The increase in eye disorders among older individuals has raised concerns, necessitating
early detection through regular eye examinations. Age-related macular degeneration (AMD) …

The proposed AI-based diagnostic system aims to predict the respiratory support required
for COVID-19 patients by analyzing the correlation between COVID-19 lesions and the level …

Numerous studies over the past few decades have shown that RNAs are multifaceted,
multifunctional regulators of most cellular processes, contrary to the initial belief that they …

Pathological complete response (pCR) serves as a critical measure of the success of
neoadjuvant chemotherapy (NAC) in breast cancer, directly influencing subsequent …

Alzheimer's disease (AD) is a progressive neurodegenerative disorder that significantly
impairs cognitive functions, leading to memory loss and other behavioral changes. It is the …

The primary objective of this paper is to develop a machine learning-based approach
capable of predicting the treatment response of neoadjuvant chemotherapy (NAC) to …

Breast lesions constantly threaten the health of females. Segmentation methods of breast
lesions are important for clinical diagnosis, and neural networks have been widely used and …

Background Accumulating evidence indicates that the incidence of cancer is increasing in
the United Arab Emirates (UAE). This analysis aimed to determine the current cancer …

Objectives This study aimed to develop a deep learning radiomic model using multimodal
imaging to differentiate benign and malignant breast tumours. Methods Multimodality …

Breast cancer (BC) remains a significant global health concern, necessitating accurate and
efficient diagnostic approaches. In this study, we propose a comprehensive framework that …