Lung cancer remains one of the leading causes of cancer-related mortality globally,
necessitating advancements in early detection, prognosis, and therapeutic strategies …

Deep learning has emerged as a powerful tool in radiology, particularly for enhancing the
accuracy of breast cancer detection and diagnosis. This study explores the potential of deep …

Cancer immunotherapy has emerged as a promising treatment strategy, harnessing the
body's immune system to target and eliminate tumor cells. However, despite significant …

Artificial intelligence (AI) is poised to revolutionize the early detection and prognosis of
cardiovascular diseases (CVDs), which remain a leading cause of morbidity and mortality …

The detection of fetal brain and heart abnormalities is crucial for early intervention and
improved health outcomes. Traditional diagnostic methods, while effective, often rely on a …

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by
cognitive decline, memory loss, and behavioral changes. Early diagnosis and accurate …

Colorectal cancer (CRC) remains one of the leading causes of cancer-related mortality
worldwide, with its prognosis and treatment outcomes varying significantly between …

Single-cell transcriptomics has revolutionized our understanding of cellular heterogeneity by
enabling the profiling of gene expression at single-cell resolution. This field has witnessed …

Immune evasion in cancer remains a critical obstacle to effective cancer immunotherapy.
Tumor cells have developed complex mechanisms to evade detection and elimination by …

C3 photosynthesis, the most common form of photosynthesis in plants, is limited by
photorespiration, a wasteful process that reduces efficiency under certain environmental …