Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...

A new nasal-delivered nanotherapy shows promise against aggressive glioblastoma tumors. By activating the STING immune pathway using gold-core spherical nucleic acids, researchers were able to reach ...

Melanoma remains one of the hardest skin cancers to diagnose because it often mimics harmless moles or lesions. While most artificial intelligence (AI) tools rely on dermoscopic images alone, they ...

Abstract: Brain tumors are considered one of the most severe diseases that significantly shorten patient lifespans. There are numerous methods for brain tumor identification, among them Machine ...

Aim: This study aims to develop a robust and lightweight deep learning model for early brain tumor detection using magnetic resonance imaging (MRI), particularly under constraints of limited data ...

Brain tumors pose a critical threat to human health, and early detection is essential for improving patient outcomes. This study presents two key enhancements to the YOLOv11 architecture aimed at ...

The benefits of artificial intelligence (AI) in the medical space are ever-growing, but evidence suggests it can also come with risks. A new study by European researchers investigated how AI can ...

Abstract: This study examines the effectiveness of deep learning approaches in detecting brain tumors. Early diagnosis of brain tumors is critical for improving patients’ quality of life and ...

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...