Hao Lai | Clinical Neuroscience | Best Researcher Award

Posted on by Neuroscientists

Prof. Dr. Hao Lai | Clinical Neuroscience | Best Researcher Award

Prof. Dr. Hao Lai, Zhongshan Hospital, Fudan University, China.

Dr. Hao Lai is a distinguished cardiovascular surgeon and researcher, currently serving as Chief Physician at Zhongshan Hospital, Fudan University. With over 20 years of clinical expertise, he specializes in aortic and cardiovascular surgery. His academic achievements include a Ph.D. in Surgery from Fudan University and significant contributions to the study of epigenetic mechanisms in thoracic aortic dissection. As a principal investigator of nationally funded projects and co-author of influential publications, Dr. Lai combines scientific rigor with clinical innovation. He has also played a key role in medical education and device development through industry collaboration.

Profile

Scopus

 

🎓 Early Academic Pursuits

Dr. Hao Lai began his academic journey with a strong foundation in medical sciences, culminating in a Ph.D. in Surgery from the prestigious Fudan University. His early academic pursuits were marked by a deep interest in cardiovascular physiology and surgical intervention, which later matured into a specialized focus on aortic diseases. His time as a doctoral candidate not only equipped him with rigorous scientific training but also ignited his lifelong commitment to solving complex clinical problems through research.

🏥 Professional Endeavors

Currently serving as Chief Physician at Zhongshan Hospital, Fudan University, Dr. Hao Lai has accumulated over two decades of extensive clinical experience in cardiovascular and aortic surgery. His professional trajectory reflects a seamless integration of surgical excellence with academic leadership. At Zhongshan Hospital, a leading institution in China, he has spearheaded several clinical programs aimed at enhancing patient outcomes in cases of thoracic aortic dissection and other high-risk cardiovascular conditions.

🔬 Contributions and Research Focus

Dr. Lai’s research centers around the epigenetic mechanisms underlying thoracic aortic dissection, with a particular focus on histone modification and DNA methylation. He is the Principal Investigator of a major research project funded by the National Natural Science Foundation of China, which explores the role of H3K36me3 histone modification and DNMT3B-mediated gene body methylation in the pathogenesis of aortic dissection. His scientific efforts bridge molecular pathology with clinical implications, offering new perspectives on the diagnosis and treatment of life-threatening vascular disorders.

🏆 Accolades and Recognition

A respected voice in cardiovascular medicine, Dr. Hao Lai has co-authored numerous influential articles in high-impact journals such as Cardiovascular Research and Advanced Science. His h-index of 18, as listed on Scopus, reflects his consistent scholarly output and the wide academic acknowledgment of his work. In addition, his authorship of the textbook Practical Surgery (3rd Edition), published by People’s Medical Publishing House, stands as a testament to his educational contributions to the next generation of Chinese surgeons.

🧪 Impact and Innovation

Dr. Lai’s research has made a tangible impact on the understanding and treatment of aortic diseases. His investigation into the epigenetic regulation of vascular pathology has opened new avenues for targeted therapies. Moreover, his collaboration with MicroPort Endovascular MedTech demonstrates his commitment to translating research findings into real-world applications, particularly in the development and refinement of endovascular surgical devices.

🌍 Influence and Collaboration

Beyond his direct research and surgical contributions, Dr. Lai’s influence extends into collaborative domains, both nationally and internationally. His leadership in high-level research grants, clinical trials, and industrial partnerships positions him as a central figure in the evolving landscape of cardiovascular surgery. His collaborative spirit fosters innovation and promotes cross-disciplinary dialogue, essential in today’s complex medical research environment.

đź”® Legacy and Future Contributions

As Dr. Hao Lai continues his distinguished career, his legacy is being shaped not only by his surgical accomplishments but also by his contributions to medical science. His ongoing projects are likely to further clarify the molecular landscape of aortic diseases and inspire new therapeutic strategies. Looking ahead, Dr. Lai is poised to remain at the forefront of cardiovascular innovation, committed to improving patient care through a synthesis of research, education, and clinical practice.

