Xinli Shi | Tumor | Best Researcher Award

Ms. Xinli Shi | Tumor | Best Researcher Award

Shanxi University of Chinese Medicine | China

AUTHOR PROFILE

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🏥MS. XINLI SHI: ACADEMIC AND PROFESSIONAL PROFILE

🎓EARLY ACADEMIC PURSUITS

Ms. Xinli Shi, a Chinese national, began her academic journey with a B.Sc. in Biochemistry from the Department of Bioengineering at Hebei University of Science and Technology (1996–2001). She deepened her expertise in immunological mechanisms with an M.Sc. in Medical Immunology (2003–2007) from Hebei Medical University, followed by a Ph.D. in Immunology (2011–2014) from the West China College of Basic Medicine and Forensic Medicine, Sichuan University—one of China’s top-tier medical schools.

🩺PROFESSIONAL ENDEAVORS

Prof. Shi’s academic career spans over two decades, reflecting progressive growth:

  • 2001–2013: She served at Hebei Medical University as a Teaching Assistant and then Lecturer, establishing foundational teaching experience.

  • 2013–2018: Appointed Associate Professor and Master’s Supervisor at the School of Basic Medicine, Hebei University of Chinese Medicine.

  • 2015–2017: Completed a Postdoctoral Fellowship at the Bethune International Peace Hospital, affiliated with the Third Military Medical University, focusing on advanced clinical research.

  • 2018–2023: Promoted to Professor and Doctoral Supervisor at Hebei University of Chinese Medicine.

  • 2023–Present: Serving as Professor and Doctoral/Master Supervisor at the Experimental Management Center, Shanxi University of Chinese Medicine.

🔬CONTRIBUTIONS AND RESEARCH FOCUS ON TUMOR

Prof. Shi has made notable contributions in the field of tumor immunology, particularly within the tumor microenvironment, focusing on:

  • Autophagy

  • Drug Resistance

  • Restenosis

  • Inflammation-induced tumorigenesis

Her research explores how immune signaling and cellular stress responses shape tumor progression and therapeutic resistance, offering novel targets for immunomodulatory and chemotherapeutic interventions.

She has guided:

  • 3 Ph.D. students

  • 20+ M.D. students

  • Supervised postdoctoral fellows, actively fostering academic development and translational medicine research.

🌍IMPACT AND INFLUENCE

Prof. Shi’s work is highly regarded in both Western medicine and Traditional Chinese Medicine (TCM) circles. Her interdisciplinary approach integrates modern immunology with TCM principles, enabling translational applications in cancer and chronic disease therapy. She has been part of numerous provincial and national talent programs, contributing to science policy and medical education reform.

🏆RESEARCH GRANTS AND FUNDING

Prof. Shi has led 14 research projects, funded by prestigious national and provincial bodies. These include:

  • 2 National Natural Science Foundation of China (NSFC) grants (No. 81873112 & 82274315)

  • China Postdoctoral Science Foundation

  • Hebei Natural Science Foundation (multiple years)

  • Shanxi Science and Technology Department

  • Shanxi Provincial Administration of Traditional Chinese Medicine Innovation Team

🔹 Total grant portfolio spans over a decade, supporting basic, translational, and clinical research initiatives.

🏆LEGACY AND FUTURE CONTRIBUTIONS

Prof. Shi’s career exemplifies academic excellence, clinical relevance, and mentorship. With growing involvement in Shanxi’s TCM innovation programs, she is positioned to pioneer integrative oncology in China—blending evidence-based traditional practices with cutting-edge immunotherapy research. Her future directions include:

  • Building innovation teams

  • Leading multi-center translational studies

  • Expanding doctoral and postdoctoral programs

  • Enhancing international collaborations in cancer research

🧬CONCLUSION

Prof. Xinli Shi stands at the confluence of biochemistry, medical immunology, and TCM oncology, with over 20 years of academic and clinical experience. Her dedication to tumor biology, immune modulation, and interdisciplinary research continues to shape the landscape of cancer therapeutics in China. As a mentor, scholar, and innovator, she contributes profoundly to the development of next-generation scientists and the advancement of personalized medicine.

