日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Preparation and characterization of Ru-TiO(2)/PC/Fe(3)O(4) composite catalyst with enhanced photocatalytic performance and magnetic recoverability under simulated solar light

制备并表征了Ru-TiO₂/PC/Fe₃O₄复合催化剂,该催化剂在模拟太阳光照射下具有增强的光催化性能和磁性可回收性。

Wu, Ruixiang; Zhang, Hanyan; Liu, Wenhua; Bai, Renao; Zheng, Delun; Tian, Xiufang; Lin, Weikai; Li, Lejian; Ke, Qianwei

Multiple machine learning algorithms identify 13 types of cell death-critical genes in large and multiple non-alcoholic steatohepatitis cohorts

多种机器学习算法在大规模、多组非酒精性脂肪性肝炎患者队列中识别出13种细胞死亡关键基因。

Jiang, Renao; Dai, Longfei; Xu, Xinjian; Zhang, Zhen

3D pathology-guided microdissection

三维病理引导显微切割

Hsieh, Huai-Ching; Gao, Gan; Han, Qinghua; Brenes, David; Baraznenok, Elena; Yan, Renao; Serafin, Robert; Bishop, Kevin W; Wang, Rui; Konnick, Eric Q; Pritchard, Colin C; Figiel, Sandy; Hamdy, Freddie C; Mills, Ian G; Reder, Nicholas P; Reddi, Deepti M; Paulson, Thomas G; Grady, William M; Valk, Jacob E; True, Lawrence D; Haffner, Michael C; Rao, Srinivasa R; Woodcock, Dan J; Liu, Jonathan T C

Deep-learning triage of 3D pathology datasets for comprehensive and efficient pathologist assessments

利用深度学习对3D病理数据集进行分诊,以实现全面高效的病理学家评估

Gao, Gan; Yan, Renao; Song, Andrew H; Hsieh, Huai-Ching; Barner, Lindsey A Erion; Wang, Fiona; Brenes, David; Chow, Sarah S L; Wang, Rui; Bishop, Kevin W; Liu, Yongjun; Farre, Xavier; Divatia, Mukul; Downes, Michelle R; Vakar-Lopez, Funda; Lal, Priti; Burke, Wynn; Madabhushi, Anant; True, Lawrence D; Reddi, Deepti M; Grady, William M; Mahmood, Faisal; Liu, Jonathan T C

Enhanced photocatalytic activity of porous TiO(2) containing C/P/K derived from grapefruit peel

柚子皮衍生的含C/P/K的多孔TiO₂的光催化活性增强

Wu, Ruixiang; Liu, Wenhua; Bai, Renao; Tian, Xiufang; Lin, Weikai; Li, Lejian; Ke, Qianwei

Waste Biomass-Mediated Synthesis of TiO(2)/P, K-Containing Grapefruit Peel Biochar Composites with Enhanced Photocatalytic Activity

利用废弃生物质介导合成含TiO₂/P、K的葡萄柚皮生物炭复合材料及其增强的光催化活性

Wu, Ruixiang; Liu, Wenhua; Bai, Renao; Zheng, Delun; Tian, Xiufang; Lin, Weikai; Ke, Qianwei; Li, Lejian

Machine learning-based algorithm identifies key mitochondria-related genes in non-alcoholic steatohepatitis

基于机器学习的算法识别非酒精性脂肪性肝炎中的关键线粒体相关基因

Dai, Longfei; Jiang, Renao; Zhan, Zhicheng; Zhang, Liangliang; Qian, Yuyang; Xu, Xinjian; Yang, Wenqi; Zhang, Zhen

Machine learning-based integration identifies the ferroptosis hub genes in nonalcoholic steatohepatitis

基于机器学习的整合方法识别非酒精性脂肪性肝炎中的铁死亡枢纽基因

Dai, Longfei; Yuan, Wenkang; Jiang, Renao; Zhan, Zhicheng; Zhang, Liangliang; Xu, Xinjian; Qian, Yuyang; Yang, Wenqi; Zhang, Zhen

A deep learning method for predicting the origins of cervical lymph node metastatic cancer on digital pathological images

一种基于深度学习的预测数字病理图像中颈部淋巴结转移癌起源的方法

Zheng, Runliang; Wang, Xuenian; Zhu, Lianghui; Yan, Renao; Li, Jiawen; Wei, Yani; Zhang, Fenfen; Du, Hong; Guo, Linlang; He, Yonghong; Shi, Huijuan; Han, Anjia

An accurate prediction of the origin for bone metastatic cancer using deep learning on digital pathological images.

利用深度学习技术对数字病理图像进行分析,准确预测骨转移癌的起源

Zhu Lianghui, Shi Huijuan, Wei Huiting, Wang Chengjiang, Shi Shanshan, Zhang Fenfen, Yan Renao, Liu Yiqing, He Tingting, Wang Liyuan, Cheng Junru, Duan Hufei, Du Hong, Meng Fengjiao, Zhao Wenli, Gu Xia, Guo Linlang, Ni Yingpeng, He Yonghong, Guan Tian, Han Anjia