Lei Zhang | Clinical Neuroscience | Research Excellence Award

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Prof. Lei Zhang | Clinical Neuroscience | Research Excellence Award

Prof. Lei Zhang | The First Affiliated Hospital of Wenzhou Medical University | China

Lei Zhang is a male Chinese orthopaedic surgeon and scientist, currently serving as Professor, Chief Director, and Master Supervisor in the Department of Orthopaedics at The First Affiliated Hospital of Wenzhou Medical University. He holds both M.D. and Ph.D. degrees from the School of Medicine, Zhejiang University, and specializes clinically in arthroplasty and sports medicine, with a scientific focus on tissue engineering for bone and cartilage repair. His international training includes fellowships at Graz University, Singapore General Hospital, WaldKrankenhaus Hospital in Bonn, Peking University Third Hospital, JST Hospital, and Ewha Womans University Seoul Hospital, reflecting broad exposure to advanced orthopaedic techniques and translational research. Professor Zhang is actively engaged in professional service, holding leadership and membership roles in multiple branches of the Zhejiang Medical Association and related orthopedic, sports medicine, and tissue repair societies. He also contributes to academic publishing as Chief Editor of special issues in Frontiers in Bioengineering and Biotechnology and as Associate Editor for the Injury Prevention and Rehabilitation specialty in Frontiers in Sports and Active Living. His scholarly output includes 89 published documents, with 4,362 total citations from 4,083 citing documents and an h-index of 28, demonstrating sustained impact in orthopaedics, sports medicine, and regenerative tissue engineering.

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Featured Publications

Hendry Ramly | Clinical Neuroscience | Research Excellence Award

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Dr. Hendry Ramly | Clinical Neuroscience | Research Excellence Award

Fiona Stanley | Australia

Dr. Hendry Ramly is a clinician–researcher with advanced training in general medicine, cardiology, and intensive care medicine, and a focused academic interest in non-traumatic out-of-hospital cardiac arrest and post-resuscitation care. His research is directly informed by frontline clinical practice across acute medicine, ICU, and cardiology, where he manages critically ill patients following cardiac arrest. Dr. Ramly’s primary research examines cardiovascular management strategies after return of spontaneous circulation, with particular emphasis on haemodynamic stabilisation, coronary pathology, and the timing and utility of urgent coronary angiography. Neurological outcomes are included as standard clinical endpoints, while the central focus remains on cardiovascular determinants of survival and in-hospital mortality. He is lead author of a retrospective observational cohort study published in Heart, Lung and Circulation (2025), evaluating outcomes of non-traumatic out-of-hospital cardiac arrest at a tertiary centre. His additional audit work includes thoracic surgical outcomes, geriatric referral pathways, and procedural adequacy in respiratory medicine. Through clinically driven research and multidisciplinary collaboration, Dr. Ramly aims to refine evidence-based pathways that improve survival, decision-making, and quality of care for patients following cardiac arrest.


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Hui Zhang | Clinical Neuroscience | Best Researcher Award

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Prof. Hui Zhang | Clinical Neuroscience | Best Researcher Award

Prof. Hui Zhang | Northwestern University | United States

Hui Zhang is a Professor in the Division of Biostatistics, Department of Preventive Medicine at Northwestern University Feinberg School of Medicine, where he also holds appointments at the Robert H. Lurie Comprehensive Cancer Center, the Mesulam Center for Cognitive Neurology and Alzheimer’s Disease, and the Center for Epidemiology and Population Health. he serves as Director of the Northwestern Brain Tumor SPORE Biostatistics and Bioinformatics Core and leads the Biostatistics and Data Management Core at the Mesulam Center. With a Ph.D. in Statistics from the University of Rochester, her academic foundation spans pharmacology, neurophysiology, and biology, reflecting her interdisciplinary expertise in biostatistics and biomedical research. His previous experience includes research roles at St. Jude Children’s Research Hospital, where she contributed significantly to clinical and statistical protocol development. Professor Zhang’s work focuses on statistical methodologies for cancer and neurological disease research, data integration, and bioinformatics applications. he is an active member of several professional societies, including the American Statistical Association and the International Chinese Statistical Association. A highly cited researcher, she has accumulated over 11,422 citations, an h-index of 43, and an i10-index of 100, demonstrating her substantial impact and leadership in the fields of biostatistics and medical data science.

