BaomanLi| Neuroanatomy | Best Researcher Award

Prof. BaomanLi| Neuroanatomy| Best Researcher Award

Prof . Baoman Li, China Medical University, China.

Dr. Baoman Li is a distinguished neuroscientist and forensic toxicologist whose academic and professional journey spans advanced pharmacological research and impactful discoveries in brain science. With a Ph.D. from China Medical University and postdoctoral training in the U.S., he has built a career rooted in scientific excellence and innovation. His pioneering research—ranging from CSF transport mechanisms to neuronal excitability and circadian-based psychiatric models—has been published in leading journals. As a professor and department director, he also contributes through scholarly leadership, editorial work, and mentorship, strengthening the foundation of neuroglial and toxicological research

Profile

 

Early Academic Pursuits

Dr. Baoman Li’s academic journey began with a strong foundation in medical pharmacology, culminating in a Ph.D. from China Medical University. His early academic years were marked by a keen interest in the complex interactions between drugs and neural function, particularly within the central nervous system. Motivated by a curiosity about how neurochemical pathways influence behavior and mental health, Dr. Li pursued rigorous scientific training and research, laying the groundwork for a future at the forefront of forensic toxicology and neuropharmacology.

Professional Endeavors

Following his doctoral studies, Dr. Li expanded his academic horizons as a postdoctoral researcher at the University of Rochester Medical Center in the United States from 2013 to 2014. There, he collaborated on cross-disciplinary studies, refining his expertise in neurobiology and toxicological mechanisms. Returning to China, he assumed the role of Professor and Department Director of the Forensic Analytical Toxicology Department at China Medical University. In this position, he has led numerous high-impact research initiatives, while mentoring emerging scientists and guiding departmental development.

🧠 Contributions and Research Focus

Dr. Li’s research has contributed significantly to our understanding of the brain’s physiological and pathological processes. His recent studies have been particularly groundbreaking. He identified a previously unknown ependymal cell-mediated pathway responsible for transporting cerebrospinal fluid (CSF) from the central nervous system to peripheral organs, published in PNAS in 2024. Another major discovery, published in Cell Metabolism in 2025, revealed the role of the norepinephrine–free fatty acid–Na⁺/K⁺-ATPase axis in regulating neuronal hyperexcitability and behavioral arousal. Furthermore, his 2023 work in Molecular Psychiatry introduced a novel circadian disruption-induced manic mouse model, offering new tools for bipolar disorder research.

📚 Scholarly Contributions and Thought Leadership

Beyond laboratory discoveries, Dr. Li has demonstrated scholarly leadership through his editorial work on three comprehensive books focusing on neuroglial functions and dysfunctions. These editorial endeavors reflect his deep engagement with the academic community and his commitment to synthesizing and disseminating cutting-edge knowledge. His work bridges pharmacology, neuroscience, and psychiatry, reinforcing his reputation as a thought leader in the multidisciplinary domain of brain science and mental health.

🏅 Accolades and Recognition

Dr. Li’s scientific rigor and innovative research have earned him national and international recognition. His publications in high-impact journals have attracted attention from global neuroscientific communities, affirming the relevance and importance of his findings. As a respected academic, he frequently contributes to peer-reviewed journals and serves as a reviewer and collaborator across multiple institutions, further highlighting his expertise and integrity as a scientist.

🌍 Impact and Influence

Through his research, Dr. Li has had a significant impact on the fields of forensic toxicology, neuropharmacology, and psychiatric disorder modeling. His identification of critical neural pathways and behavioral mechanisms has implications for both clinical practice and basic science. His collaborative work continues to influence ongoing studies in neuroscience and mental health treatment strategies, and his mentorship of students ensures that his influence extends to future generations of researchers.

🔬 Legacy and Future Contributions

As Dr. Baoman Li continues his work, he remains committed to pushing the boundaries of forensic neuroscience and neuropharmacology. With a legacy rooted in innovation, academic excellence, and cross-disciplinary exploration, his future contributions are expected to further transform our understanding of brain function and disease. By integrating analytical toxicology with behavioral neuroscience, Dr. Li aims to develop novel diagnostic and therapeutic approaches that could benefit public health on a global scale.

🧾 Conclusion

Through decades of dedication, Dr. Baoman Li has emerged as a transformative figure in the intersecting fields of neuropharmacology, forensic toxicology, and psychiatric neuroscience. His work not only enhances scientific understanding but also opens new avenues for diagnosis and treatment of complex neurological and psychological disorders. As he continues to lead cutting-edge research and mentor the next generation, his influence will persist—shaping the future of brain health and forensic science across global academic and clinical landscapes.

Jun Xia | Central Nerous System | Best Scholar Award

Dr. Jun Xia | Central Nerous System| Best Scholar Award

Dr. Jun Xia,  Shenzhen Second People’s Hospital, China.