Publication

 

Title: Prevalence and predictors of left atrial thrombus in patients with rheumatic atrial fibrillation undergoing cardiac surgery: a cross-sectional study
Authors: J. Cui, Y. Zhang, Y. Wang, Q. Ji, C. Wang
Year: 2025


Title: A novel open-vascular single-branched stent graft in total arch repair of type A aortic dissection one-year results of a prospective multicenter randomized controlled study
Authors: J. Gu, W. Zhang, L. Kang, H. Lai, C. Wang
Year: 2025


Title: Fibroblast Activation Protein Acts as a Biomarker for Monitoring ECM Remodeling During Aortic Aneurysm via 68Ga-FAPI-04 PET Imaging
Authors: C. Hu, H. Tan, Y. Zhang, X. Chen, L. Wang
Year: 2025


Title: Mitochondrial NAD+ deficiency in vascular smooth muscle impairs collagen III turnover to trigger thoracic and abdominal aortic aneurysm
Authors: J. Zhang, Y. Tang, S. Zhang, K. Zhu, W. Zhang
Year: 2025


Title: Correcting mitochondrial loss mitigates NOTCH1-related aortopathy in mice
Authors: Y. Tang, J. Zhang, Y. Fang, Y. Xu, W. Zhang
Year: 2025


Title: Exploration of 68Ga-FAPI-04 PET/MR in Chronic Type B Aortic Dissection
Authors: C. Hu, Y. Zhang, S. Qiu, H. Shi, L. Wang
Year: 2025


Title: Effects of postoperative glucocorticoids on mitigation of organ dysfunction in patients with type A aortic dissection: A randomized controlled trial
Authors: M. Luo, J. Luo, X. Xu, G. Tu, Z. Luo
Year: 2024


Title: Therapeutic results of three-dimensional aortic valve anatomic repair for regurgitant bicuspid aortic valve
Authors: J. Li, C. Wang, Z. Zuo, W. Ding, T. Hong
Year: 2024


Title: 68Ga-FAPI-04 Positron Emission Tomography/Magnetic Resonance Imaging for Assessing Ascending Aortic Aneurysm
Authors: C. Hu, H. Tan, Y. Zhang, H. Lai, L. Wang
Year: 2024


Title: Sex-based outcomes after thoracic endovascular aortic repair: A systematic review and meta-analysis
Authors: Y. Zhang, Y. Zhang, Y. Wang, L. Wang, Q. Ji
Year: 2025

âś… Conclusion

Dr. Hao Lai’s career represents a powerful blend of surgical precision, scientific insight, and academic leadership. His work has advanced the understanding of aortic diseases at the molecular level while improving surgical outcomes for patients. As he continues to mentor, innovate, and lead research at the intersection of epigenetics and cardiovascular pathology, Dr. Lai’s contributions are set to leave a lasting legacy in both clinical practice and medical science.

 

 

Samira Jafari | Brain Mapping | Best Researcher Award

Posted on by Neuroscientists

Dr. Samira Jafari | Brain Mapping | Best Researcher Award

Dr Samira Jafari, Kerman university of medical sciences, Iran.

Dr. Samira Jafari, a distinguished Ph.D. in Biostatistics at Kerman University of Medical Sciences, is a leading researcher in biostatistics, machine learning methods, and meta-analysis. With 11 research projects and 11 journal publications in SCI and Scopus-indexed journals, she has made significant contributions to healthcare research, focusing on data-driven solutions. Her work in integrating machine learning with biostatistical models aims to enhance health data analysis, with the potential for improving disease prediction, public health policies, and medical practices.

Profile

Scholar

Early Academic Pursuits: The Foundation of Expertise đź“š

Dr. Jafari’s academic journey began with a strong foundation in biostatistics, where she honed her analytical skills and developed a passion for understanding the intricacies of data. During her studies, she was captivated by the potential of machine learning to transform data analysis in healthcare, laying the groundwork for her future endeavors. Her early academic pursuits focused on mastering statistical models and computational techniques, which would become the bedrock of her later research.

Professional Endeavors: Shaping Research Landscape 🧑‍🔬

Since completing her Ph.D., Dr. Jafari has become a key figure in advancing biostatistics research, particularly through her exploration of machine learning applications. At Kerman University of Medical Sciences, she has led numerous research projects, with a total of 11 completed and ongoing studies. Her expertise has contributed to groundbreaking work in applying biostatistics and machine learning methods to analyze large-scale healthcare data. Dr. Jafari’s research provides essential insights that enhance the understanding of disease patterns and contribute to better health outcomes.

