Latest AI and machine learning research in lymphoma for healthcare professionals.
BACKGROUND: Dengue epidemics impose considerable strain on healthcare resources. Real-time continuou...
Nonalcoholic fatty liver disease (NAFLD), nowadays the most prevalent chronic liver disease in Weste...
Considering physical constraints encountered by actuators, this paper addresses the non-zero-sum gam...
BACKGROUND: To mitigate post-harvest losses and inform harvesting decisions at the same time as ensu...
An always-on electrocardiogram (ECG) anomaly detector (EAD) with ultra-low power (ULP) consumption i...
Total volatile basic nitrogen (TVB-N) serves as a crucial indicator for evaluating the freshness of ...
BACKGROUND: The most common route of breast cancer metastasis is through the mammary lymphatic netwo...
: Currently, no tool exists to predict clinical outcomes in patients with advanced Parkinson's disea...
Data-based predictions of individual Cognitive Behavioral Therapy (CBT) treatment response are a fun...
PURPOSE: The objective of this study was to preliminarily assess the ability of metabolic parameters...
Herin, a new nanohybrid acid catalyst was fabricated for the efficient biodiesel production. At the ...
Multi-center disease diagnosis aims to build a global model for all involved medical centers. Due to...
Accurate processing and analysis of non-human primate (NHP) brain magnetic resonance imaging (MRI) s...
This study explored the application of machine learning in predicting post-treatment outcomes for ch...
In this retrospective study, we aimed to assess the objective and subjective image quality of differ...
OBJECTIVE: Clinical stage IA non-small cell lung cancer (NSCLC) showing a pure-solid appearance on c...
BACKGROUND: The best method for selecting embryos ploidy is preimplantation genetic testing for aneu...
Removal of perfluorooctanoic acid (PFOA) from water matrices is crucial owing to its pervasiveness a...
Evaluation of skin recovery is an important step in the treatment of burns. However, conventional me...
Graph Neural Networks (GNNs) have demonstrated remarkable success in graph node classification task....
BACKGROUND: In laparoscopic liver surgery, accurately predicting the displacement of key intrahepati...