They tracked the cancer origin and type by comparing patient tumor samples of brain cancer pathology, with the analysis of cell-free DNA circulating in the blood plasma from 221 patients.

More information: Faris Rustom et al, Deep Learning and Transfer Learning for Brain Tumor Detection and Classification, Biology Methods and Protocols (2024). DOI: 10.1093/biomethods/bpae080.

In laboratory evaluations of the test in 280 CSF samples from patients, some with brain or other cancers and some without cancer, Real-CSF correctly identified 67% of 184 cancerous brain lesions ...

Study: Deep learning and transfer learning for brain tumor detection and classification.Image Credit: Elif Bayraktar/Shutterstock.com. In a recent study published in Biology Methods and Protocols ...

Researchers have developed an artificial intelligence (AI) model to detect the spread of metastatic brain cancer using MRI scans, offering insights into patients' cancer without aggressive surgery ...

MANILA, Philippines — The Philippine General Hospital (PGH) is studying the viability of using Taiwanese artificial intelligence (AI) software that can detect brain tumors in five minutes. PGH ...

Researchers have developed an artificial intelligence (AI) model to detect the spread of metastatic brain cancer using MRI scans, offering insights into patients' cancer without aggressive surgery ...