Ms. Yuanxuan Cai | Healthcare Data Analysis | Best Researcher Award

Ms. Yuanxuan Cai | Healthcare Data Analysis Huazhong University of Science and Technology | China

Ms. Yuanxuan Cai is a dedicated doctoral candidate in Pharmacy at Huazhong University of Science and Technology, with a strong academic background in pharmacoepidemiology and drug safety. Her research focuses on adverse drug event (ADE) risk assessment, pediatric pharmacovigilance, and neural network-based drug safety models. Yuanxuan has co-authored several peer-reviewed publications and contributed to multiple national and provincial research projects. She is highly skilled in data analysis, coding, and drug safety evaluation. With a passion for mental health and healthcare policy, she aims to improve public health outcomes through data-driven decision-making in clinical pharmacology and post-marketing drug surveillance.

Professional Profile

SCOPUS

Education

Yuanxuan Cai is currently pursuing her Ph.D. in Pharmacy at Huazhong University of Science and Technology, Her coursework includes health policy, hospital management, and metrology analysis. She earned her Bachelor of Science in Pharmacy from the same university completing courses in medical statistics, pharmacology, and pharmaceutics. Throughout her academic journey, she has consistently demonstrated excellence in both theoretical and applied pharmaceutical sciences, receiving multiple scholarships and recognitions. Her educational background equips her with a strong foundation for advanced research in clinical drug safety and public health policy.

Professional Experience

Ms. Cai has extensive experience participating in multiple high-impact research projects supported by the National Natural Science Foundation of China (NSFC) and provincial programs. Her work includes designing project frameworks, managing large-scale ADE data, performing signal detection using Python and SQL, and applying neural network models to evaluate drug safety. She has played key roles in studies on pediatric medications, oxaliplatin toxicity, and cephalosporin use in children. Yuanxuan is proficient in real-world data analysis, database management, and pharmacovigilance system development. Her hands-on experience with interdisciplinary teams reflects a commitment to improving healthcare safety through evidence-based approaches.

Awards and Recognition

Yuanxuan Cai has received numerous accolades for her academic excellence and research contributions. These include the prestigious National Postgraduate Scholarship (2021), a continuous Postgraduate Academic Scholarship (2020–2024), and the Merit Student Award (2021). She also secured the 3rd Prize in the “Outstanding Knowledge and Action” competition and the 2nd Prize in the Qiaokou Innovation Scholarship (2022). As an undergraduate, she was honored with the Science and Technology Innovation Scholarship twice and was named an Outstanding Graduate in 2022. These recognitions highlight her commitment to academic rigor, innovation, and impactful research in pharmaceutical sciences.

Research Skills

Yuanxuan Cai is proficient in advanced research methodologies, particularly in pharmacoepidemiology and big data analysis. She has hands-on experience with data cleaning and signal detection in ADE databases using Python and SQL. Her skill set includes constructing neural network models and applying logistic regression for predictive drug safety assessments. She has effectively used social network analysis and the Delphi method in pharmacovigilance research. Her coding proficiency extends to R for statistical analysis. Yuanxuan’s interdisciplinary expertise enables her to manage large datasets, evaluate drug combinations, and contribute meaningfully to clinical safety decision-making and public health improvement.

Publications

Suspected Adverse Drug Reactions Related to Statins: Analysis of Spontaneous Reports in Hubei Province, China (2014–2022)

Authors: Wang H, Bi H, Shangguan X, Chen Z, Huang R, Chen X, Cai Y*
Journal: Expert Opinion on Drug Safety
Year: 2025 (Accepted)

Predictive Model of Oxaliplatin-induced Liver Injury Based on Artificial Neural Network and Logistic Regression

Authors: Huang R, Cai Y, He Y, Yu Z, Zhao L, Wang T, et al.
Journal: Journal of Clinical and Translational Hepatology
Year: 2023

Risk Factors for Oxaliplatin-induced Hypersensitivity Reaction in Patients with Colorectal Cancer

Authors: Song Q, Cai Y, Guo K, Li M, Yu Z, Tai Q, et al.
Journal: American Journal of Translational Research
Year: 2022

Status and Safety Signals of Cephalosporins in Children: A Spontaneous Reporting Database Study

Authors: Cai Y, Yang L, Shangguan X, Zhao Y, Huang R
Journal: Frontiers in Pharmacology
Year: 2021

Safety of Traditional Chinese Medicine Injection Based on Spontaneous Reporting System from 2014 to 2019 in Hubei Province, China

Authors: Huang R, Cai Y, Yang L, Shangguan X, Ghose B, Tang S
Journal: Scientific Reports
Year: 2021

Dr. Nadia Dominici - Big Data Analytics - Best Researcher Award

Vrije universitiet Amsterdam - Netherlands

Author Profile

Early Academic Pursuits

Dr. Nadia Dominici's academic journey reflects a profound commitment to understanding the intricacies of human movement sciences. Beginning with her undergraduate studies in Physics at the University of Rome "La Sapienza," her fascination with the mechanics of motion laid the foundation for her future endeavors. This background equipped her with a solid understanding of fundamental principles, which she later applied to her doctoral studies in Neuroscience at the University of Rome "Tor Vergata." Here, she delved into the neurophysiology of locomotor development in children, a pivotal area that would shape her career trajectory.

Professional Endeavors

Dominici's professional journey is marked by a series of strategic moves, each contributing to her expertise in human movement sciences. Her postdoctoral fellowships at esteemed institutions such as the Swiss Federal Institute of Technology Lausanne (EPFL) and the University of Zurich allowed her to collaborate with leading experts in the field, including Professors G. Courtine and F. Lacquaniti. These experiences broadened her perspective and honed her skills, preparing her for roles as a Senior Research Fellow and Assistant Professor at the Vrije Universiteit Amsterdam.

Contributions and Research Focus

Dominici's research focus is centered on unraveling the complexities of human locomotion, particularly in developmental stages. Her seminal work has contributed significantly to understanding the neural mechanisms underlying walking, from toddlers' first steps to the rehabilitation of individuals with neurological disorders. Her interdisciplinary approach, combining neuroscience, biomechanics, and physiology, has yielded groundbreaking insights into motor control and rehabilitation strategies.

Accolades and Recognition

Dominici's contributions to the field have been recognized through numerous awards and honors. Notably, she received the Suzanne Klein-Vogelbach Prize for the Research of Human Movement and the IgNobel Prize in Physics for her groundbreaking discoveries. These accolades underscore the significance of her research and its impact on both scientific and public discourse.

Impact and Influence

Dominici's work has had a profound impact on the field of human movement sciences, shaping our understanding of locomotor development and rehabilitation. Her innovative approaches have inspired researchers worldwide, fostering collaborations and driving advancements in neurorehabilitation. Through her mentorship and academic supervision, she continues to cultivate the next generation of scientists, ensuring a legacy of excellence and innovation.

Legacy and Future Contributions

As a Visiting Professor at New York University and an Associate Professor at Vrije Universiteit Amsterdam, Dominici remains at the forefront of research in human movement sciences. Her ongoing projects, including involvement in prestigious grants and supervisory roles, attest to her enduring commitment to advancing knowledge in the field. With a legacy built on curiosity, collaboration, and excellence, Dominici's future contributions are poised to further revolutionize our understanding of human locomotion and its implications for health and rehabilitation.

Yuanxuan Cai | Healthcare Data Analysis | Best Researcher Award