类有机物
卵巢癌
计算生物学
癌症
计算机科学
肿瘤科
医学
生物
内科学
神经科学
作者
Hongji Wu,Lifang Ma,Ling Wang,Xueping Zhu,Xiaogang Luo,Cong Zhang,Chunfang Ha,Yun Dang,Haixia Wang,Dongling Zou
标识
DOI:10.1097/cm9.0000000000003575
摘要
Our developed models achieved satisfactory results in predicting the growth of ovarian cancer organoids. There is potential for further development of the model toward process automation.
科研通智能强力驱动
Strongly Powered by AbleSci AI