Profile: Google Scholar

Featured Publications

Moss, A. J., Hall, W. J., Cannom, D. S., Klein, H., Brown, M. W., Daubert, J. P., et al. (2009). Cardiac-resynchronization therapy for the prevention of heart-failure events. New England Journal of Medicine, 361(14), 1329–1338.

Gunzler, D., Chen, T., Wu, P., & Zhang, H. (2013). Introduction to mediation analysis with structural equation modeling. Shanghai Archives of Psychiatry, 25(6), 390–394.

Wan, T., Jun, H. U., Pan, W. U., & Hua, H. E. (2015). Kappa coefficient: A popular measure of rater agreement. Shanghai Archives of Psychiatry, 27(1), 62–67.

Pu, J., Wang, S., Yin, Y., Zhang, G., Carter, R. A., Wang, J., Xu, G., Sun, H., Wang, M., et al. (2015). Evolution of the H9N2 influenza genotype that facilitated the genesis of the novel H7N9 virus. Proceedings of the National Academy of Sciences, 112(2), 548–553.

Guy, C. S., Vignali, K. M., Temirov, J., Bettini, M. L., Overacre, A. E., Smeltzer, M., et al. (2013). Distinct TCR signaling pathways drive proliferation and cytokine production in T cells. Nature Immunology, 14(3), 262–270.

Shen, S., Chen, X., Cai, J., Yu, J., Gao, J., Hu, S., Zhai, X., Liang, C., Ju, X., Jiang, H., et al. (2020). Effect of dasatinib vs imatinib in the treatment of pediatric Philadelphia chromosome–positive acute lymphoblastic leukemia: A randomized clinical trial. JAMA Oncology, 6(3), 358–366.

Sonabend, A. M., Gould, A., Amidei, C., Ward, R., Schmidt, K. A., Zhang, D. Y., et al. (2023). Repeated blood–brain barrier opening with an implantable ultrasound device for delivery of albumin-bound paclitaxel in patients with recurrent glioblastoma: A phase 1 trial. The Lancet Oncology, 24(5), 509–522.

Calixto Machado | Clinical Neuroscience | Best Researcher Award

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Prof. Dr. Calixto Machado | Clinical Neuroscience | Best Researcher Award

Prof. Dr. Calixto Machado | Institute of Neurology and Neurosurgery | Cuba

Calixto Machado is a Full Professor and Senior Researcher in Neurology and Clinical Neurophysiology at the Institute of Neurology and Neurosurgery in Havana, Cuba, and a Corresponding Fellow of the American Academy of Neurology. He completed his medical degree, followed by specialist training in neurology and clinical neurophysiology, and then earned his PhD. Over four decades he has led pioneering research on disorders of consciousness, brain death, stroke, autism, autonomic nervous system disorders and the neurological sequelae of SARS-CoV-2. He has published nearly 700 peer-reviewed journal articles, book chapters and authored seven books; his work is recognised internationally through numerous symposia and awards. His Google Scholar profile lists an h-index of 37, and over 24 000 citations across his published documents.

Profile: Google Scholar

Featured Publications:

Machado, C. (2025, September 9). Jahi McMath case: A comprehensive and updated narrative. World Journal of Critical Care Medicine, 14(3), 107513.

Machado, C. (2022). The Jahi McMath case: First detailed study of her brain. Neurology India, 70(5), 22–35.

Giacino, J. T., Ashwal, S., Childs, N., Cranford, R., Jennett, B., Katz, D. I., Kelly, J. P., & others. (2002). The minimally conscious state: Definition and diagnostic criteria. Neurology, 58(3), 349–353.

