Breast cancer is a prevalent and life-threatening disease that requires effective detection
and diagnosis methods to improve patient outcomes. Deep learning (DL) and machine …

In recent years, developing the idea of “cancer big data” has emerged as a result of the
significant expansion of various fields such as clinical research, genomics, proteomics and …

Precision medicine and personalized medicine are two approaches to healthcare that aim to
tailor medical treatments and interventions to individual patients. These approaches are …

With advancements in modern medical technology, an increasing amount of cancer-related
information can be acquired through various means, such as genomics, proteomics …

Breast cancer remains a major public health challenge worldwide. The identification of
accurate biomarkers is critical for the early detection and effective treatment of breast cancer …

Accurate visualization of tumor microenvironment is of great significance for personalized
medicine. Here, we develop a near‐infrared (NIR) fluorescence/photoacoustic (FL/PA) dual …

Obstructive sleep apnea (OSA) is closely associated with the development and chronicity of
temporomandibular disorder (TMD). Given the intricate pathophysiology of both OSA and …

Diseases of the lung account for more than 5 million deaths worldwide and are a healthcare
burden. Improving clinical outcomes, including mortality and quality of life, involves a holistic …

Sarcopenia is a progressive disorder characterized by age-related loss of skeletal muscle
mass and function. Although significant progress has been made over the years to identify …

The current work investigates the effect of humid conditions on the glass cover temperature
distribution of the parabolic trough solar collector system. For the aforementioned work, a …