Shuping Han | Medicine | Best Researcher Award

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Prof. Dr. Shuping Han | Medicine | Best Researcher Award

Women’s Hospital of Nanjing Medical University | China

Dr. Shuping Han is a distinguished Chief Physician at the Women’s Hospital of Nanjing Medical University, where she also serves as a professor and PhD supervisor. She leads the Department of Pediatrics, focusing on neonatal medicine and maternal-child healthcare. With extensive clinical and research experience, she has contributed significantly to neonatology, particularly in preterm care and neonatal diseases. Dr. Han has trained numerous physicians and pioneered innovative medical practices, earning recognition as a leader in her field.

Professional profile👤

Scopus

Strengths for the Awards✨

  • Outstanding Research Contributions – Dr. Han has led multiple impactful research projects, including those on neonatal diseases, human milk research, and preterm infant care. Her work on NEC prevention and neonatal hyperbilirubinemia has resulted in significant clinical advancements.

  • High Research Output – With 35 SCI/Scopus-indexed journal publications, books, and patents, she has established a strong research profile.

  • National and International Recognition – Her research has been recognized with prestigious awards such as the Jiangsu Medical Science and Technology Award and the National Maternal and Child Health Science and Technology Award (2023).

  • Clinical Impact – Her work has led to real-world applications, such as reducing NEC incidence and influencing national healthcare guidelines.

  • Leadership and Collaboration – She holds key positions in professional organizations, editorial boards, and multidisciplinary collaborations, showing her influence in the field.

Education 🎓

Dr. Han obtained her Doctor of Pediatrics degree and pursued further studies at top medical institutions, including the Children’s Hospital of Fudan University (Shanghai), Denver Children’s Hospital (University of Colorado, USA), and Philadelphia Children’s Hospital (University of Pennsylvania, USA). Her academic journey has equipped her with cutting-edge knowledge and skills in neonatal and pediatric medicine.

Experience 💼

With decades of experience, Dr. Han is the Administrative Director of the Department of Pediatrics at the Obstetrics and Gynecology Hospital affiliated with Nanjing Medical University. She has led key neonatal healthcare initiatives and played an instrumental role in establishing Jiangsu Provincial Key Clinical Specialty in Neonatology. Her leadership has contributed to advancements in neonatal disease diagnosis and treatment.

Research Interests On Medicine 🌍

Dr. Han’s research focuses on preterm-related diseases, human milk studies, and neonatal hyperbilirubinemia. Her work explores necrotizing enterocolitis (NEC) and bronchopulmonary dysplasia (BPD), aiming to develop innovative prevention strategies. She has conducted multi-center studies on severe complications in preterm infants and the protective effects of human milk-derived peptides, advancing neonatal healthcare globally.

Awards 🏆

Dr. Han’s contributions have earned her prestigious accolades, including:

  • Jiangsu Medical Science and Technology Award (2023)
  • National Maternal and Child Health Science and Technology Award (2023) Her groundbreaking research and dedication to neonatal care have positioned her as a leading expert in the field.

Publications 📚

Dr. Han has authored over 35 papers in SCI/Scopus-indexed journals. Some of her notable publications include:

  1. Effect of probiotics on necrotizing enterocolitis in preterm infants: a network meta-analysis of randomized controlled trials

    • Authors: Y. Dai, Q. Yu, F. Zhang, S. Li, S. Han

    • Publication Year: 2025

  2. Association between antenatal corticosteroids and neonatal outcomes among very preterm infants born to mothers with hypertensive disorders of pregnancy: a multicenter cohort study

    • Authors: M. Sun, A. Qian, X. Li, T. Yang, L. Yuan

    • Publication Year: 2025

  3. The current clinical landscape of preterm infants less than 32 weeks of gestation receiving delivery room chest compression in Jiangsu Province, China

    • Authors: N. Wang, W. Hou, H. Zhou, J. Zhang, R. Cheng

    • Publication Year: 2025

  4. Risk factors and adverse outcomes of initial non-invasive ventilation failure in very low birth weight infants: a multicenter retrospective cohort study

    • Authors: J. Zhu, S. Li, Y. Gao, S. Han

    • Publication Year: 2024

  5. Conjugated linoleic acid ameliorates necrotizing enterocolitis by suppressing inflammatory responses and maintaining intestinal barrier integrity via the PPARγ/NFκB signaling pathway

    • Authors: C. Jiang, F. Zhang, M. Zhang, S. Li, S. Han

    • Publication Year: 2024

  6. Association of neonatal outcome with birth weight for gestational age in Chinese very preterm infants: a retrospective cohort study

    • Authors: L. Li, J. Guo, Y. Wang, W. Zhou, L. Du

    • Publication Year: 2024

  7. RBC transfusion and necrotizing enterocolitis in very preterm infants: a multicenter observational study

    • Authors: D. Dang, X. Gu, S. Jiang, Y. Wu, J.Y. Ting

    • Publication Year: 2024

  8. The performance of the practices associated with the occurrence of severe intraventricular hemorrhage in the very premature infants: data analysis from the Chinese neonatal network

    • Authors: T. Xiao, L. Hu, H. Chen, Y. Chen, Y. Wu

    • Publication Year: 2024

  9. Using a new human milk fortifier to optimize human milk feeding among very preterm and/or very low birth weight infants: a multicenter study in China

    • Authors: J. Han, L. Zhang, R. Zhang, C. Liu, Y. Cao

    • Publication Year: 2024

  10. Neonatal lupus erythematosus with severe persistent pulmonary hypertension

  • Authors: B. Zhuang, Y. Chen, S. Han

  • Publication Year: 2024

Conclusion 📄

Dr. Shuping Han’s exemplary career in neonatology has made a profound impact on neonatal care and maternal-child health. Through her research, leadership, and clinical expertise, she has improved preterm infant outcomes and influenced healthcare policies. Her dedication to innovation and mentorship continues to shape the future of neonatal medicine, solidifying her reputation as a pioneer in the field.

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.