Sloan, M. A., Alexandrov, A. V., Tegeler, C. H., Spencer, M. P., Caplan, L. R., & others. (2004). Assessment: Transcranial Doppler ultrasonography report of the Therapeutics and Technology Assessment Subcommittee of the American Academy of Neurology. Neurology, 62(9), 1468–1481.

Machado, C. (2002). Brain death worldwide: Accepted fact but no global consensus in diagnostic criteria. Neurology.

Machado, C. (2007). Cerebral response to patient’s own name in the vegetative and minimally conscious states. Neurology, 69(7), 708.

Machado, C., Korein, J., Ferrer, Y., Portela, L., & others. (2007). The concept of brain death did not evolve to benefit organ transplants. Journal of Medical Ethics, 33, 197–200.

Machado, C. (2007). The concept of brain death did not evolve to benefit organ transplants. In C. Machado (Ed.), Brain death: A reappraisal (pp. 1–20). Springer.

Machado, C. (2007). Brain death: A reappraisal. Springer Science & Business Media.

Machado, C. (2007). The first organ transplant from a brain-dead donor. In C. Machado (Ed.), Brain death: A reappraisal (pp. 1–20). Springer.

Machado, C. (2010). Diagnosis of brain death. Neurology International, 2(1), e2.

Graf, W. D., Miller, G., Epstein, L. G., & Rapin, I. (2017). The autism “epidemic”: Ethical, legal, and social issues in a developmental spectrum disorder. Neurology, 88(14), 1371–1380.

Machado, C., Korein, J., Aubert, E., Bosch, J., Alvarez, M. A., Rodríguez, R., & others. (2007). Recognizing a mother’s voice in the persistent vegetative state. Clinical EEG and Neuroscience, 38(3), 124–126.

Lewis, A., Bernat, J. L., Blosser, S., Bonnie, R. J., Epstein, L. G., Hutchins, J., & others. (2018). An interdisciplinary response to contemporary concerns about brain death determination. Neurology, 90(9), 423–426.*

Kathrin Eichinger | Clinical Neuroscience | Outstanding Contribution Award

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Dr. Kathrin Eichinger | Clinical Neuroscience | Outstanding Contribution Award 

Dr. Kathrin Eichinger | Medizinische Universitat Wien | Austria

Dr. Med. Kathrin Eichinger is an Austrian physician specializing in Pediatrics and Pediatric Neurology, currently serving as a Consultant in Child and Adolescent Medicine with subspecialty training in Neuropediatrics at the Medical University of Vienna. Her clinical and academic focus lies in neuroimmunology, with ongoing doctoral research in neuroscience examining acute necrotizing encephalitis. Dr. Eichinger’s experience spans several leading medical institutions, including Sankt Anna Children’s Hospital and the Hospital of the Brothers of Mercy in Eisenstadt, complemented by an observership in Neurointensive Care and Neuroimmunology at the Children’s Hospital of Philadelphia. She has also contributed to clinical research through her involvement in the eSMART randomized controlled trial on electronic symptom management at the Medical University of Vienna. Her expertise is further supported by certification in pediatric EEG and active participation in numerous neuropediatric congresses and workshops across Europe. Multilingual in German, English, and Spanish, Dr. Eichinger combines her clinical acumen with strong research engagement, reflected in her growing academic footprint with an h-index of 3, five peer-reviewed documents, and approximately 45 citations. Her professional pursuits integrate advanced clinical training, translational neuroscience, and a dedication to improving pediatric neurocare.

Profile: Orcid

Featured Publications

  • Eichinger, K., Breu, M., Renken, M., Siegert, S., Hilz, E., Glatter, S., Csaicsich, D., Boehm, M., Lechner, C., Kornek, B., et al. (2025). Complications of therapeutic plasma exchange in pediatric neuroimmune disorders. Children, 12(11), 1457.

