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上海药物研究所 [10]
复旦大学上海医学院 [9]
厦门大学 [7]
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A clinical study of a CD44v6-targeted fluorescent agent for the detection of non-muscle invasive bladder cancer
期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 页码: 13
作者:
Shang, Wenting
;
Peng, Li
;
He, Kunshan
;
Guo, Pengyu
;
Deng, Han
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2022/06/06
Bladder cancer
Near-infrared imaging
Peptide
Diagnosis
Endoscopy
An active-passive strategy for enhanced synergistic photothermal-ferroptosis therapy in the NIR-I/II biowindows
期刊论文
Biomaterials Science, 2022, 卷号: 10, 期号: 4, 页码: 1104-1112
作者:
F. X. Wu
;
H. R. Chen
;
R. Q. Liu
;
Y. K. Suo
;
Q. Q. Li
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2023/06/14
Silencing of the lncRNA H19 enhances sensitivity to X-ray and carbon-ions through the miR-130a-3p /WNK3 signaling axis in NSCLC cells
期刊论文
Cancer Cell International, 2021, 卷号: 21, 期号: 1, 页码: 12
作者:
Zhao,Xueshan
;
Jin,Xiaodong
;
Zhang,Qiuning
;
Liu,Ruifeng
;
Luo,Hongtao
收藏
  |  
浏览/下载:284/0
  |  
提交时间:2021/12/13
LncRNA H19
MiR-130a-3p
WNK3
Non-small-cell lung cancer
Radiotherapy
A five-dimensional data collection strategy for multicomponent discovery and characterization in Traditional Chinese Medicine: Gastrodia Rhizoma as a case study
期刊论文
JOURNAL OF CHROMATOGRAPHY A, 2021, 卷号: 1653, 页码: 12
作者:
Zhu, Haodong
;
Wu, Xingdong
;
Huo, Jiangyan
;
Hou, Jinjun
;
Long, Huali
收藏
  |  
浏览/下载:95/0
  |  
提交时间:2021/11/04
Gastrodia Rhizoma
Multidimensional data acquisition
Offline 2D-LC-IMS-DIA MS
MS
Neutral loss (NLs)
Collision cross section (CCS)
An enhanced strategy integrating offline two-dimensional separation with data independent acquisition mode and deconvolution: Characterization of metabolites of Uncaria rhynchophylla in rat plasma as a case
期刊论文
JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES, 2021, 卷号: 1181, 页码: 8
作者:
Li, Haojv
;
Wei, Wenlong
;
Li, Zhenwei
;
Wang, Mengyuan
;
Wei, Xuemei
收藏
  |  
浏览/下载:51/0
  |  
提交时间:2021/11/04
Off-line 2D separation system
Metabolites characterization in vivo
Data independent acquisition
Multi-dimensional deconvolution
Uncaria rhynchophylla
Insight into chemical basis of traditional Chinese medicine based on the state-of-the-art techniques of liquid chromatography-mass spectrometry
期刊论文
ACTA PHARMACEUTICA SINICA B, 2021, 卷号: 11, 期号: 6, 页码: 1469-1492
作者:
Yu, Yang
;
Yao, Changliang
;
Guo, De-an
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  |  
浏览/下载:41/0
  |  
提交时间:2021/08/17
Liquid chromatography-mass spectrometry
Qualitative analysis
Traditional Chinese medicine
Data acquisition
Data post-processing
Development of a nanobody-based immunoassay for the sensitive detection of fibrinogen-like protein 1
期刊论文
ACTA PHARMACOLOGICA SINICA, 2021, 页码: 9
作者:
Zhang, Wan-ting
;
Liu, Ting-ting
;
Wu, Man
;
Chen, Xiao-chen
;
Han, Li
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  |  
浏览/下载:53/0
  |  
提交时间:2021/05/24
nanobody
FGL1
cancer immunology
diagnosis
immune checkpoint
Clinical application of an automatic facial recognition system based on deep learning for diagnosis of Turner syndrome
期刊论文
ENDOCRINE, 2020, 页码: 9
作者:
Pan, Zhouxian
;
Shen, Zhen
;
Zhu, Huijuan
;
Bao, Yin
;
Liang, Siyu
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2021/01/06
Facial pattern recognition
Turner syndrome
Deep convolutional neural network
Prospective study
Online Transfer Learning for Differential Diagnosis of Benign and Malignant Thyroid Nodules With Ultrasound Images
期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 卷号: 67, 期号: 10, 页码: 2773-2780
作者:
Zhou, Hui
;
Wang, Kun
;
Tian, Jie
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2021/01/07
Cancer
Biological system modeling
Ultrasonic imaging
Feature extraction
Radiomics
Training
Deep learning
Diagnosis
online learning
radiomics
transfer learning
thyroid nodules
ultrasound images
Machine Learning-Based Radiomics Nomogram Using Magnetic Resonance Images for Prediction of Neoadjuvant Chemotherapy Efficacy in Breast Cancer Patients
期刊论文
FRONTIERS IN ONCOLOGY, 2020, 卷号: 10
作者:
Chen, Shujun
;
Shu, Zhenyu
;
Li, Yongfeng
;
Chen, Bo
;
Tang, Lirong
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2020/11/26
radiomics
nomogram
breast cancer
neoadjuvant chemotherapy
pathological complete response
machine learning
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