The application of artificial intelligence (AI) in lung cancer, particularly in surgical
approaches, has significantly transformed the healthcare landscape. AI has demonstrated …

The incorporation of machine learning (ML) into healthcare information systems (IS) has
transformed multi-objective healthcare management by improving patient monitoring …

Overview: The targeted administration of anticancer therapies, particularly through folate
receptor (FR)-mediated targeting, enhances treatment effectiveness while minimizing side …

Objective: Curcumin, a potent polyphenolic compound, has been closely studied for its
potential to improve the efficacy of cancer treatments. With its antioxidant, anti-inflammatory …

This review examines the emerging applications of machine learning (ML) and radiomics in
the diagnosis and prediction of placenta accreta spectrum (PAS) disorders, addressing a …

Objectives Inflammation is increasingly recognized as a key factor in the pathophysiology of
bronchopulmonary dysplasia (BPD). While previous research has established significant …

Aim Endometrial cancer (EC) is one of the common diseases that affects women. In an
advanced state, malignant cells become resistant to chemotherapy, reducing patients' …

Overview: Oral cancer remains a significant health challenge due to its aggressive nature
and limited treatment options. This study investigates the use of niosome nanoparticles to …

Background: One of the major concerns in contemporary medical science is the issue of
cancer, with ovarian cancer being a significant contributor to cancer-related deaths. A key …

Аннотация Схема лечения рака претерпела существенные изменения благодаря
интеграции мультимодальных подходов, в которых ключевую роль играет хирургия. В …