Latest AI and machine learning research in lymphoma for healthcare professionals.
Sentinel lymph node biopsy is an important diagnostic procedure performed in early breast cancer pat...
BACKGROUND: Hybrid PET/MRI can non-invasively improve localization and delineation of the epileptic ...
Total metabolic tumor volume (TMTV), calculated from F-FDG PET/CT baseline studies, is a prognostic ...
Diffusion tensor magnetic resonance imaging (DTI) is unsurpassed in its ability to map tissue micros...
Optimizing athlete's performance is one of the most important and challenging aspects of coaching. P...
BACKGROUND AND OBJECTIVE: In lung cancer, the determination of mediastinal lymph node (MLN) status a...
Non-targeted analysis provides a comprehensive approach to analyze environmental and biological samp...
The peritoneal interposition flap (PIF) has been shown to prevent postoperative symptomatic lymphoc...
PURPOSE: Estimation of accurate attenuation maps for whole-body positron emission tomography (PET) i...
The purpose of this study was to assess, by analyzing features of the primary tumor with F-FDG PET,...
OBJECTIVE: We aimed to identify new biomarkers in Diffuse Large B-cell Lymphoma (DLBCL) using the de...
The therapeutic concept of unleashing a pre-existing immune response against the tumor by the applic...
This work focused on the combination of CdTe and AgInS quantum dots in a dual-emission nanoprobe for...
Non-coding variants have been shown to be related to disease by alteration of 3D genome structures. ...
Background Coronavirus disease 2019 (COVID-19) has widely spread all over the world since the beginn...
Cell Population Data (CPD) provides various blood cell parameters that can be used for differential ...
. Given the burgeoning impacts of climatic variability on human health, suitable computational parad...
Deriving accurate structural maps for attenuation correction (AC) of whole-body positron emission to...
Due to its toxicity and persistence, pesticide pollution poses a serious threat to human health and ...
BACKGROUND: The purpose of this study was to build radiogenomics models from texture signatures deri...
The goal of this study was to compare the predictive performance of artificial neural networks (ANNs...