Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Yilun Li

Showing results (1-10 of 75) with videos related to

Pageof 8
Sort By:
BMC Cancer|August 29, 2021
Nomograms predict survival of patients with lymph node-positive, luminal a breast cancerYilun Li, Li Ma
Nature Communications|May 4, 2024
A statistical resolution measure of fluorescence microscopy with finite photonsYilun Li, Fang Huang
Frontiers in Oncology|November 7, 2022
Relationship between telomere length and the prognosis of breast cancer based on estrogen receptor status: A Mendelian randomization studyYilun Li, Li Ma
Medicine|November 7, 2020
Exposure to solar ultraviolet radiation and breast cancer risk: A dose-response meta-analysisYilun Li, Li Ma
Annals of Palliative Medicine|April 9, 2021
The association between coffee intake and breast cancer risk: a meta-analysis and dose-response analysis using recent evidenceYilun Li, Li Ma
World Journal of Surgical Oncology|December 3, 2020
Efficacy of chemotherapy for lymph node-positive luminal A subtype breast cancer patients: an updated meta-analysisYilun Li, Li Ma
BMC Cancer|November 29, 2024
Prognostic prediction for HER2-low breast cancer patients using a novel machine learning modelYilun Li, Xiaolu Yang, Li Ma
Frontiers in Oncology|November 7, 2022
ERCC1 is a potential biomarker for predicting prognosis, immunotherapy, chemotherapy efficacy, and expression validation in HER2 over-expressing breast cancerYilun Li, Xiaomei Liao, Li Ma
Frontiers in Pharmacology|September 5, 2024
Comparative analysis of adverse event risks in breast cancer patients receiving pembrolizumab combined with paclitaxel <i>versus</i> paclitaxel monotherapy: insights from the FAERS databaseYilun Li, Xiaolu Yang, Li Ma
Biomedical Optics Express|January 7, 2021
Variance lower bound on fluorescence microscopy image denoisingYilun Li, Sheng Liu, Fang Huang
Pageof 8

Showing results (1-10 of 75) with videos related to

Sort By:
Pageof 8
BMC Cancer|August 29, 2021
Nomograms predict survival of patients with lymph node-positive, luminal a breast cancerYilun Li, Li Ma
Nature Communications|May 4, 2024
A statistical resolution measure of fluorescence microscopy with finite photonsYilun Li, Fang Huang
Frontiers in Oncology|November 7, 2022
Relationship between telomere length and the prognosis of breast cancer based on estrogen receptor status: A Mendelian randomization studyYilun Li, Li Ma
Medicine|November 7, 2020
Exposure to solar ultraviolet radiation and breast cancer risk: A dose-response meta-analysisYilun Li, Li Ma
Annals of Palliative Medicine|April 9, 2021
The association between coffee intake and breast cancer risk: a meta-analysis and dose-response analysis using recent evidenceYilun Li, Li Ma
World Journal of Surgical Oncology|December 3, 2020
Efficacy of chemotherapy for lymph node-positive luminal A subtype breast cancer patients: an updated meta-analysisYilun Li, Li Ma
BMC Cancer|November 29, 2024
Prognostic prediction for HER2-low breast cancer patients using a novel machine learning modelYilun Li, Xiaolu Yang, Li Ma
Frontiers in Oncology|November 7, 2022
ERCC1 is a potential biomarker for predicting prognosis, immunotherapy, chemotherapy efficacy, and expression validation in HER2 over-expressing breast cancerYilun Li, Xiaomei Liao, Li Ma
Frontiers in Pharmacology|September 5, 2024
Comparative analysis of adverse event risks in breast cancer patients receiving pembrolizumab combined with paclitaxel <i>versus</i> paclitaxel monotherapy: insights from the FAERS databaseYilun Li, Xiaolu Yang, Li Ma
Biomedical Optics Express|January 7, 2021
Variance lower bound on fluorescence microscopy image denoisingYilun Li, Sheng Liu, Fang Huang
Pageof 8