R. Li

ORCID: 0009-0003-3477-5197
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About
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Research Areas
  • Lung Cancer Treatments and Mutations
  • Lung Cancer Diagnosis and Treatment
  • Radiomics and Machine Learning in Medical Imaging
  • Prostate Cancer Treatment and Research
  • Medical Imaging Techniques and Applications
  • Advanced Radiotherapy Techniques
  • Radiopharmaceutical Chemistry and Applications
  • Colorectal and Anal Carcinomas
  • Cholangiocarcinoma and Gallbladder Cancer Studies
  • Endometrial and Cervical Cancer Treatments
  • Childhood Cancer Survivors' Quality of Life
  • Biomedical Text Mining and Ontologies
  • Thermoregulation and physiological responses
  • Sarcoma Diagnosis and Treatment
  • Lung Cancer Research Studies
  • Machine Learning in Healthcare
  • Artificial Intelligence in Healthcare and Education
  • Statistical Methods in Clinical Trials
  • RNA modifications and cancer
  • Climate Change and Health Impacts
  • Pharmacy and Medical Practices
  • Cervical Cancer and HPV Research
  • Palliative Care and End-of-Life Issues
  • Misinformation and Its Impacts
  • Brain Metastases and Treatment

Weifang Medical University
2024-2025

Shandong Tumor Hospital
2024-2025

Shandong First Medical University
2024-2025

Ningxia Medical University General Hospital
2025

Ningxia Medical University
2025

City Of Hope National Medical Center
2018-2023

Purpose To examine the association between circadian syndrome (CircS) and instrumental activities of daily living (IADL) disability in middle-aged older adults with diabetes, as well moderating effect age on CircS IADL disability. Method Participants included 939 individuals diabetes. was defined having trouble finishing specific tasks. four or more symptoms. Binary logistic regression analysis used to associations among CircS, age, Results Of total participants, 29.3% had were associated...

10.3928/00989134-20250218-05 article EN Journal of Gerontological Nursing 2025-02-25

Whether patients with advanced non-small cell lung cancer (NSCLC) who experience progressive disease (PD) after the initial immunotherapy treatment benefit from subsequent remains unclear. In this study, we aimed to identify predictive factors and develop a nomogram predict successful rechallenge for such NSCLC guide clinical improve prognosis. Between January 2019 December 2022, 352 received experiencing PD were divided into training (n=246) validation (n=106) cohorts. Clinicopathological...

10.21037/tlcr-24-876 article EN Translational Lung Cancer Research 2025-03-01

The treatment of ovarian cancer is hindered by its insidious onset and rapid progression. Exosomes (EXOs) present a promising therapeutic strategy for modulating the tumor microenvironment. However, concerns regarding biosafety animal-derived EXOs pose significant challenges to development innovative formulations. In this study, we propose universal engineer plant-derived as microenvironment nanoregulators targeted therapy. derived from ginger were purified, loaded with natural bioactive...

10.3389/fphar.2025.1584463 article EN cc-by Frontiers in Pharmacology 2025-03-27

Patients with stage IA lung adenocarcinoma (ADC) an micropapillary (MIP) component are at a higher risk of recurrence after radical surgical resection; however, adding adjuvant chemotherapy (ACT) to their postoperative course remains controversial. This study determined the predictive factors that influence prognosis these patients and identified those high recurrence.

10.21037/tlcr-24-544 article EN Translational Lung Cancer Research 2024-10-01

The diagnosis and monitoring of Castrate Resistant Prostate Cancer (CRPC) are crucial for cancer patients, but the current models (such as P-NET) have limitations in terms parameter count, generalization, cost. To address issue, we develop a more accurate efficient patient condition prediction model, named PR-NET. By compressing optimizing network structure P-NET, model complexity is reduced while maintaining high accuracy interpretability. PR-NET demonstrated superior performance predicting...

10.48550/arxiv.2403.05818 preprint EN arXiv (Cornell University) 2024-03-09

To improve the reform effect of mental health education model in higher vocational colleges, this paper combines big data technology to analyze colleges.It applies echo state network colleges' model.This focuses on "theme teaching + classroom assessment" determine content and emphasizes diversified assessment methods.Moreover, using psychological sitcoms as carrier, relies intelligent learning platform organically integrate online offline teaching.In addition, constructs a mode for...

10.14733/cadaps.2024.s24.226-237 article EN Computer-Aided Design and Applications 2024-03-27
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