Dr. Jun Xia, Chief Physician and Deputy Director of the Department of Medical Imaging at Shenzhen Second People’s Hospital, is a distinguished expert with over 30 years of experience in medical imaging. His work focuses on neurological diagnostics, functional imaging, AI-assisted diagnostics, and rare disease consultations. Dr. Xia has published 52 journal articles, including 39 SCI papers with a cumulative impact factor exceeding 100, and authored six books. He holds three patents and has led 15 research projects, including collaborations on pioneering AI-based diagnostic tools. His expertise is recognized globally through editorial appointments, conference presentations, and professional memberships.

 

profile

Scholar

🎓 Academic and Professional Background

Dr. Jun Xia, a Ph.D. holder and medical imaging expert, boasts 30+ years of experience in neurological diagnostics, functional imaging, AI-assisted diagnostics, and rare disease consultations.  He has published 39 SCI papers with an impact factor exceeding 100, reviewed national research funds, and presented at top-tier conferences such as RSNA and ECR.

💡 Research and Innovations

Completed/Ongoing Research Projects: 15. Citation Index: Not specified. Consultancy/Industry Projects: Not specified.Books Published (ISBN): 6.ISBN: 9787117274296, 9787117235983, 9787535767066, 9787535767080, 9787523513552, 9787117331340.Patents Published/Under Process: 3.Journals Published (SCI, Scopus, etc.): 52

Representative Papers:

European Radiology (2024): Feasibility of CT-based synthetic brain T1-weighted MRI.Information Fusion (2022): Explainable AI via multi-modal and multi-centre data fusion.European Radiology (2022): MRI neuroimaging for prognosis in hydrocephalus patients post-shunt surgery.Neural Computing & Applications (2022): AI-based e-Diagnosis for ventricular volume measurement.Quantitative Imaging in Medicine and Surgery (2022): MRI synthesis from CT using CNNs with contextual loss.

🌐 Professional Memberships

Member, Head and Neck Committee, Radiology Branch, Chinese Medical Association.Member, Neuroregeneration and Repair Professional Committee, Chinese Research Hospital AssociationMember, Magnetic Resonance Application Professional Committee, China Medical EquipmentAssociation.Member, Neurology Group, Radiology Branch, Guangdong Medical AssociationMember, Radiology Branch, Shenzhen Medical Association

🏆 Contributions

Dr. Jun Xia has made exceptional contributions in medical imaging, excelling in advanced diagnostic techniques for CNS, musculoskeletal, and abdominal diseases. His expertise in neuroimaging and AI-assisted diagnostics has led to groundbreaking solutions in patient care. With numerous impactful publications and clinical innovations, he continues to advance the field of medical imaging.

📚 Publications

  • Artificial intelligence distinguishes COVID-19 from community-acquired pneumonia on chest CT
    Authors: L Li, L Qin, Z Xu, Y Yin, X Wang, B Kong, J Bai, Y Lu, Z Fang, Q Song, …
    Year: 2020

 

  • Using artificial intelligence to detect COVID-19 and community-acquired pneumonia based on pulmonary CT: evaluation of the diagnostic accuracy
    Authors: L Li, L Qin, Z Xu, Y Yin, X Wang, B Kong, J Bai, Y Lu, Z Fang, Q Song, …
    Year: 2020

 

  • Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond
    Authors: G Yang, Q Ye, J Xia
    Year: 2022

 

  • Weakly supervised deep learning for COVID-19 infection detection and classification from CT images
    Authors: S Hu, Y Gao, Z Niu, Y Jiang, L Li, X Xiao, M Wang, EF Fang, …
    Year: 2020

 

  • Precise diagnosis of intracranial hemorrhage and subtypes using a three-dimensional joint convolutional and recurrent neural network
    Authors: H Ye, F Gao, Y Yin, D Guo, P Zhao, Y Lu, X Wang, J Bai, K Cao, Q Song, …
    Year: 2019

 

  • A single-center, retrospective study of COVID-19 features in children: a descriptive investigation
    Authors: H Ma, J Hu, J Tian, X Zhou, H Li, MT Laws, LD Wesemann, B Zhu, …
    Year: 2020

 

  • Swin transformer for fast MRI
    Authors: J Huang, Y Fang, Y Wu, H Wu, Z Gao, Y Li, J Del Ser, J Xia, G Yang
    Year: 2022

 

  • Explainable AI for COVID-19 CT classifiers: an initial comparison study
    Authors: Q Ye, J Xia, G Yang
    Year: 2021

 

  • Radiomics nomogram building from multiparametric MRI to predict grade in patients with glioma: a cohort study
    Authors: Q Wang, Q Li, R Mi, H Ye, H Zhang, B Chen, Y Li, G Huang, J Xia
    Year: 2019

 

  • Learning tree-structured representation for 3D coronary artery segmentation
    Authors: B Kong, X Wang, J Bai, Y Lu, F Gao, K Cao, J Xia, Q Song, Y Yin
    Year: 2020

 

Conclusion

Dr. Jun Xia’s contributions to medical imaging have significantly advanced the field, particularly in AI-driven diagnostics and functional neuroimaging. His innovative research, extensive publications, and clinical applications underscore his status as a leader in the domain. With a proven track record of excellence and groundbreaking work, Dr. Xia exemplifies the qualities of a visionary researcher and a transformative figure in medical imaging.

