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

GenAI synthesis of histopathological images from Raman imaging for intraoperative tongue squamous cell carcinoma assessment

GenAI技术利用拉曼成像技术合成组织病理图像,用于术中舌鳞状细胞癌评估

Yan, Bing; Wen, Zhining; Xue, Lili; Wang, Tianyi; Liu, Zhichao; Long, Wulin; Li, Yi; Jing, Runyu

A Transfer Learning Framework for Predicting and Interpreting Drug Responses via Single-Cell RNA-Seq Data

基于单细胞RNA测序数据的药物反应预测与解释迁移学习框架

He, Yujie; Li, Shenghao; Lan, Hao; Long, Wulin; Zhai, Shengqiu; Li, Menglong; Wen, Zhining

ToxBERT: an explainable AI framework for enhancing prediction of adverse drug reactions and structural insights

ToxBERT:一个可解释的人工智能框架,用于增强对药物不良反应的预测和结构洞察

He, Yujie; Lv, Xiang; Long, Wulin; Zhai, Shengqiu; Li, Menglong; Wen, Zhining

Unraveling Structural Alerts in Marketed Drugs for Improving Adverse Outcome Pathway Framework of Drug-Induced QT Prolongation

揭示上市药物中的结构性警示信号,以改善药物诱发QT间期延长的不良结局通路框架

Long, Wulin; Li, Shihai; He, Yujie; Lin, Jinzhu; Li, Menglong; Wen, Zhining

Differentiation of epilepsy and psychogenic nonepileptic events based on body fluid characteristics

基于体液特征区分癫痫和心因性非癫痫事件

Xia, Yilin; Lai, Wanlin; Li, Shihai; Wen, Zhining; Chen, Lei

Raman Spectroscopy: A Potential Diagnostic Tool for Oral Diseases

拉曼光谱:一种潜在的口腔疾病诊断工具

Zhang, Yuwei; Ren, Liang; Wang, Qi; Wen, Zhining; Liu, Chengcheng; Ding, Yi

Structure-Activity Relationship (SAR) Model for Predicting Teratogenic Risk of Antiseizure Medications in Pregnancy by Using Support Vector Machine

利用支持向量机构建抗癫痫药物在妊娠期致畸风险的结构-活性关系(SAR)模型

Kang, Liyuan; Duan, Yifei; Chen, Cheng; Li, Shihai; Li, Menglong; Chen, Lei; Wen, Zhining

Comprehensive Risk Assessment of Applying Biogas Slurry in Peanut Cultivation

沼液在花生种植中应用的综合风险评估

Liu, Qingyu; Zhao, Zixuan; Xue, Zhiping; Li, Ding; Wen, Zhining; Ran, Yi; Mei, Zili; He, Li

Comparative Analysis for the Performance of Long-Read-Based Structural Variation Detection Pipelines in Tandem Repeat Regions

长读长结构变异检测流程在串联重复区域性能的比较分析

Guo, Mingkun; Li, Shihai; Zhou, Yifan; Li, Menglong; Wen, Zhining

Prediction of Synergistic Drug Combinations for Prostate Cancer by Transcriptomic and Network Characteristics.

通过转录组学和网络特征预测前列腺癌的协同药物组合

Li Shiqi, Zhang Fuhui, Xiao Xiuchan, Guo Yanzhi, Wen Zhining, Li Menglong, Pu Xuemei