Ping Dai | Cancer Therapy | Best Researcher Award

Dr. Ping Dai | Cancer Therapy | Best Researcher Award

Tongji University | China

AUTHOR PROFILE

SCOPUS ID

🏥DR. PING DAI: ACADEMIC AND PROFESSIONAL PROFILE

🎓EARLY ACADEMIC PURSUITS

Dr. Ping Dai’s journey in medicine began with a Diploma of Higher Education in Clinical Medicine from Harbin University, followed by a Bachelor’s degree at Qiqihar Medical University. She excelled further with an Outstanding Master’s Degree in Oncology from Shihezi University, and culminated her academic path with a Doctorate in Molecular Radiation Oncology (Dr. Med, Magna Cum Laude) from the prestigious Heidelberg University in Germany—underscoring a profound commitment to academic excellence and clinical innovation.

🩺PROFESSIONAL ENDEAVORS

With over a decade of clinical and research experience, Dr. Dai currently serves as Assistant Director at the Shanghai Fourth People’s Hospital Affiliated to Tongji University. Her career spans multiple critical roles—oncologist, clinical researcher, and international doctoral candidate at the German Cancer Research Centre (DKFZ)—fusing global perspectives with localized healthcare innovation.

🔬CONTRIBUTIONS AND RESEARCH FOCUS ON BIOMARKERS  IN CANCER THERAPY

Dr. Dai’s research centers on radiation oncology, immunotherapy-related thyroid dysfunction, and tumor treating fields (TTFields). Notably, her recent studies explore PD-1/PD-L1 inhibitor-induced thyroid dysfunction as a biomarker for efficacy in advanced lung cancer therapy, published in BMC Cancer and Heliyon. She also leads groundbreaking simulation research on electrodynamic tumor interactions, merging clinical oncology with bioengineering insight.

🌍IMPACT AND INFLUENCE

Dr. Dai’s cross-continental experience—from China to Germany—bridges Eastern and Western oncology practices. Her insights contribute to both clinical protocol improvements and space-radiation biology, collaborating with institutions such as the European Space Agency and Heidelberg Ion Beam Therapy Center. She plays a vital role in shaping translational cancer science and space medicine.

🏆ACADEMIC CITES, ACCOLADES AND RECOGNITION

  • Lead or corresponding author in high-impact journals: Cancer Letters (IF 9.7), APL Bioengineering (IF 6.6), and Frontiers in Oncology.

  • Honored with Outstanding Master’s Graduate award.

  • Latin honors “Magna Cum Laude” for doctoral studies in Germany.

  • Recognized as equal-first author and corresponding author in multiple prestigious publications.

🏆LEGACY AND FUTURE CONTRIBUTIONS

Dr. Dai is establishing a legacy of translational research at the intersection of radiation therapy, immunology, and biomarker discovery. Her future pursuits aim to:

  • Advance predictive markers for immunotherapy outcomes.

  • Explore MSC-based interventions against radiation-induced myelotoxicity.

  • Lead multinational clinical collaborations in cancer therapy and space radiation countermeasures.

🧬CONCLUSION

Dr. Ping Dai is an emerging force in molecular oncology and translational medicine. With a rich academic foundation, strong clinical acumen, and a forward-thinking research vision, she is contributing impactful solutions to global oncology and radiobiology challenges.

📊🔬NOTABLE PUBLICATION:

Thyroid dysfunction as a predictor of PD-1/PD-L1 inhibitor efficacy in advanced lung cancer

Authors: Yanling Wang, Xiaoping Ma, Jia Ma, Jing Li, Zhiyi Lin, Wei Gao, Ping Gong, Ping Dai
Journal: BMC Cancer
Year: 2025

Comprehensive Simulations of Intracellular Electric Fields during Exposure to Tumor Treating Fields (TTFields)

Authors: Kaida Liu, Ping Dai, Zirong Liu, Haohan Fang, Xing Li, Wei Gao
Journal: Frontiers in Oncology
Year: 2025 (Accepted)

Electrodynamic Interaction between Tumor Treating Fields and Microtubule Electrophysiological Activities

Authors: Xing Li, Kaida Liu, Haohan Fang, Zirong Liu, Yuchen Tang, Ping Dai
Journal: APL Bioengineering
Year: 2024

A theoretical study on evaluating brain tumor changes in tumor treating fields therapy by impedance detection

Authors: Xing Li, Kaida Liu, Haohan Fang, Rongzi Liu, Wei Gao, Ping Dai
Journal: Frontiers in Oncology
Year: 2024

Dong Zhu | Organ-Defined Cancers | Best Researcher Award

Dong Zhu | Organ-Defined Cancers | Best Researcher Award

临沂大学 | China

AUTHOR PROFILE

SCOPUS ID

🏥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