Shuxue Xi
Beijing, 100102, China
Last Updated: 09/26/2026
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Found 9 publications
Characterization of telomere-related gene subtypes in lung adenocarcinoma and their implications for prognosis and treatment.
Journal: Discover oncology
Published: February 06, 2026
A multi-task deep learning framework for simultaneous prediction of microsatellite instability and tumor mutational burden in gastric cancer from histopathological images.
Journal: Frontiers in oncology
Published: November 27, 2025
Prediction of microsatellite instability in colorectal cancer based on tissue phenotypes inferred from pathological whole slide images using self-distillation.
Journal: Pathology, research and practice
Published: July 02, 2025
Deep Learning Can Predict the Overall Survival of Cervical Cancer Based on Histopathological Image, Gene Mutation and Clinical Information.
Journal: IET systems biology
Published: December 12, 2024
Predicting the risk of relapsed or refractory in patients with diffuse large B-cell lymphoma via deep learning.
Journal: Frontiers in oncology
Published: August 14, 2024
ICSDA: a multi-modal deep learning model to predict breast cancer recurrence and metastasis risk by integrating pathological, clinical and gene expression data.
Journal: Briefings in bioinformatics
Published: March 23, 2022
Artificial Intelligence Systems for Diagnosis and Clinical Classification of COVID-19.
Journal: Frontiers in microbiology
Published: June 23, 2021
Fragment Enrichment of Circulating Tumor DNA With Low-Frequency Mutations.
Journal: Frontiers in genetics
Published: November 27, 2019
Showing 1-9 of 9
Last Updated: 09/26/2026