Yinfeng Chen | Medicine | Women Researcher Award

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Ms. Yinfeng Chen | Medicine | Women Researcher Award

Attending physician | Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University | China

Dr. Yinfeng Chen is an attending physician at the Department of Nephrology, Hangzhou TCM Hospital, affiliated with Zhejiang Chinese Medical University. With over a decade of experience in clinical nephropathy, Dr. Chen has become a recognized expert in the field. She has actively contributed to various academic endeavors and plans to further her research at the Clinical Research Institute of China-Japan Friendship Hospital in 2024. Her expertise lies in kidney diseases, and she is dedicated to providing innovative treatments to improve patient outcomes.

Profile🔍

Scopus

Strengths for the Awards

  • Solid Academic and Professional Background: Yinfeng holds a postgraduate degree in clinical nephropathy from Zhejiang Chinese Medicine University and has 10 years of clinical experience. This provides a solid foundation for her work in the nephrology field.
  • Research Contributions: She has conducted significant research on chronic kidney disease and its correlation with conditions like stroke, diabetic kidney disease, FSGS, and chronic kidney failure. Her work contributes directly to improving patient outcomes and advancing the field of nephrology.
  • Clinical Application and Innovation: Her commitment to providing personalized treatment plans based on individual conditions demonstrates a practical approach to her research, enhancing the impact of her findings on real-world patient care.
  • Active Participation in Academic Activities: She is engaged in further research at the Clinical Research Institute of China-Japan Friendship Hospital, highlighting her dedication to continuous professional development and collaboration.
  • Published Research: Her research has been published in reputable journals (doi: 10.1080/0886022X.2025.2452219), contributing to the academic discourse in the nephrology field.
  • Yinfeng Chen has demonstrated considerable strength in her clinical and research endeavors, particularly in the area of nephrology. Her dedication to improving patient care and advancing the understanding of kidney diseases makes her a strong candidate for the “Women Researcher Award.” With further contributions in publications, patents, or leadership roles in academic organizations, her profile could become even more competitive.

Education 📚

Dr. Chen graduated from Zhejiang Chinese Medicine University with a postgraduate degree in clinical nephropathy. She has since accumulated substantial clinical experience, working in the nephrology department for over 10 years. Her academic journey has continuously been complemented by active participation in academic and research activities.

Experience💼

As an attending physician in nephrology, Dr. Yinfeng Chen has developed tailored treatment plans for patients, particularly in chronic kidney disease (CKD) and diabetic kidney disease. Her decade-long clinical experience has been enriched through various collaborations, including her upcoming research at the Clinical Research Institute of China-Japan Friendship Hospital.

Research Interest On Medicine 🔬

Dr. Chen’s research interests primarily focus on kidney diseases, including chronic kidney disease, stroke, diabetic kidney disease, and FSGS (focal segmental glomerulosclerosis). She has been exploring the correlation between chronic kidney disease and stroke, among other critical issues in nephrology, with a commitment to developing innovative therapies for better patient survival and treatment outcomes.

Awards🏆

Dr. Yinfeng Chen has been nominated for the prestigious “Women Researcher Award,” a recognition of her significant contributions to nephrology and medical research. Her dedication to enhancing kidney disease treatments through her research and clinical expertise makes her an ideal candidate for this award.

Publications📖

Dr. Chen has published several studies in prominent journals. One of her recent articles, titled “Correlation Between Chronic Kidney Disease and Stroke,” was published in the International Journal of Nephrology and Renovascular Disease in 2025. The article can be accessed here. Her work is also cited by numerous other research studies.

Conclusion🌱

With a proven track record in clinical nephrology and an unwavering commitment to advancing kidney disease research, Dr. Yinfeng Chen continues to make significant strides in the field. Her upcoming work and future endeavors promise to further improve kidney disease management and treatment.

Alphonse Houssou Hounye | medicine | Best Researcher Award

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Dr. Alphonse Houssou Hounye | Medicine | Best Researcher Award

Second Xiangya Hospital | Central south university | China

Dr. Hounye Alphonse Houssou is a dedicated mathematician and researcher currently affiliated with the General Surgery Department at the Second Xiangya Hospital, Central South University, China. With a focus on bioinformatics, image processing, and statistical machine learning, Dr. Houssou is recognized for his significant contributions to scientific research, particularly in cancer prognosis and machine learning models.

