Latest AI and machine learning research in lymphoma for healthcare professionals.
Accurate stroke assessment and consequent favorable clinical outcomes rely on the early identificati...
Crohn's disease (CD) arises from intricate intercellular interactions within the intestinal lamina p...
The tumor microenvironment (TME) plays a critical role in disease progression and is a key determina...
The current study presents a steadfast, simple, and efficient approach for the non-invasive determin...
BACKGROUND: With rising incidence of skin cancer and relatively increased mortality rates, an improv...
BACKGROUND: Myocardial infarction and non-obstructive coronary arteries (MINOCA) affects 1 in 9 pati...
Utilizing large-scale epigenomics data, deep learning tools can predict the regulatory activity of g...
OBJECTIVES: The application of artificial intelligence (AI) to the field of pathology has facilitate...
The illegal adulteration of non-dairy cream in milk fat cream during the manufacturing process of ba...
In this study, we built classification models using machine learning techniques to predict the bioac...
PURPOSE: Gastric cancer is an important health burden characterized by high prevalence and mortality...
BACKGROUND: Monitoring blood pressure and peripheral capillary oxygen saturation plays a crucial rol...
BACKGROUND: Colorectal cancer is one of the most serious malignant tumors, and lymph node metastasis...
Clinical prognostic scoring systems have limited utility for predicting treatment outcomes in lympho...
BACKGROUND: For patients with early-stage breast cancers, neoadjuvant treatment is recommended for n...
Major retinopathies can differentially impact the arteries and veins. Traditional fundus photography...
Robots in manufacturing alleviate hazardous environmental conditions, reduce the physical/mental str...
BACKGROUND: Neoadjuvant immunochemotherapy has been increasingly applied to treat non-small cell lun...
PURPOSE: Due to the rarity of primary gastrointestinal lymphoma (PGIL), the prognostic factors and o...
Artificial Intelligence and Machine learning have been widely used in various fields of mathematical...
Analysis of volatile organic compounds (VOCs) can be an effective strategy to inspect the quality of...