Latest AI and machine learning research in lymphoma for healthcare professionals.
The underlying mechanism of non-ionic iodinated contrast media-related immediate reactions was evalu...
Artificial neural network (ANN) modeling was applied to thermal data obtained by non-isothermal ther...
OBJECTIVE: Given the availability of extensive digitized healthcare data from medical records, claim...
Cheap ubiquitous computing enables the collection of massive amounts of personal data in a wide vari...
BACKGROUND: The purpose of this study is to assess incidence and risk factors for severe renal dysfu...
Precise definition of the mitral valve plane (VP) during segmentation of the left ventricle for SPEC...
Green tea consumption is associated with chemoprevention of many cancer types. Fresh tea leaves are ...
BACKGROUND: Osteoprotegerin (OPG) is a member of the tumor necrosis factor superfamily. Reduced OPG ...
Three new D-A-π-A metal-free organic dyes based on phenothiazine as a donor (D) and non-conjugated π...
Recently, L1-norm-based discriminant subspace learning has attracted much more attention in dimensio...
Synthetic amorphous silica nanoparticles (SAS NPs) have been used in various industries, such as pla...
We present a framework for combining a cardiac motion atlas with non-motion data. The atlas represen...
The diagnosis of metabolic syndrome (MetS) has a leading role in the early prevention of chronic dis...
Non-small cell lung cancer (NSCLC) is the most dominating and lethal type of lung cancer triggering ...
Inflammatory bowel disease (IBD) and alimentary lymphoma (ALA) are common gastrointestinal diseases ...
This paper proposes a pipelined non-deterministic finite automaton (NFA)-based string matching schem...
The success of myoelectric pattern recognition (M-PR) mostly relies on the features extracted and cl...
BACKGROUND: The novel prodrug tenofovir alafenamide delivers the nucleotide reverse transcriptase in...
BACKGROUND: Tenofovir alafenamide is a novel prodrug formulated to deliver the active metabolite to ...
Attributing mind to interaction partners has been shown to increase the social relevance we ascribe ...
Some biologists have abandoned the idea that computational efficiency in processing multipart tasks ...