  • Grasl, S., Janik, S., Dressler, A., Diehm, R., Gröppel, G., Eichinger, K., Grasl, M. C., Gstoettner, W., Feucht, M., Vyskocil, E., et al. (2021). Management and outcome of vagus nerve stimulator implantation: Experience of an otolaryngeal/neuropediatric cooperation. European Archives of Oto-Rhino-Laryngology, 278(10), 3729–3738.

Seyyed Ali Zendehbad | Clinical Neuroscience | Best Researcher Award

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Dr. Seyyed Ali Zendehbad | Clinical Neuroscience | Best Researcher Award

Dr. Seyyed Ali | Zendehbad University of Mazandaran | Iran

Dr. Seyyed Ali Zendehbad is a multidisciplinary researcher specializing in biomedical signal processing, cognitive computational neuroscience, and neurorehabilitation technologies. His research integrates deep learning, pattern recognition, and multimodal biological data modeling to enhance fatigue detection and neurorehabilitation systems. He has authored several peer-reviewed papers in reputable journals such as Scientific Reports, IEEE Access, Sensing and Bio-Sensing Research, and Healthcare Technology Letters, focusing on hybrid AI frameworks, EMG signal processing, and muscle synergy-based biofeedback mechanisms. Dr. Zendehbad’s work on developing intelligent rehabilitation systems, including his models like TraxVBF and FatigueNet, contributes to advancing telemonitoring and assistive technologies for neurological recovery. His scholarly output includes more than 25 documents, over 600 citations, and an h-index of 12, reflecting his growing impact in computational neuroscience and biomedical engineering. Recognized for innovation, he has achieved first-place awards in multiple national startup competitions and was honored with the Best Poster Award at the Congress of Neurology and Clinical Electrophysiology of Iran. As a postdoctoral researcher at the University of Mazandaran, his ongoing work emphasizes integrating trustworthy AI into telehealth systems, promoting equitable and efficient digital healthcare delivery through interdisciplinary research and technological innovation.

Profile: Orcid

Featured Publications

1. Mazrooei Rad, E., Mazinani, S. M., & Zendehbad, S. A. (2025). Diagnosis of Alzheimer’s disease using non-linear features of ERP signals through a hybrid attention-based CNN-LSTM model. Computer Methods and Programs in Biomedicine Update, 5, 100192.

2. Zendehbad, S. A., Sharifi Razavi, A., Tabrizi, N., & Sedaghat, Z. (2025). A systematic review of artificial intelligence techniques based on electroencephalography analysis in the diagnosis of epilepsy disorders: A clinical perspective. Epilepsy Research, 207, 107582.

3. Mazrooei Rad, E., Zendehbad, S. A., & Hosseinzadeh, V. (2025). Fetal QRS complex detection based on adaptive filters and peak detection. Research on Biomedical Engineering, 41(3), 424–438.

4. Zendehbad, S. A., Ghasemi, J., & Samsami Khodadad, F. (2025). FatigueNet: A hybrid graph neural network and transformer framework for real-time multimodal fatigue detection. Scientific Reports, 15(1), 640.

5. Safdel, A., Zendehbad, S. A., & Ghasemi, J. (2025). Advanced deep learning approaches for accurate and efficient suspicious behavior detection in surveillance videos. Computational Sciences and Engineering, 21(2), 1099.

Jane Paulsen | Clinical Neuroscience | Best Researcher Award

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Prof. Dr. Jane Paulsen | Clinical Neuroscience | Best Researcher Award

