Joshua Barzilay | Clinical Neuroscience | Best Researcher Award

Published on by Neuroscientists

Dr. Joshua Barzilay | Clinical Neuroscience | Best Researcher Award

Kaiser Permanente of Georgia, Emory School of Medicine | United States

Dr. Joshua I. Barzilay is a senior clinician–scientist and board-certified endocrinologist whose research spans diabetes, hypertension, cardiovascular disease, metabolic syndrome, and aging, integrating epidemiology with long-term clinical outcomes. His early work included oncology and hematology research, followed by a sustained focus on endocrine and metabolic disorders during his tenure at Kaiser Permanente of Georgia and Emory University School of Medicine. Dr. Barzilay has made influential contributions to large, multicenter clinical and population-based studies, including ALLHAT, ACCORD/ACCORDION, and the Cardiovascular Health Study, where he has served on steering committees and specialty working groups. His research has clarified the impact of glucose dysregulation, insulin resistance, and antihypertensive therapies on cardiovascular morbidity, mortality, and incident diabetes, particularly in older adults. A major theme of his work is the relationship between metabolic syndrome, frailty, autonomic function, and cardiovascular risk, providing evidence to guide treatment strategies in complex patients. In addition to his research, Dr. Barzilay has played a key role in national diabetes and hypertension guideline development, medical education, and dissemination of evidence-based care, shaping clinical practice across endocrinology and primary care.

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Citations
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h-index
58

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Featured Publications

Sana Boudabbous | Clinical Neuroscience | Women Researcher Award

Published on by Neuroscientists

Dr. Sana Boudabbous | Clinical Neuroscience | Women Researcher Award

Dr. Sana Boudabbous | University Hopssalitals of Geneva | Switzerland

Sana Boudabbous is a PD MD radiologist specializing in diagnostic and interventional musculoskeletal imaging, interventional radiology, and radiologic pain management, currently serving as Chief Head of the Musculoskeletal Radiology Unit and Chief of the MRI Sector in the Radiology Section of the Diagnosis Department at Geneva University Hospitals. She is also the Teaching Board Chief for postgraduate radiology education and the medical representative of the department within the Geneva University Hospitals pain network. As a Senior Lecturer at the University of Geneva, she has contributed extensively to academic teaching and clinical leadership. Her professional expertise includes membership on the Swiss National Sarcoma Advisory Board, involvement in the multidisciplinary spinal disease group at Geneva hospitals, and certified competencies in forensic age diagnostics and pain management. She has completed extensive advanced training in musculoskeletal radiology, interventional radiology, oncologic imaging, sports imaging, pelvic and breast imaging, and head and neck imaging across institutions in Switzerland, France, the Netherlands, and Tunisia. Her academic impact is reflected by a citation count of 1342, an h-index of 19, and an i10-index of 29, demonstrating her influential contributions to radiology research, education, and clinical practice.

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Featured Publications

Neroladaki, A., Botsikas, D., Boudabbous, S., Becker, C. D., & Montet, X. (2013). Computed tomography of the chest with model-based iterative reconstruction using a radiation exposure similar to chest X-ray examination: Preliminary observations. European Radiology, 23(2), 360–366.

Mundada, P., Kohler, R., Boudabbous, S., Toutous Trellu, L., Platon, A., & Becker, C. D., et al. (2017). Injectable facial fillers: Imaging features, complications, and diagnostic pitfalls at MRI and PET CT. Insights into Imaging, 8(6), 557–572.

Boudabbous, S., Arditi, D., Paulin, E., Syrogiannopoulou, A., Becker, C., & Montet, X. (2015). Model-based iterative reconstruction (MBIR) for the reduction of metal artifacts on CT. American Journal of Roentgenology, 205(2), 380–385.

Botsikas, D., Triponez, F., Boudabbous, S., Hansen, C., Becker, C. D., & Montet, X. (2014). Incidental adrenal lesions detected on enhanced abdominal dual-energy CT: Can the diagnostic workup be shortened by the implementation of virtual unenhanced images? European Journal of Radiology, 83(10), 1746–1751.

Botsikas, D., Bagetakos, I., Picarra, M., Da Cunha Afonso Barisits, A. C., Boudabbous, S., & Montet, X., et al. (2019). What is the diagnostic performance of 18-FDG-PET/MR compared to PET/CT for the N- and M-staging of breast cancer? European Radiology, 29(4), 1787–1798.

Mundada, P., Becker, M., Lenoir, V., Stefanelli, S., Rougemont, A. L., Beaulieu, J. Y., … & Boudabbous, S. (2019). High resolution MRI of nail tumors and tumor-like conditions. European Journal of Radiology, 112, 93–105.

Delattre, B. M. A., Boudabbous, S., Hansen, C., Neroladaki, A., Hachulla, A. L., Becker, C. D., & Montet, X. (2020). Compressed sensing MRI of different organs: Ready for clinical daily practice? European Radiology, 30(1), 308–319.

Malinauskaite, I., Hofmeister, J., Burgermeister, S., Neroladaki, A., Hamard, M., Boudabbous, S., … & Montet, X. (2020). Radiomics and machine learning differentiate soft‐tissue lipoma and liposarcoma better than musculoskeletal radiologists. Sarcoma, 2020(1), Article 7163453.