Tao Hu | Health Sciences | Best Researcher Award

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Dr. Tao Hu | Health Sciences | Best Researcher Award

The Affiliated Yuyao Yangming Hospital of Medical School of Ningbo University | China

Dr. Tao Hu is a highly accomplished medical professional and researcher from China, serving at The Affiliated Yuyao Yangming Hospital of the Medical School of Ningbo University, with specialization in thyroid surgery, breast surgery, and anorectal surgery. Having completed his doctoral education in health sciences, Dr. Hu has developed an expertise in combining surgical practice with advanced computational methods, particularly artificial intelligence and machine learning applications in clinical diagnostics and predictive modeling. His professional experience includes independently completing over surgical operations and contributing to multiple provincial-level scientific research projects, including support from the Zhejiang Health Information Association Research Program , which highlights his ability to bridge medical practice with innovative research applications. Dr. Hu’s research interests lie primarily in developing predictive tools that integrate clinical information data with artificial intelligence to forecast disease occurrence, progression, and postoperative risks, especially in thyroid carcinoma, where his recent work has introduced novel models for preoperative risk stratification and lymph node metastasis prediction. His research skills are demonstrated through proficiency in clinical data analysis, ultrasound imaging interpretation, radiomics, and the application of machine learning frameworks to enhance diagnostic accuracy and surgical decision-making. In recent years, Dr. Hu has published several impactful articles in high-quality, peer-reviewed journals such as Endocrine, Frontiers in Endocrinology, and the Journal of Clinical Ultrasound, marking him as a significant contributor to evidence-based surgical practices. While his awards and honors primarily reflect academic and clinical achievements, his recognition through this nomination underscores his growing international reputation as a leader in health sciences research. In conclusion, Dr. Hu’s blend of clinical excellence, innovative research in artificial intelligence applications, and dedication to improving surgical outcomes make him a highly deserving recipient of the Best Researcher Award, as his work holds great promise for advancing both scientific knowledge and patient care globally.

Profile: Orcid

Featured Publications

Hu, T., Cai, Y., Zhou, T., Zhang, Y., Huang, K., Huang, X., Qian, S., Wang, Q., & Luo, D. (2025). Machine learning‐based prediction of lymph node metastasis and volume using preoperative ultrasound features in papillary thyroid carcinoma. Journal of Clinical Ultrasound. Advance online publication.

Hu, T., Zhou, T., Zhang, Y., Zhou, L., Huang, X., Cai, Y., Qian, S., Huang, K., & Luo, D. (2024). The predictive value of the thyroid nodule benign and malignant based on the ultrasound nodule‐to‐muscle gray‐scale ratio. Journal of Clinical Ultrasound, 52(1).

Zhao, L., Hu, T., Cai, Y., Zhou, T., Zhang, W., Wu, F., Zhang, Y., & Luo, D. (2023). Preoperative risk stratification for patients with ≤ 1 cm papillary thyroid carcinomas based on preoperative blood inflammatory markers: Construction of a dynamic predictive model. Frontiers in Endocrinology, 14, 1254124.

Zhou, T., Xu, L., Shi, J., Zhang, Y., Lin, X., Wang, Y., Hu, T., Xu, R., Xie, L., & Sun, L., et al. (2023). US of thyroid nodules: Can AI-assisted diagnostic system compete with fine needle aspiration? European Radiology. Advance online publication.

Zhou, T., Hu, T., Ni, Z., Yao, C., Xie, Y., Jin, H., Luo, D., & Huang, H. (2023). Comparative analysis of machine learning-based ultrasound radiomics in predicting malignancy of partially cystic thyroid nodules. Endocrine. Advance online publication.

 

Razieh Sangsari | Health Sciences | Best Paper Award

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Assoc. Prof. Dr. Razieh Sangsari | Health Sciences | Best Paper Award

Tehran University of Medical Sciences | Iran

Assoc. Prof. Dr. Razieh Sangsari, an Associate Professor at Children’s Medical Center, Tehran, is a leading neonatologist whose academic journey began with a General Medicine degree from Shahrekord University , followed by a specialty/PhD at Shahid Beheshti University , and a neonatology subspecialty at Tehran University, where her theses explored neonatal kernicterus, leukocorea, and respiratory care innovations; with extensive experience as a clinician, researcher, and educator, she has served as chief of ward, reviewer for leading pediatric journals, and active member of neonatal and breastfeeding societies, contributing significantly to both academic and community health; her awards include second place in the national neonatology board and second place in General Medicine, reflecting her consistent academic excellence; Dr. Sangsari’s research focus lies in neonatal intensive care, respiratory support systems such as high-flow nasal cannula versus CPAP, sepsis management, phototherapy, neonatal COVID complications, metabolic and renal disorders, and the development of evidence-based neonatal care protocols, with publications in Iranian and international journals and multiple authored books on neonatal ventilation, drug use, and jaundice management; her strengths for the Best Paper Award include her ability to conduct high-impact clinical research that directly improves neonatal care practices, her wide-ranging publication record addressing both common and rare neonatal conditions, and her commitment to bridging clinical expertise with scholarly output, which positions her as a role model in pediatric research; areas for improvement could include further engagement in international collaborations to enhance the global visibility of her work, diversifying methodological approaches with more multicenter studies, and expanding mentorship initiatives for young researchers in neonatology; in conclusion, Dr. Sangsari’s scholarly excellence, clinical expertise, and consistent contributions to neonatal research demonstrate her strong suitability for the Best Paper Award, with her future research potential directed towards advancing neonatal critical care strategies, integrating technology such as AI-based diagnostic tools, and developing comprehensive care models for high-risk infants, thereby contributing to both national and international pediatric healthcare advancements.