 

 

Mohammad Satarzadeh | Cognitive impairments | Best Researcher Award

Mr. Mohammad Satarzadeh | Cognitive Impairments | Best Researcher Award

Mr. Mohammad Satarzadeh Hormozgan medical science university Iran

Mohammad Satarzadeh, born in March 1999 in Arak, is a dedicated nursing graduate with a passion for medicine and healthcare. He completed his Bachelor’s in Nursing from Hormozgan University of Medical Sciences, scoring 16.60 out of 20, and previously attended Payame Noor University for Cellular and Molecular Biology. Fluent in Persian and conversational in both French and Arabic, he is also working towards improving his English for IELTS.

 

profile

scopus

EDUCATION 🎓

Bachelor of Cellular and Molecular BiologyPayame Noor University, Arak (2018–2019)After completing two semesters, I decided to pivot my focus and applied to the University of Medical Sciences.Bachelor of NursingHormozgan University of Medical Sciences, Bandar Abbas (2019–2023)Total Score: 16.60/20

 

EXPERIENCE 📝

I have contributed to several research articles in reputable journals, showcasing my dedication to scientific inquiry:Shigella Antibiotic Resistance in Pediatric Shigellosis Infection: A retrospective study in Hormozgan (Corresponding author, ISI indexed)New Dimension of Epilepsy Complications: A systematic review of visual and retinal disorders (Corresponding author, under review, ISI indexed in BMC Ophthalmology)Maternal Smoking during Pregnancy and Its Effects on Neural Tube Defects: A holistic systematic review (Accepted, PubMed indexed)Additionally, I have four articles submitted for publication and five more in preparation for submission before January 2024.

 

RESEARCH PROJECTS 🔬

Effect of Personality Types on Heart Disease Prognosis: A systematic review.Incidence of Infections in Children with Leukemia: Conducted at Bandar Abbas Children’s Hospital (2020-2023).Neonatal Neutropenia and Leukopenia: Study in infants admitted to Shariati Bandar Abbas Hospital (2021-2023).Prevalence of Hepatitis B, C, and D: In thalassemia patients referred to Aburihan Center, Bandar Abbas.Burns from Alkaline Substance Ingestion: Cases studied at Bandar Abbas Children’s Hospital (2019-2023)

 

REVIEWER EXPERIENCE 🏅

Reviewer for a cohort article published in the Italian Pediatric JournalReviewer for the Tobacco Congress held at Hormozgan Medical Sciences University (March 2022).Active reviewer for Hematology, Immunology, and Pediatric departments at Hormozgan Medical Sciences University (4 recommendation letters available)

 

📚 Publications

  • Title: Dental Pulp Stem Cells Regenerate Neural Tissue in Degenerative Disorders and Stroke Rehabilitation: A Scope Systematic Review
    Authors: Rahnama Sisakht, A., Tavasouli, Z., Negahi, A., Hosseini, S.A., Satarzadeh, M.
    Year: 2024
    Journal: Heliyon, Volume 10, Issue 15, e35080

 

  • Title: Mothers’ Health-Seeking Behaviors and Ignorance of Children’s Fever: A Cross-Sectional Study
    Authors: Tariverdi, M., Sakhtemanpour Bolouki, S., Tamaddondar, M., Rahmati, M.B., Mohammadian, M.
    Year: 2024
    Journal: Archives of Pediatric Infectious Diseases, Volume 12, Issue 3, e142885

 

  • Title: Maternal Smoking during Pregnancy and its Effects on Neural Tube Defects
    Authors: Elahi, Z., Hassanzadeh, F., Satarzadeh, M.
    Year: 2024
    Journal: Iranian Journal of Child Neurology, Volume 18, Issue 3, Pages 103–115

 

Conclusion

Mohammad’s academic background, research contributions, and determination to overcome challenges in the Iranian academic environment position him as a strong candidate for postgraduate studies. His pursuit of international education aims to broaden his expertise, offering him the opportunity to expand his research capabilities and contribute to global medical knowledge. His drive, research skills, and experience in the medical field align well with his career aspirations, making him a promising candidate for further academic and professional growth in healthcare.