Omar Alqaisi | Skin Cancer | Best Researcher Award

Mr. Omar Alqaisi | Skin Cancer | Best Researcher Award

Al-Zaytoonah University of Jordan | Jordan

Dr. Omar M. Alqaisi is a dedicated academic and researcher at Al-Zaytoonah University of Jordan whose scholarly contributions reflect a strong commitment to advancing healthcare through evidence-based nursing practice and oncology research. With 11 published documents, 46 citations, and an h-index of 3, his work demonstrates a consistent trajectory of academic growth and increasing impact in the fields of clinical nursing, psycho-oncology, and patient-centered care. His notable publication, “A Narrative Review of the Roles of Nursing in Addressing Sexual Dysfunction in Oncology Patients,” underscores his focus on addressing sensitive and underexplored areas of oncology, particularly the psychosocial and emotional well-being of cancer patients, while emphasizing the indispensable role of nurses in holistic recovery and improving quality of life. A hallmark of his career is his emphasis on interdisciplinary collaboration, evidenced by co-authorship with more than 100 researchers across multiple disciplines, reflecting his ability to foster teamwork and integrate diverse perspectives to address complex healthcare challenges. His research is characterized by analytical precision, ethical grounding, and a human-centered approach, aligning with global healthcare trends that prioritize compassion, inclusivity, and evidence-based interventions. Beyond individual studies, Dr. Alqaisi’s work contributes to the broader advancement of nursing education, clinical practice, and patient advocacy in oncology. His growing academic influence positions him as an emerging leader within regional and international research communities. With continued development in empirical methodologies, digital health innovations, and cross-cultural healthcare models, he is poised to expand his contributions to global nursing and oncology discourse. Dr. Alqaisi’s research not only advances academic understanding but also creates meaningful societal impact by emphasizing empathy, communication, and the integration of psychosocial care into clinical frameworks, exemplifying a new generation of scholars committed to bridging scientific innovation with humanistic healthcare practice.

Profiles: Scopus | ORCID | ResearchGate

Featured Publications

1. Tai, P., Alqaisi, O., Al-Ghabeesh, S., Sijarina, L., Yu, E., Thachuthara, A. J., Assouline, A., Souied, O., Hagel, K., & Joseph, K. (2025, October 9). Immune checkpoint inhibitors in Merkel cell carcinoma of the skin: A 2025 comprehensive review. Cancers, 17(19), 3272.

2. Alqaisi, O., Al-Ghabeesh, S., Tai, P., Wong, K., Joseph, K., & Yu, E. (2025, August 14). A narrative review of the roles of nursing in addressing sexual dysfunction in oncology patients. Current Oncology, 32(8), 457.

3. Tai, P., Alqaisi, O., Al-Ghabeesh, S., Sijarina, L., Yu, E., Thachuthara, A. J., Assouline, A., Souied, O., Hagel, K., & Joseph, K. (2025, July 25). Immunotherapy in Merkel cell carcinoma of the skin: A 2025 comprehensive review. Preprints, 202507.2063.v1.

4. Alqaisi, O., Subih, M., Joseph, K., Yu, E., & Tai, P. (2025, June). Oncology nurses’ attitudes, knowledge, and practices in providing sexuality care to cancer patients: A scoping review. Current Oncology, 32(6), 337.

5. Alqaisi, O. M., & Al-Ghabeesh, S. (2024, July 31). Quality of postoperative pain management in orthopedic patients and its impact on sleep quality and patient satisfaction: An integrative review. Cureus, 16(7), e65872.

Dr. Omar M. Alqaisi’s research advances the integration of compassionate, evidence-based nursing within oncology care, addressing both clinical and psychosocial patient needs. His work strengthens global healthcare practices by promoting interdisciplinary collaboration, enhancing patient quality of life, and shaping innovative models for holistic, human-centered medical care.

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