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Douville and his team use machine learning techniques to detect early cancer warning signs; $250,000 award will support the translation of this work to tools and technologies that benefit patients
Researchers with the Johns Hopkins Kimmel Cancer Center, the Johns Hopkins University School of Medicine and four other institutions have developed a molecular test to identify the presence of brain tumors by measuring abnormal genetic material shed by tumors and circulating in cerebrospinal fluid (CSF). A description of the work was published Aug. 15 in the journal Cell Reports Medicine.