Researchers at Tel Aviv University have printed an entire active and viable glioblastoma tumor using a 3D printer.
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A team of researchers at Washington University School of Medicine have developed a deep learning model that is capable of classifying a brain tumor as one of six common types using a single 3D MRI scan.
A tool, based on machine learning methods, that evaluates the potential contribution of all possible mutations in a gene in a given type of tumour to the development and progression of cancer.
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.