HR-SC-an academic-developed machine learning framework to classify HRD-positive ovarian cancer patients and predict sensitivity to olaparib
HR-SC 是一个学术界开发的机器学习框架，用于对 HRD 阳性卵巢癌患者进行分类并预测其对奥拉帕尼的敏感性。
期刊:ESMO Open
影响因子:8.3
doi:10.1016/j.esmoop.2025.105060
Beltrame, L; Mannarino, L; Sergi, A; Velle, A; Treilleux, I; Pignata, S; Paracchini, L; Harter, P; Scambia, G; Perrone, F; González-Martin, A; Berger, R; Arenare, L; Hietanen, S; Califano, D; Derio, S; Van Gorp, T; Dalessandro, M L; Fujiwara, K; Provansal, M; Lorusso, D; Buderath, P; Masseroli, M; Ray-Coquard, I; Pujade-Lauraine, E; Romualdi, C; D'Incalci, M; Marchini, S
