Multimodal Study Uses Machine Learning to Improve Risk-Stratification of HGSOC
A recent study published in Nature Cancer talks about harnessing the power of machine learning to help predict prognosis and response to treatment for those with high-grade serous ovarian cancer (HGSOC). The study is co-authored by OCRA grantees Sohrab Shah, PhD, of Memorial Sloan Kettering Cancer Center – a two-time OCRA grant recipient, most recently … Continued