Profile

Scopus

Orcid

Strengths for the Awards

Dr. Alphonse Hounye Houssou demonstrates exceptional strengths in the field of scientific research, particularly in bioinformatics, image processing, and machine learning. His contributions include:

  1. Extensive Research Output: With 32 research papers and 21 SCI-indexed publications, including eight as the first author, Dr. Houssou has proven his ability to publish high-quality and impactful research.
  2. Innovative Contributions: His work on high-dimensional omics data analysis has led to groundbreaking findings, such as identifying hub immune-related genes (TRIM67, CORT, PSPN, SCAMP5, RFXAP) in pancreatic cancer prognosis.
  3. Recognition and Awards: He has earned multiple prestigious awards, including the ITCIE Award, Best Researcher Award (International Research Awards), and the Outstanding International Student Award (2022–2023).
  4. Leadership and Collaboration: Dr. Houssou has collaborated with over 10 institutions, participated in COVID-19-related research projects, and contributed to academic seminars, showcasing his leadership and teamwork abilities.

Education 🎓

Dr. Hounye Alphonse Houssou obtained a B.S. in Mathematics from Abomey-Calavi University, Benin, and earned an M.S. in Mathematical Statistics from JiangXi University of Finance and Economics, China, in 2015 and 2020, respectively. Currently, he is pursuing a Ph.D. at the School of Mathematics and Statistics, Central South University, China.

Experience 🏢

With extensive academic and professional experience, Dr. Houssou has been part of numerous innovative research projects. He has also contributed to COVID-19-related academic seminars and exhibited leadership across multidisciplinary teams. Additionally, he actively collaborates with over 10 research institutions globally, contributing to groundbreaking scientific advancements.

Research Interests On medicine🔬

Dr. Houssou’s research interests include:

  • Bioinformatics
  • Image Processing
  • Statistical and Deep Machine Learning

His work focuses on analyzing high-dimensional omics data, developing individualized risk assessments, and uncovering disease biomarkers for improved diagnostics and treatments, particularly in oncology.

Awards 🏆

Dr. Houssou has received several prestigious accolades:

  • ITCIE Award for research excellence
  • Best Researcher Award (International Research Award on Advanced Nanomaterials and Nanotechnology)
  • Outstanding International Student Award (2022–2023)

These awards reflect his contributions to advanced scientific research and innovation.

Publications 📚

  • Title: Characterization of PANoptosis-related genes in Crohn’s disease by integrated bioinformatics, machine learning, and experiments
    Authors: Yang, Y., Hounye, A.H., Chen, Y., Shi, G., Xiao, Y.
    Year: 2024
    Citations: 2
  • Title: A graph-optimized deep learning framework for recognition of Barrett’s esophagus and reflux esophagitis
    Authors: Hou, M., Wang, J., Liu, T., Wang, K., Chen, S.
    Year: 2024
    Citations: 0
  • Title: Explainable machine learning model identified potential biomarkers in liver cancer survival prediction
    Authors: Pan, Q., Houssou Hounye, A., Miao, K., Hou, M., Xiong, L.
    Year: 2024
    Citations: 0
  • Title: Automated heart disease prediction using improved explainable learning-based technique
    Authors: Bizimana, P.C., Zhang, Z., Hounye, A.H., Hammad, M., El-Latif, A.A.A.
    Year: 2024
    Citations: 3
  • Title: Explainable cancer factors discovery: Shapley additive explanation for machine learning models demonstrates the best practices in the case of pancreatic cancer
    Authors: Su, L., Hounye, A.H., Pan, Q., Hou, M., Xiong, L.
    Year: 2024
    Citations: 1
  • Title: Exploring explainable machine learning and Shapley additive explanations (SHAP) technique to uncover key factors of HNSC cancer: An analysis of the best practices
    Authors: Miao, K., Houssou Hounye, A., Su, L., Hou, M., Xiong, L.
    Year: 2024
    Citations: 5
  • Title: Integrated explainable machine learning and multi-omics analysis for survival prediction in cancer with immunotherapy response
    Authors: Hounye, A.H., Xiong, L., Hou, M.
    Year: 2024
    Citations: 0
  • Title: SCARNet: using convolution neural network to predict time series with time-varying variance
    Authors: Zhao, S., Kong, M., Li, R., Hou, M., Cao, C.
    Year: 2024
    Citations: 1
  • Title: Modeling SARS coronavirus-2 omicron variant dynamic via novel fractional derivatives with immunization and memory trace effects
    Authors: Liu, T., Yin, X., Liu, Q., Houssou Hounye, A.
    Year: 2024
    Citations: 1
  • Title: Evaluation of drug sensitivity, immunological characteristics, and prognosis in melanoma patients using an endoplasmic reticulum stress-associated signature based on bioinformatics and pan-cancer analysis
    Authors: Hounye, A.H., Hu, B., Wang, Z., Hou, M., Qi, M.
    Year: 2023
    Citations: 0

Conclusion ✅

Dr. Hounye Alphonse Houssou is a dynamic researcher dedicated to advancing machine learning applications in bioinformatics and medical diagnostics. His impactful contributions to cancer prognosis, along with numerous publications and awards, underscore his role as a leading scientist in the field.