Profile:  ORCID | Scopus

Featured Publications

Saeedi, M., Mirnia, K., Sedighzadeh, S., & Sangsari, R. (2025, September). Neonatal refractory seizures and hyperammonemia in a neonate with ALDH7A1 deficiency.

Sangsari, R., Saeedi, M., Mirnia, K., Eshaghi, H., Sareh, S., & Afkhaminia, A. (2025, April). A comparison of clinical and laboratory features in neonatal proven sepsis and COVID-19.

Mirnia, K., Saeedi, M., Sangsari, R., & Talebi, A. (2024, November 16). Cotoneaster side effects following the treatment of neonatal jaundice. Jundishapur Journal of Natural Pharmaceutical Products.

Mirnia, K., Saeedi, M., Sangsari, R., Ghasemi Tehrani, S., & Rostami, S. (2024, November 9). Risk factors of the severity of COVID-19 infection in infants. Archives of Pediatric Infectious Diseases.

Saeedi, M., Sangsari, R., Mirnia, K., & Ghanbari, M. (2024, November 1). Normal value of perfusion index in healthy neonates born in Iran. Archives of Iranian Medicine.

Sangsari, R. (2024, October 18). Three cases of autoinflammatory disease with novel NLRC4 mutations, and the first mutation reported in the CARD domain of NLRC4 associated with autoinflammatory infantile enterocolitis (AIFEC). Pediatric Rheumatology.

Sangsari, R., Mirnia, K., Ghassemzadeh, M., Rameshgar, M., Saeedi, M., Bayati, N., & Emamgholi, S. (2024, September 1). Peripherally inserted central catheter tip malposition in neonates: A comparison of placement in the head & neck, upper extremity, and lower extremity.

Mirnia, K., Saeedi, M., Sangsari, R., & Kazemzadeh, K. (2024, February). A five‐day‐old child with lipid hemihypertrophy: A case report. Clinical Case Reports.

Saeedi, M., Mirnia, K., Ghassemzadeh, M., Sangsari, R., & Hoseini, Y. (2024, January 25). Diagnostic values of blood indices for neonatal sepsis. Archives of Clinical Infectious Diseases.

Sangsari, R., Saeedi, M., Mirnia, K., Hajilo, M., & Azzizzadeh Roudpishi, N. (2023, October 7). Relationship between serum levels of calcium, magnesium and phosphorus in infants with vitamin D deficiency. Medical Journal of Tabriz University of Medical Sciences.

Mirnia, K., Saeedi, M., Sangsari, R., Mokhtarian Zavareh, F., Mirnia, V., & Rezaei, N. (2023, August 27). Immunoglobulin G levels in neonates after receiving phototherapy. Iranian Journal of Pediatrics.

Mirnia, K., Saeedi, M., Sangsari, R., Kern-Allely, Q., & Jannat Makan, Z. (2023, May 10). Postnatal SARS-COV2 infection in neonates, characteristics and outcomes: An observational study. Archives of Clinical Infectious Diseases.

Saeedi, M., Mirnia, K., Sangsari, R., Jannatmakan, Z., & Ziaee, V. (2023, April 11). Neonatal multisystem inflammatory syndrome associated with COVID-19 exposure in two cases from Iran. Journal of Comprehensive Pediatrics.

Sangsari, R., Saeedi, M., & Mirnia, K. (2023, March 21). Management of hypernatremia dehydration in three neonates with ichthyosis. Iranian Journal of Pediatrics.

Sangsari, R., Dalili, H., Kadivar, M., Saeedi, M., Mirnia, K., Fathi, A., & Hakimelahi, J. (2023, February 28). Evaluation of the relationship between perfusion index and the improvement of patent ductus arteriosus. Iranian Journal of Pediatrics.

Sangsari, R. (2022, May 6). Correlation between the urine analysis in neonates with renal anomaly. Iranian Journal of Pediatrics.

Sangsari, R. (2022, May 3). Respiratory patterns in neonates hospitalized with brief resolved unexplained events. Clinical Neonatology.