Prof. Dr. Jane Paulsen | University of Wisconsin Madison | United States

Dr. Jane S. Paulsen, Ph.D., is a Professor of Neurology and Vice Chair for Research at the University of Wisconsin–Madison, where she also contributes to the Department of Neurosciences Graduate Program. Her expertise lies in cognitive, psychiatric, and imaging correlates of neuropsychiatric disorders, with a strong focus on the early detection of brain diseases and the development of innovative methods for clinical trials. She has significantly advanced the understanding of genetic discrimination and the discovery and validation of biological and clinical markers of brain disease, incorporating neuroimaging and omics-based outcomes into her research. Dr. Paulsen completed her Ph.D. in Counseling Psychology at the University of Iowa, followed by postdoctoral training in Neuropsychology at the University of California, San Diego, where she worked on Alzheimer’s and geriatric psychiatry research. Over her career, she has held key positions including Director of the Huntington’s Disease Clinical Research Program at UCSD and has contributed extensively to advancing neuropsychological research and clinical applications. Her scholarly impact includes 4 published documents, 78 citations from 77 documents, and an h-index of 3, reflecting her influence in the fields of neurology, neuropsychology, and cognitive neuroscience.

Profiles: Scopus | Google Scholar | Reserach Gate | linked In

Featured Publications

Sachdev, P. S., Blacker, D., Blazer, D. G., Ganguli, M., Jeste, D. V., Paulsen, J. S., & Petersen, R. C. (2014). Classifying neurocognitive disorders: The DSM-5 approach. Nature Reviews Neurology, 10(11), 634–642.

Ross, C. A., Aylward, E. H., Wild, E. J., Langbehn, D. R., Long, J. D., Warner, J. H., & Paulsen, J. S. (2014). Huntington disease: Natural history, biomarkers and prospects for therapeutics. Nature Reviews Neurology, 10(4), 204–216.

Paulsen, J. S., Langbehn, D. R., Stout, J. C., Aylward, E., Ross, C. A., Nance, M., & Shoulson, I. (2008). Detection of Huntington’s disease decades before diagnosis: The Predict-HD study. Journal of Neurology, Neurosurgery & Psychiatry, 79(8), 874–880.

Langbehn, D. R., Brinkman, R. R., Falush, D., Paulsen, J. S., Hayden, M. R., & International Huntington’s Disease Collaborative Group. (2004). A new model for prediction of the age of onset and penetrance for Huntington’s disease based on CAG length. Clinical Genetics, 65(4), 267–277.

Levy, M. L., Cummings, J. L., Fairbanks, L. A., Masterman, D., Miller, B. L., Craig, A. H., & Paulsen, J. S. (1998). Apathy is not depression. The Journal of Neuropsychiatry and Clinical Neurosciences, 10(3), 314–319.

Sachdev, P., Kalaria, R., O’Brien, J., Skoog, I., Alladi, S., Black, S. E., Blacker, D., & Paulsen, J. S. (2014). Diagnostic criteria for vascular cognitive disorders: A VASCOG statement. Alzheimer Disease & Associated Disorders, 28(3), 206–218.

Palmer, B. W., Heaton, R. K., Paulsen, J. S., Kuck, J., Braff, D., Harris, M. J., & Zisook, S. (1997). Is it possible to be schizophrenic yet neuropsychologically normal? Neuropsychology, 11(3), 437–446.

Plis, S. M., Hjelm, D. R., Salakhutdinov, R., Allen, E. A., Bockholt, H. J., Long, J. D., & Calhoun, V. D. (2014). Deep learning for neuroimaging: A validation study. Frontiers in Neuroscience, 8, 229.

Mohamed, S., Paulsen, J. S., O’Leary, D., Arndt, S., & Andreasen, N. (1999). Generalized cognitive deficits in schizophrenia: A study of first-episode patients. Archives of General Psychiatry, 56(8), 749–754.

Paulsen, J. S., Ready, R. E., Hamilton, J. M., Mega, M. S., & Cummings, J. L. (2001). Neuropsychiatric aspects of Huntington’s disease. Journal of Neurology, Neurosurgery & Psychiatry, 71(3), 310–314.