📊🔬NOTABLE PUBLICATION:

RalB promotes lymph node metastasis in tongue squamous cell carcinoma

Authors: Y. Zhang, Yuman; Z. Liu, Zhihan; Y. Yang, Yanguang; L. Jia, Lifeng; X. Shi, Xinli
Journal: Genes and Genomics
Year: 2025

Human umbilical cord mesenchymal stem cells promoted tumor cell growth associated with increased interleukin-18 in hepatocellular carcinoma

Authors: Y. Yang, Yanguang; S. Li, Shenghao; Q. Peng, Qing; Y. Zhang, Yuman; X. Shi, Xinli
Journal: Molecular Biology Reports
Year: 2024

Recent advances in graphitic carbon nitride-based heterojunction for biomedical applications

Authors: R. Jia, Ruilong; C. He, Cheng’en; S. Wang, Shanshan; G. Liao, Guangfu; X. Shi, Xinli
Citations: 3

Dong Zhu | Organ-Defined Cancers | Best Researcher Award

Dong Zhu | Organ-Defined Cancers | Best Researcher Award

临沂大学 | China

AUTHOR PROFILE

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🏥MR. DONG ZHU: ACADEMIC AND PROFESSIONAL PROFILE

🎓EARLY ACADEMIC PURSUITS

Born in May 1999 in Zaozhuang, Shandong Province, China, Mr. Zhu Dong displayed an early aptitude for analytical thinking and computing. He embarked on his academic journey at Linyi University, earning a Bachelor of Engineering in Computer Science and Technology (2020–2022). Recognized for his diligence and academic excellence, he was admitted into the university’s graduate program, where he is currently pursuing a Master of Engineering in Computer Technology (2022–2025).

🩺PROFESSIONAL ENDEAVORS

While still a graduate student, Mr. Zhu has already made substantial strides in the field of medical image processing. He has co-developed advanced deep learning frameworks tailored to complex clinical imaging tasks, such as 3D liver segmentation and breast tumor analysis. His participation in collaborative and interdisciplinary projects reflects a forward-looking and adaptable research mindset.

🔬CONTRIBUTIONS AND RESEARCH FOCUS

Mr. Zhu’s primary research focus is on deep learning applications in medical image segmentation, with specific interests in:

  • 3D U-Net architectures
  • Attention mechanisms
  • Multi-scale feature fusion
  • Electrocardiogram (ECG) signal classification

🏆AWARDS AND HONOURS

  • National Scholarship, 2023–2024
  • First-Class Academic Scholarship, 2022–2023 & 2023–2024
  • Outstanding Communist Youth League Cadre, 2023–2024
  • Excellent Student Award, 2023–2024
  • Advanced Individual Award, 2023–2024

🌍IMPACT AND INFLUENCE

Though early in his career, Mr. Zhu’s models are contributing to more accurate, automated diagnosis systems in clinical imaging. His open-access publications and conference proceedings are cited in discussions around deep learning for medical applications, particularly in liver and breast imaging workflows. His interdisciplinary work is fostering stronger links between AI and clinical diagnostics.

🏆LEGACY AND FUTURE CONTRIBUTIONS

With a growing portfolio of first-author publications, Mr. Zhu is establishing himself as a rising researcher in AI-driven medical imaging. His focus on practical, clinically relevant problems positions him to contribute significantly to next-generation diagnostic technologies. In the coming years, he aims to expand his research to include multimodal imaging analysis, federated learning, and real-time diagnostic systems for point-of-care settings.

🧬CONCLUSION

Mr. Zhu Dong represents a new wave of interdisciplinary researchers who blend deep learning techniques with clinical needs. His trajectory reflects not only strong technical skills but also a deep commitment to improving healthcare through innovation. With continued support, mentorship, and exposure to global research networks, he is well-poised to lead breakthroughs in intelligent medical diagnostics.

 

📊🔬NOTABLE PUBLICATION:

3DMAU-Net: Liver Segmentation Network Based on 3D U-Net

Authors: Zhu, Dong; Ma, Tianyi; Yang, Mengzhu; Hu, Shunbo; Wang, Yongfang
Journal: Optoelectronics Letters
Year: 2025