Latest AI and machine learning research in lymphoma for healthcare professionals.
In this paper, we explore several fundamental theoretical issues in cell-based neural architecture s...
Cell motility in dense cell collectives is pivotal in various diseases like cancer metastasis and as...
The accurate prediction of neurotoxicity in peptides and proteins is essential for the safety evalua...
Metabolic syndrome (MetS) is related to non-communicable diseases (NCDs) such as type 2 diabetes (T2...
AIM: To evaluate different tools to screen for periodontal diseases and/or evaluate the risk for dis...
OBJECTIVE: To evaluate the impact of deep learning-based image conversion on the accuracy of automat...
Total volatile base nitrogen (TVB-N) is a key indicator of shrimp freshness. Nevertheless, tradition...
OBJECTIVE: The aim of this investigation is to assess the clinical usefulness of a machine learning ...
Sickle cell retinopathy (SCR) is an ocular manifestation of sickle cell disease (SCD). In SCR abnorm...
PURPOSE: This study aims to develop and validate a multiregional radiomics model to predict patholog...
Wnt signaling is important in embryonic development and tumorigenesis. These biological effects can ...
PURPOSE: This study was designed to evaluate the postoperative frailty status of patients with non-s...
Lymphoma, a clonal malignancy from lymphocytes, includes diverse subtypes requiring distinct immunoh...
Recent advancements in artificial intelligence (AI) and traffic sensing technologies provide signifi...
BACKGROUND: Patients presenting with non-ST elevation myocardial infarction (NSTEMI) are typically e...
PURPOSE: To develop an AI-based diagnostic model for assessing cervical lymph nodes in head and neck...
The direction of anticancer therapies has changed in recent years, including the increasing use of i...
Primary Central Nervous System Lymphoma (PCNSL) is a rare and aggressive type of hematological malig...
Carotenoids are vital pigments influencing both the coloration and health of aquatic organisms, part...
To development a deep learning（DL） model based on conventional MRI for automatic segmentation and di...
PURPOSE: Large language models (LLMs) have shown potential in medicine, transforming patient educati...