Noreen Kamal | Translational Neuroscience | Best Researcher Award

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Assoc. Prof. Dr. Noreen Kamal | Translational Neuroscience | Best Researcher Award

Assoc. Prof. Dr. Noreen Kamal | Dalhousie University | Canada

Dr. Noreen Kamal, Ph.D., P.Eng., is an Associate Professor of Industrial Engineering at Dalhousie University, Canada, with cross-appointments in the Departments of Community Health and Epidemiology and Medicine (Neurology). Her research lies at the intersection of health systems engineering and clinical neuroscience, focusing on the optimization of stroke care systems, development of data-driven quality improvement frameworks, and evaluation of biomedical devices for stroke rehabilitation. Dr. Kamal has played a pivotal role in advancing integrated approaches to enhance the efficiency, safety, and accessibility of acute stroke services across Canada. Prior to joining Dalhousie University, she held academic and leadership positions at the University of Calgary and the University of British Columbia, contributing extensively to clinical research and health technology innovation. Her work bridges engineering, medicine, and health policy, emphasizing interdisciplinary collaboration and patient-centered outcomes. With 107 scientific publications, 8,033 citations, and an h-index of 22, Dr. Kamal has established herself as a recognized scholar in healthcare systems improvement and translational neuroscience. Her scholarly and professional contributions continue to drive evidence-based innovation in stroke systems of care, supporting better clinical outcomes and sustainable health service delivery.

Profiles: Scopus | Google Scholar | Research Gate | Linked In

Featured Publications

Author(s). (2025). Exploring differences in stroke treatment between urban and rural hospitals: A thematic analysis of practices in Canada. Canadian Journal of Neurological Sciences.

Author(s). (2025). Designing a patient outcome clinical assessment tool for modified Rankin Scale: “You feel the same way too”. Informatics.

Author(s). (2025). Predicting ischemic stroke patients to transfer for endovascular thrombectomy using machine learning: A case study. Healthcare (Switzerland).

Author(s). (2025). Incident prescriptions for common cardiovascular medications: Comparison of recent versus pre-2020 medication adherence and discontinuation in three universal health care systems. BMC Cardiovascular Disorders.

Author(s). (2025). Rising out-of-hospital mortality in Canada during 2020–2022: A striking impact observed among young adults. Canadian Journal of Public Health.

Author(s). (2025). Discrete event simulation model of an acute stroke treatment process at a comprehensive stroke center: Determining the ideal improvement strategies for reducing treatment times. Journal of the Neurological Sciences.

Author(s). (2025). Validation of the Passive Surveillance Stroke Severity Score in three Canadian provinces. Canadian Journal of Neurological Sciences.

Author(s). (2025). A stochastic optimization model for designing disaster relief networks with congestion, disruption and distributional ambiguity. Infor.

Author(s). (2025). Improving access and efficiency of acute ischemic stroke treatment across four Canadian provinces: A stepped-wedge trial. Frontiers in Neurology.

Author(s). (2025). The acute stroke system of treatment across Canada: Findings from a national stroke centre survey. Canadian Journal of Neurological Sciences.

Nasar Ata | Neurology | Best Researcher Award

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Mr. Nasar Ata | Neurology | Best Researcher Award

Dr. S. M. Nasar Ata is a researcher in the Department of Neurology at Henry Ford Hospital, Detroit, USA, specializing in artificial intelligence applications in neuroscience. His work focuses on developing machine learning and soft computing–based algorithms such as CNN, ANN, SVM, and MLR for detecting and predicting brain-based disorders, including Multiple Sclerosis. He integrates metabolomics and imaging clinical data to identify biomarkers and construct predictive models for neurological and metabolic diseases. Dr. Ata collaborates with research centers such as JNMC and IBRC AMU on brain tumor prediction from MRI data and with RCDR AMU on diabetes-related model development. His research contributions include several submitted papers on metabolite prediction, deep learning in brain tumor detection, and molecular mechanisms underlying neurodegeneration and cancer. He has also authored the textbook Basics of Bio-Sciences and actively participates in scientific discussions and editorial work. With 3 published documents, 7 citations, and an h-index of 2, Dr. Ata’s growing research profile reflects his commitment to advancing data-driven neurological diagnostics through AI and biostatistical innovation.

