostate-specific membrane antigen (PSMA)-avid distribution of prostate canc...
Mesenteric approach is an artery-first approach during pancreaticoduodenectomy (PD). In the present ...
BACKGROUND: Knowledge-based planning (KBP) is a promising technique that can improve plan quality an...
Machine learning applications for personalized medicine are highly dependent on access to sufficient...