Latest AI and machine learning research in lymphoma for healthcare professionals.
Numerous scientific fields rely on elaborate but partly suboptimal data processing pipelines. An exa...
Non-small cell lung cancer (NSCLC) is the leading cause of cancer related deaths worldwide. But no o...
Cell cutting is a significant task in biology study, but the highly productive non-embedded cell cut...
This paper describes the development of an artificial neural network (ANN) model based on economical...
Peptides' retention time prediction is gaining increasing popularity in liquid chromatography-tandem...
PURPOSE: Radical prostatectomy and complementary extended pelvic lymph node dissection (ePLND) of se...
The use of Cheminformatics tools is gaining importance in the field of translational research from M...
Asparaginase-associated concurrence of hyperlipidemia, hyperglobulinemia, and thrombocytosis is a ra...
Fibromyalgia syndrome (FMS), usually observed commonly in females over age 30, is a rheumatic diseas...
The effect of follicle-stimulating hormone (FSH) on apoptotic status of cumulus cells, expression of...
We herein report a case of primary adrenal lymphoma with severe hyponatremia. The patient was admitt...
Ginsenoside Rg1 is a natural compound with various efficacies and functions. It has beneficial effec...
Predicting the mass of solid waste generation plays an important role in integrated solid waste mana...
The artificial neural network (ANN) theory is applied to thermal data obtained by non-isothermal the...
Proteins embody epitopes that serve as their antigenic determinants. Epitopes occupy a central place...
There are about 200 species of mosquitoes (Culicidae) known to be vectors of pathogens that cause di...
Imaging of cancer with 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) has become ...
We investigate a new method to place patients into risk groups in censored survival data. Properties...
Characterization of tumors at the molecular level has improved our knowledge of cancer causation and...
The present study explores for the first time the possibility of modelling sediment concentration wi...
Supervised learning methods promise to improve integrated testing strategies (ITS), but must be adju...