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

Development and Validation of an Interpretable Machine Learning Model for Predicting Tumor Recurrence After Microwave Ablation in Small Hepatocellular Carcinoma

开发和验证一种可解释的机器学习模型,用于预测微波消融治疗小肝细胞癌后的肿瘤复发

Ma, Yongfen; Zhao, Lei; Zhao, Qing

Safety, Pharmacokinetics and Target Engagement of a Novel Brain Penetrant RIPK1 Inhibitor (SIR9900) in Healthy Adults and Elderly Participants

新型脑穿透性RIPK1抑制剂(SIR9900)在健康成人和老年受试者中的安全性、药代动力学和靶点结合情况

Gonen, Ofer Michael; Porter, Tim; Wang, Buwei; Xue, Fenchao; Ma, Yongfen; Song, Linan; Sun, Pei; Fan, Weiliang; Shen, Yang

Prognostic value and immune infiltration of novel markers TNRC6C/AMPD1 in pancreatic cancer microenvironment.

胰腺癌微环境中新型标志物TNRC6C/AMPD1的预后价值和免疫浸润

Lan Yongting, Du Wenyan, Ma Yongfen, Cao Jingmei

Accurate prediction of K(p,uu,brain) based on experimental measurement of K(p,brain) and computed physicochemical properties of candidate compounds in CNS drug discovery

基于中枢神经系统药物研发中候选化合物的K(p,uu,brain)的实验测量值和计算的理化性质,对K(p,uu,brain)进行精确预测

Ma, Yongfen; Jiang, Mengrong; Javeria, Huma; Tian, Dingwei; Du, Zhenxia

A phase I randomized study to evaluate safety, pharmacokinetics, and pharmacodynamics of SIR2446M, a selective RIPK1 inhibitor, in healthy participants

一项 I 期随机研究,旨在评估选择性 RIPK1 抑制剂 SIR2446M 在健康受试者中的安全性、药代动力学和药效学。

Sun, Ana Liza Andresan; Gillies, John David; Shen, Yang; Deng, Huajun; Xue, Fenchao; Ma, Yongfen; Song, Linan

Comprehensive analysis of peroxisome proliferator-activated receptors to predict the drug resistance, immune microenvironment, and prognosis in stomach adenocarcinomas.

综合分析过氧化物酶体增殖物激活受体,以预测胃腺癌的耐药性、免疫微环境和预后

Jia Qing, Li Baozhen, Wang Xiulian, Ma Yongfen, Li Gaozhong