Profiles: Scopus | Research Gate

Featured Publication

Corrigendum to “Artificial neural network-based prediction of multiple sclerosis using blood-based metabolomics data” [Multiple Sclerosis and Related Disorders, 92, 105942 (2024)]. (2024). Multiple Sclerosis and Related Disorders, 95, 106321.

Chahra Chbili | Clinical Neuroscience | Best Researcher Award

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Assist. Prof. Dr. Chahra Chbili | Clinical Neuroscience | Best Researcher Award

Assist. Prof. Dr. Chahra Chbili | University of Sousse | Tunisia

Dr. Chahra Chbili is an Assistant Professor of Pharmacology at the Higher School of Health Sciences and Techniques of Sousse (ESSTSS) and a member of the Research Laboratory of Metabolic Biophysics and Applied Pharmacology (LR/12ES02) at the Faculty of Medicine Ibn El Jazzar of Sousse, Tunisia. Her academic journey spans extensive training in biological sciences, genetics, and medical biotechnology, with a Ph.D. earned with highest honors for her work on the pharmacokinetic and pharmacogenetic study of carbamazepine therapy in epileptic and bipolar patients. Dr. Chbili’s research focuses on pharmacogenetics, pharmacokinetics, and the molecular mechanisms underlying drug efficacy and toxicity. She has contributed significantly to studies exploring the genetic determinants of drug metabolism, including investigations into glutathione-S-transferases in tuberculosis patients with drug-induced hepatotoxicity. Skilled in advanced laboratory techniques such as PCR, FISH, ELISA, and HPLC-MS, she has developed expertise in integrating molecular biology with clinical pharmacology. Dr. Chbili has authored 17 scientific documents, accumulated 138 citations across 123 indexed works, and maintains an h-index of 7, reflecting her impactful contributions to pharmacological and biomedical research in Tunisia and beyond.

Profiles: Scopus | Orcid | Research Gate

Featured Publications

Chbili, C., Mrad, S., Graiet, H., Selmi, M., Maatoug, J., Maoua, M., Abdellaoui, L., Mrizek, N., Nouira, M., Ben Fredj, M., et al. (2024). Randomized, placebo-controlled pilot study investigating the effects of Laurus nobilis tea on lipid profiles and oxidative stress biomarkers in healthy North African volunteers. The North African Journal of Food and Nutrition Research, 8(17), 86–98.

Chbili, C., Fathallah, N., Laadhari, C., Ouni, B., Saguem, S., Ben Fredj, M., Abdelghani, A., Ben Saad, H., & Ben Salem, C. (2022). Glutathione-S-transferase genetic polymorphism and risk of hepatotoxicity to antitubercular drugs in a North-African population: A case-control study. Gene, 808, 146019.

Rebai, A., Chbili, C., Ben Amor, S., Hassine, A., Ben Ammou, S., & Saguem, S. (2021). Effects of glutathione S-transferase M1 and T1 deletions on Parkinson’s disease risk among a North African population. Revue Neurologique, 177(1–2), 93–99.

Chbili, C. (2021, August 22). The effect of Origanum majorana tea on motor and non-motor symptoms in patients with idiopathic Parkinson’s disease: A randomized controlled pilot study. Journal article.

Chbili, C., Maoua, M., Selmi, M., Mrad, S., Khairi, H., Limem, K., Mrizek, N., Saguem, S., & Ben Fredj, M. (2020). Evaluation of daily Laurus nobilis tea consumption on lipid profile biomarkers in healthy volunteers. Journal of the American College of Nutrition, 39(6), 518–526.

Rebai, A., Reçber, T., Nemutlu, E., Chbili, C., Kurbanoglu, S., Kir, S., Ben Amor, S., Özkan, S. A., & Saguem, S. (2020). GC-MS based metabolic profiling of Parkinson’s disease with glutathione S-transferase M1 and T1 polymorphism in Tunisian patients. Combinatorial Chemistry and High Throughput Screening, 23(8), 785–794.