Contributions and Research Focus: Bridging Knowledge and Practice 🧠

Dr. Jafari’s research contributions are particularly notable in the integration of machine learning algorithms with biostatistics to improve health data interpretation. Her work includes innovative meta-analytic methods to synthesize complex data and uncover underlying patterns that inform healthcare practices. By combining machine learning with statistical models, she has been able to provide robust solutions for various medical and epidemiological studies. With 11 journal publications in top-tier journals like SCI and Scopus, her research has had a significant impact on advancing statistical methods in biostatistics.

Accolades and Recognition: Scholarly Achievements 🏆

Dr. Jafari’s scholarly achievements have not gone unnoticed. Her work has earned recognition through a citation index of 2, reflecting her contributions to the academic community. Despite the limited citations, her research is highly regarded for its innovative approach to statistical modeling and its potential applications in the field of biostatistics. She has made a lasting impression through her academic rigor, innovative methods, and dedication to enhancing the quality of healthcare research.

Impact and Influence: Leading the Way in Quantitative Healthcare Research 🌍

Dr. Jafari’s work in biostatistics and machine learning has influenced both academic research and practical applications in healthcare. Her innovative approaches to analyzing and interpreting health data have the potential to change how public health research is conducted, improving the accuracy and efficacy of healthcare models. The widespread application of her research is likely to influence future healthcare policy and contribute to the development of more precise, data-driven medical treatments.

Legacy and Future Contributions: A Path to Continued Innovation đź”®

Dr. Jafari’s research journey is far from over. With numerous ongoing projects, she is poised to continue contributing to the field of biostatistics, machine learning, and meta-analysis. As a dedicated researcher, her future work promises to explore new frontiers in data analysis, helping to bridge the gap between complex statistical methods and practical healthcare applications. Dr. Jafari’s contributions will undoubtedly have a lasting impact on the way we analyze medical data, shaping the future of healthcare and biostatistics for years to come.

đź“š Publications

  • Title: The best drug supplement for obesity treatment: a systematic review and network meta-analysis
    Authors: N Salari, S Jafari, N Darvishi, E Valipour, M Mohammadi, K Mansouri, …
    Year: 2021

 

  • Title: Classifying patients with lumbar disc herniation and exploring the most effective risk factors for this disease
    Authors: S Jafari, T Dehesh, F Iranmanesh
    Year: 2019

 

  • Title: Diagnosis of borderline personality disorder based on Cyberball social exclusion task and resting-state fMRI: using machine learning approach as an auxiliary tool
    Authors: S Jafari, A Almasi, H Sharini, S Heydari, N Salari
    Year: 2023

 

  • Title: The best surgical treatment for cervical radiculopathy: a systematic review and network meta-analysis
    Authors: A Almasi, S Jafari, L Solouki, N Darvishi
    Year: 2023

 

  • Title: Radiomics-based machine learning for automated detection of Pneumothorax in CT scans
    Authors: H Alimiri Dehbaghi, K Khoshgard, H Sharini, S Jafari Khairabadi, …
    Year: 2024

 

  • Title: Diagnosis of traumatic liver injury on computed tomography using machine learning algorithms and radiomics features: The role of artificial intelligence for rapid diagnosis in …
    Authors: HA Dehbaghi, K Khoshgard, H Sharini, SJ Khairabadi
    Year: 2024

 

  • Title: A assessment of the effects of parental age on the development of autism in children: a systematic review and a meta-analysis
    Authors: T Dehesh, MA Mosleh-Shirazi, S Jafari, E Abolhadi, P Dehesh
    Year: 2024

 

Conclusion

Dr. Samira Jafari stands as a trailblazer in the field of biostatistics and machine learning, making invaluable contributions to healthcare research. Through her innovative integration of machine learning with biostatistical models, she has advanced our understanding of complex health data, paving the way for more accurate predictions and improved healthcare outcomes. With her extensive research experience and a clear commitment to bridging data analysis with real-world medical applications, Dr. Jafari is set to leave a lasting legacy in both academic and healthcare sectors.