A new AI approach classifies a common type of brain tumour into low or high grades with almost 98% accuracy, researchers report.
Search for: glioblastoma
Researchers demonstrated a methodology that combines the bioprinting and imaging of glioblastoma cells in a way that more closely models what happens inside the human body.
Thanks to developments in 3D bioprinting, the UT researchers could create a miniature brain model representing the delicate tissue around the tumor, including the macrophages.
Researchers employ novel machine learning techniques that determines the fewest, smallest doses of toxic chemotherapy and radiotherapy that could still shrink glioblastomas.