Latest AI and machine learning research in lymphoma for healthcare professionals.
BACKGROUND: Each lung structure exhales a unique pattern of aerosols, which can be used to detect an...
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...
BACKGROUND: Although patients taking non-vitamin K antagonist oral anticoagulants (NOACs) do not req...
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...
Medication non-adherence is a major concern in the healthcare industry and has led to increases in h...
Feature selection is an important problem in machine learning and data mining. We consider the probl...
AIM: We investigated the prognostic value of preoperative N-terminal pro-brain natriuretic peptide (...
MOTIVATION: Long non-coding RNAs (lncRNAs), which are non-coding RNAs of length above 200 nucleotide...
Characterization of tumors at the molecular level has improved our knowledge of cancer causation and...
A challenging problem when studying a dynamical system is to find the interdependencies among its in...
BACKGROUND: A brain-machine interface (BMI) should be able to help people with disabilities by repla...
Subclinical mastitis caused by Corynebacterium spp. (as a group and at the species level) was invest...
The problem of coexistence and dynamical behaviors of multiple equilibrium points is addressed for a...
MOTIVATION: As the quantity of genomic mutation data increases, the likelihood of finding patients w...
The present study explores for the first time the possibility of modelling sediment concentration wi...
Breast cancer is one of the most perilous diseases among women. Breast screening is a method of dete...
Supervised learning methods promise to improve integrated testing strategies (ITS), but must be adju...
Recent technological developments like cheap sensors and the decreasing costs of computational power...
Standard methods for the analysis of functional MRI data strongly rely on prior implicit and explici...