Xiaoming Xiong

Huazhong University of Science and Technology - Cancer Biology Research Center

Wuhan

China

SCHOLARLY PAPERS

2

DOWNLOADS

141

TOTAL CITATIONS

1

Scholarly Papers (2)

1.

Platelet RNA Signature Enables Early and Accurate Detection of Ovarian Cancer: An Intercontinental, Biomarker Identification Study

Number of pages: 28 Posted: 22 Sep 2021
Huazhong University of Science and Technology - Department of Obstetrics and Gynecology, Huazhong University of Science and Technology, Huazhong University of Science and Technology - Cancer Biology Research Center, Amsterdam University Medical Centre, University of Amsterdam - Department of Neurosurgery, Huazhong University of Science and Technology - Cancer Centre, Huazhong University of Science and Technology - Department of Obstetrics and Gynecology, Huazhong University of Science and Technology - Department of Gynecologic Oncology, Huazhong University of Science and Technology - Department of Gynecologic Oncology, Huazhong University of Science and Technology - Centre for Artificial Intelligence Biology, Huazhong University of Science and Technology - Department of Obstetrics and Gynecology, Huazhong University of Science and Technology - Department of Obstetrics and Gynecology, Huazhong University of Science and Technology - Cancer Biology Research Center, Huazhong University of Science and Technology - Centre for Artificial Intelligence Biology, Huazhong University of Science and Technology - Cancer Biology Research Center, Huazhong University of Science and Technology - Cancer Centre, Huazhong University of Science and Technology - Department of Obstetrics and Gynecology, Zhejiang University - Department of Gynecologic Oncology, Shandong University - Department of Obstetrics and Gynecology, Catharina Hospital, Leiden University Medical Centre - Department of Obstetrics and Gynaecology, Medical University of Gdańsk - Department of Oncology and Radiotherapy, Harvard University - Department of Neurology, Medical University of Gdańsk, Medical University of Gdańsk - Department of Oncology and Radiotherapy, Medical University of Gdańsk - Laboratory of Translational Oncology, Medical University of Gdańsk - Department of Oncology and Radiotherapy, Massachusetts General Hospital - Experimental Therapeutics and Molecular Imaging Laboratory, Amsterdam University Medical Centre, University of Amsterdam - Department of Neurosurgery, Amsterdam University Medical Centre, University of Amsterdam - Department of Neurosurgery, Amsterdam University Medical Centre, University of Amsterdam - Department of Neurosurgery, Shandong University - Department of Obstetrics and Gynecology, Zhejiang University - Women’s Hospital, Huazhong University of Science and Technology (Formerly Tongi Medical University) - National Clinical Research Center for Gynecology and Obstetrics, University of Amsterdam - Department of Neurosurgery, Huazhong University of Science and Technology - Centre for Artificial Intelligence Biology and Huazhong University of Science and Technology - Cancer Biology Research Center
Downloads 93 (613,438)

Abstract:

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ovarian cancer, latelet RNA profile, diagnostic biomarker, early detection

2.

Development and Validation of a Machine Learning Model for Prediction of Response to Corticosteroid Therapy In COVID-19 Patients

Number of pages: 21 Posted: 26 Apr 2021
Huazhong University of Science and Technology - Cancer Biology Research Center, Huazhong University of Science and Technology - Cancer Biology Research Center, Huazhong University of Science and Technology - Cancer Biology Research Center, Huazhong University of Science and Technology - Cancer Biology Research Center, Huazhong University of Science and Technology - Cancer Biology Research Center, City University of Hong Kong (CityU) - Department of Computer Science, City University of Hong Kong (CityU) - Department of Computer Science and Huazhong University of Science and Technology - Cancer Biology Research Center
Downloads 48 (878,120)
Citation 1

Abstract:

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COVID-19, Corticosteroid, Machine learning, Lymphocyte percent, C reactive protein