Glioma represents a dominant primary intracranial malignancy in the central nervous
system. Artificial intelligence that mainly includes machine learning, and deep learning …

Background: Generative artificial intelligence tools and applications (GenAI) are being
increasingly used in health care. Physicians, specialists, and other providers have started …

According to previous research, turmeric seeds exhibit anti-inflammatory, anti-malignancy,
and anti-aging properties due to an abundance of terpinen-4-ol (T4O). Although it is still …

Texture-based convolutional neural networks (CNNs) have shown great promise in
predicting various types of cancer, including lower grade glioma (LGG) through radiomics …

Clinical efforts on precision medicine are driving the need for accurate diagnostic, new
prognostic and novel drug predictive assays to inform patient selection and stratification for …

Purpose. To establish an effective and accurate prognostic nomogram for lung
adenocarcinoma (LUAD). Patients and Methods. 62,355 LUAD patients from 1975 to 2016 …

Background The effect of chemical exposure on obesity has raised great concerns. Real-
world chemical exposure always imposes mixture impacts, however their exposure patterns …

BACKGROUND The development of precision medicine is essential for personalized
treatment and improved clinical outcome, whereas biomarkers are critical for the success of …

This review furnishes an exhaustive analysis of the latest advancements in deep learning
techniques applied to whole slide images (WSIs) in the context of cancer prognosis …

Abstract Background Long noncoding RNAs (lncRNAs) have been reported to play an
important role in tumor immune modification. Nonetheless, the clinical implication of immune …