Latest AI and machine learning research in lymphoma for healthcare professionals.
OBJECTIVES: The growing adoption of Large Language Models (LLMs) in medicine has raised important qu...
BACKGROUND: Despite effective treatments for opioid use disorder (OUD), relapse and treatment drop-o...
Emerging environmental contaminants (EECs) such as pharmaceuticals, pesticides, and industrial chemi...
OBJECTIVE: Hyaluronic acid (HA) can be degraded over time. However, the persistence of the effects a...
Ultrasonication (US) is a promising non-thermal technique widely applied in the food sector for impr...
Occupational lung diseases, such as silicosis, are a significant global health concern, especially w...
Background Plain language summaries (PLSs) make scientific research accessible to a broad non-expert...
Groundwater (GW) quality and contamination by potentially toxic elements (PTEs) are major concerns f...
Deep learning techniques are increasingly utilized to analyze large-scale single-cell RNA sequencing...
Long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) are crucial non-coding RNAs involved in variou...
With the rapid expansion of non-customized data assets, developing reliable and objective methods fo...
During the COVID-19 pandemic, Non-Pharmaceutical Interventions (NPIs) were imposed all over Europe w...
The development of optimized culture media is pivotal to advancements in human cell culture, underpi...
ICD coding, which involves assigning appropriate ICD codes to clinical notes, is essential for healt...
PURPOSE: Patients with identical stages or similar tumor volumes can vary significantly in their res...
Advanced imaging techniques, like magnetic resonance imaging (MRI), have revolutionised cardiovascul...
OBJECTIVES: To extract intratumoral, peritumoral, and integrated intratumoral-peritumoral CT radiomi...
PURPOSE: This study aimed to select robust features against lung motion in a phantom study and use t...
Contemporary deep face recognition techniques predominantly utilize the Softmax loss function, desig...
Neurologists in ambulatory settings struggle with low appointment availability and increased work re...
Invasive coronary physiology is underused and carries risks/costs. Artificial Intelligence (AI) migh...