Hanchen Zhou | Medicine and Health Sciences | Best Researcher Award

Published on by Forensic Scientist

Mr. Hanchen Zhou | Medicine and Health Sciences | Best Researcher Award

Beijing Stomatological Hospital Affiliated to Capital Medical University | China

Hanchen Zhou, a graduate student at Beijing Stomatological Hospital, Capital Medical University, is an emerging researcher specializing in Oral and Maxillofacial-Head and Neck Oncology, with a primary focus on oral squamous cell carcinoma. He has already distinguished himself by publishing four SCI-indexed research papers that contribute valuable insights into the molecular mechanisms, clinical behavior, and potential treatment strategies for this aggressive malignancy. These publications, cited internationally, reflect his growing influence in oncology research and his ability to translate clinical challenges into innovative scientific solutions. Zhou is actively engaged in funded research projects, including the Innovation Foundation and the Clinical Research Incubation Project of Beijing Stomatological Hospital, demonstrating his capacity to design and execute impactful investigations. A member of the Chinese Stomatological Association, he actively participates in academic collaboration and professional development, strengthening his role within the wider scientific community. Despite being in the early stages of his career, Zhou has already showcased a strong commitment to advancing cancer research, particularly in bridging experimental findings with clinical applications. His work not only enhances the understanding of oral squamous cell carcinoma but also paves the way for improved diagnostic and therapeutic approaches. By integrating scientific rigor with a clear vision for innovation, he exemplifies the qualities of a promising researcher poised for long-term impact.

Profile: Scopus | ResearchGate

Featured Publications

  • Yu, H., Li, B., Huang, Y., & Zhang, X. (2025). Prognosis of second primary oral squamous cell carcinoma after hematologic malignancy: A retrospective cohort analysis. Frontiers in Oncology, 15, Article 1667226. https://doi.org/10.3389/fonc.2025.1667226

  • Zhou, H., Luo, C., Xu, Q., & Wang, C. (2025). Machine learning approach to predict surgical site infection in head and neck squamous cell carcinoma patients after free flap reconstruction. Journal of Cranio-Maxillofacial Surgery. Advance online publication. https://doi.org/10.1016/j.jcms.2025.09.010

  • Cheng, A., Wei, K., Xu, Q., & Wang, C. (2025). The comparison of the prognostic value of different inflammation-related indicators in patients with oral squamous cell carcinoma. Frontiers in Genetics, 16, Article 1652603. https://doi.org/10.3389/fgene.2025.1652603

  • Li, B., Zhao, Z., Huang, Y., & Zhou, H. (2025). The application of adjuvant radiotherapy in pN1 OSCC patients without adverse pathologic features. Oral Diseases, 31(1), e15336. https://doi.org/10.1111/odi.15336

Naila Camila da Rocha | Medicine and Health Sciences | Best Researcher Award

Published on by Forensic Scientist

Dr. Naila Camila da Rocha | Medicine and Health Sciences | Best Researcher Award

University of Wisconsin-Madison | United States

Dr. Naila Camila da Rocha is a distinguished researcher specializing in biostatistics, artificial intelligence in healthcare, and predictive analytics, with a strong focus on advancing precision medicine and healthcare delivery. She is completing her Ph.D. in Biometrics at São Paulo State University (UNESP) in collaboration with the University of Wisconsin–Madison, following a Master’s in Biometrics, a Professional Master’s in Applied Statistics, and a Bachelor’s in Administration. With over 14 years of experience in strategic planning, business intelligence, and applied statistics, she has held leadership roles including Head of Growth Strategy and Revenue at iFood, Data Science Manager at BRF, and currently works as a Data Scientist at Statbit, while also contributing as a volunteer researcher at the Clinics Hospital of Botucatu (LabData). Her research applies machine learning, natural language processing, and advanced statistical modeling to nephrology, transplantation, and chronic disease management, with impactful results such as predictive models for graft rejection, delayed graft function, and inequities in hemodialysis access. She has published more than 20 peer-reviewed papers in high-impact journals and received multiple prestigious awards, including the Massola Award (2025), AACD Summit Award (2025), Magaldi Award (2023), and Nestor Schor Award (2023). By successfully bridging data science with clinical applications, she has established herself as an influential voice in developing innovative tools for early diagnosis, risk stratification, and health system optimization, demonstrating excellence as a researcher whose work is shaping both academic knowledge and practical healthcare solutions.

Profile: Google Scholar | ORCID

Featured Publications

  • Beltramino, L., Bedacarratx, V., Roldán, P., González, N. A. M., … (2020). Aprendizajes y prácticas educativas en las actuales condiciones de época: COVID-19. Universidad Nacional de Córdoba, Facultad de Filosofía y Humanidades. Cited by: 33

  • Da Rocha, N. C., Barbosa, A. M. P., Schnr, Y. O., Machado-Rugolo, J., … (2022). Natural language processing to extract information from Portuguese-language medical records. Data, 8(1), 11. Cited by: 13

  • De Andrade, L. G. M., Barbosa, A. M. P., Da Rocha, N. C., Cardoso, M. M. de A., … (2022). Impact of the COVID-19 pandemic on solid organ transplant and rejection episodes in Brazil’s Unified Healthcare System. Journal of Clinical Medicine, 11(21), 6581. Cited by: 11

  • Ordones, F. V., Kawano, P. R., Vermeulen, L., Hooshyari, A., Scholtz, D., … (2025). A novel machine learning-based predictive model of clinically significant prostate cancer and online risk calculator. Urology, 196, 20–26. Cited by: 5

  • Addad, V. V., Palma, L. M. P., Vaisbich, M. H., Barbosa, A. M. P., … (2023). A comprehensive model for assessing and classifying patients with thrombotic microangiopathy: The TMA-INSIGHT score. Thrombosis Journal, 21(1), 119. Cited by: 5

  • Santos, G. P. A., Sesso, R., Lugon, J. R., Neves, P. D. M. de M., Barbosa, A. M. P., … (2024). Geographic inequities in hemodialysis access: A call to reassess dialysis facility locations in Brazil. Journal of Nephrology, 37(9), 2601–2608. Cited by: 4