Ruxing Zhao

Shandong University China

Dr. Ruxing Zhao is now an Associate Chief Physician and Associate Research Professor at Qilu Hospital of Shandong University, as well as an Associate Professor at Shandong University. He also serves as the Deputy Director of the Shandong Provincial Key Laboratory of Temporal Regulation and Precision Intervention in Endocrine and Metabolic Diseases. His research focuses on the role of immune-inflammatory mechanisms in endocrine and metabolic diseases, particularly how environmental factors (gut microbiota, diet, and lifestyle) influence glucose and lipid metabolism through immunometabolism, circadian rhythms and epigenetic regulation. Dr. Zhao has developed practical tools for assessing pancreatic β-cell function and contributed to the improvement of endocrine function tests.

1books edited

1chapters authored

Latest work with IntechOpen by Ruxing Zhao

Type 1 Diabetes Mellitus (T1DM) is a complex autoimmune disorder that profoundly impacts the lives of millions globally. Despite significant strides in medical technology, the prevention, treatment, and management of T1DM continue to present formidable challenges. This volume brings together the collective insights of leading experts from around the world, offering a comprehensive and authoritative compendium that spans the latest research advancements in T1DM, from foundational science to clinical applications, and from traditional therapies to cutting-edge digital health solutions. It provides an in-depth exploration of the pathogenesis, a global perspective on epidemiology, meticulous dissection of pathophysiology, and exhaustive discussions on treatment modalities. It offers practical strategies for preventing and managing complications, provides deep insights into the sociopsychological dimensions, and explores the latest research advancements. Additionally, it innovatively integrates the application of artificial intelligence and data science in disease management, providing a holistic view of T1DM management. Key Features:
• Authoritative Content: Authored by a distinguished panel of internationally renowned diabetes specialists, ensuring the content is based on the most current evidence-based medical findings.
• Cutting-Edge Research: Includes groundbreaking research directions such as stem cell therapy, microbiome intervention, and the latest advancements in precision medicine.
• Practical Utility: Combines clinical scenarios with technological applications, facilitating physicians in formulating optimal treatment strategies.
• Innovative Insights: Explores how artificial intelligence and big data are revolutionizing the future of diabetes management.
• Comprehensive Coverage: Grounded in the latest scientific findings and enriched with real-world clinical cases, this book presents a complete knowledge system for T1DM.
Whether you are an endocrinologist, a researcher, or a public health policymaker, this book will prove to be an invaluable resource for understanding T1DM, optimizing patient care, and exploring future therapeutic avenues.

Go to the book

Type 1 Diabetes - Causes, Treatments and Management

Edited by Ruxing Zhao

Chapters authored

Application of Data Science in Management of Type 1 Diabetes

By Wenjing Meng, Jun Qin, Tixiao Wang and Ruxing Zhao

Data science has now significantly penetrated the realm of Type 1 diabetes (T1D) management, offering invaluable assistance to healthcare providers in forecasting, monitoring, and treating the disease. Leveraging computer technology, Data science enables real-time monitoring or even predication of patients’ blood sugar levels as well as complication development. By medical big data analytics involving patients’ blood sugar, dietary habits, exercise patterns, and other relevant information, it contributes to personalized follow-up plans that are tailored to each patient’s unique circumstances. Utilizing artificial intelligence (AI) algorithms, it also provides health management services, including health education and lifestyle guidance, to help patients better manage their diabetes and improve their quality of life. The AI-based individualized insulin-glucose precision regulation and response system (artificial pancreas) also provide precision insulin dosages in real time according to the real-time changes in glycemic levels and other physiological indicators, to maintain stable glycemic control. Moreover, integrated clinical and biological multi-omics data and application of machine learning (ML) grant researchers the capability to explore the genetic foundations, molecular pathways, and prospective therapeutic targets of T1DM with greater depth and precision. With continued technological advancements and deeper applications, Data science is expected to play an even greater role in the future.

Part of the book: Type 1 Diabetes

Ruxing Zhao

Latest work with IntechOpen by Ruxing Zhao

Type 1 Diabetes - Causes, Treatments and Management

Chapters authored

Related collaborators

Oluwafemi Ojo

Adebola Ojo

Issa Rasheed Fetian

Tenifayo Soyinka

Emmanuel Ezenabor

Morteza Ghojazadeh

Majid Mobasseri

Alireza Lotfi

fatemeh Pournaghi azar

Stefan Zechmann

Your cart