Jane Paulsen | Clinical Neuroscience | Best Researcher Award

Published on by Neuroscientists

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.

Kareem Al-Khalil | Cognitive Neuroscience | Best Researcher Award

Published on by Neuroscientists

Dr. Kareem Al-Khalil | Cognitive Neuroscience | Best Researcher Award

Dr. Kareem Al-Khalil | University of Wisconsin – Madison | United States

Kareem I. Al-Khalil is a Multimodal Imaging Scientist at the Institute on Aging, University of Wisconsin-Madison, with extensive expertise in human development, family sciences, and neuroscience. He earned his Ph.D. in Human Development & Family Sciences, focusing on differences in brain activation and connectivity among college students with varying mathematical abilities, and holds dual M.Sc. degrees in Psychology and Experimental Psychology, as well as a B.Sc. in Biology. His professional trajectory spans postdoctoral research and associate positions at Duke University School of Medicine and the Mind Research Network, where he contributed to understanding neurocognitive processes in psychiatric and behavioral contexts. He has also served as a research analyst, teaching assistant, and graduate instructor, gaining substantial experience in experimental design, psychometrics, and cognitive neuroscience. Al-Khalil’s research contributions include peer-reviewed publications on connectomics, brain network disruption in HIV and substance use, and structural connectivity alterations associated with chronic cannabis use. His work has garnered a total of 201 citations, with an h-index of 8 and an i10-index of 7, reflecting his influence in the fields of cognitive neuroscience and neuroimaging. Through his research, he advances understanding of brain function, network connectivity, and cognitive processes in health and disease, integrating behavioral science with multimodal imaging approaches.

Profiles: Google Scholar | Linked In

Featured Publications

Al-Khalil, K., Vakamudi, K., Witkiewitz, K., & Claus, E. D. (2021). Neural correlates of alcohol use disorder severity among nontreatment‐seeking heavy drinkers: An examination of the incentive salience and negative emotionality domains of the … Alcoholism: Clinical and Experimental Research, 45(6), 1200–1214.

Hou, J., Rajmohan, R., Fang, D., Kashfi, K., Al-Khalil, K., Yang, J., & Westney, W. (2017). Mirror neuron activation of musicians and non-musicians in response to motion captured piano performances. Brain and Cognition, 115, 47–55.

Niehuis, S., Reifman, A., Al-Khalil, K., Oldham, C. R., Fang, D., & O’Boyle, M. (2019). Functional magnetic resonance imaging activation in response to prompts of romantically disillusioning events. Personal Relationships, 26(2), 209–231.

Gonzales, J. U., James, C. R., Yang, H. S., Jensen, D., Atkins, L., & Thompson, B. J. (2016). Different cognitive functions discriminate gait performance in younger and older women: A pilot study. Gait & Posture, 50, 89–95.

Calderon-Delgado, L., Barrera-Valencia, M., Noriega, I., & Al-Khalil, K. (2020). Implicit processing of emotional words by children with post-traumatic stress disorder: An fMRI investigation. International Journal of Clinical and Health Psychology, 20(1), 46–53.

Noriega, I., Trejos-Castillo, E., Chae, Y., & Calderon-Delgado, L. (2021). Emotional memory processing in post‐traumatic stress disorder affected Colombian youth. International Journal of Psychology, 56(3), 387–393.

Kashfi, K., Al-Khalil, K., Hou, J., Fang, D., Anderson, R., Rajmohan, R., & Syapin, P. (2017). Hyper-brain connectivity in binge drinking college students: A diffusion tensor imaging study. Neurocase, 23(3–4), 179–186.

Kashfi, K., Fang, D., Hou, J., Al-Khalil, K., Anderson, R., Syapin, P. J., & O’Boyle, M. W. (2017). Spatial attention in binge-drinking and moderate-drinking college students: An fMRI investigation. Alcoholism Treatment Quarterly, 35(3), 260–278.

Swartz, M., Burton, F., Vakamudi, K., Al-Khalil, K., Witkiewitz, K., & Claus, E. D. (2021). Age dependent neural correlates of inhibition and control mechanisms in moderate to heavy drinkers. NeuroImage: Clinical, 32, 102875.

Yue Ding | Cognitive Neuroscience | Best Researcher Award

Published on by Neuroscientists

Dr. Yue Ding | Cognitive Neuroscience | Best Researcher Award

Dr. Yue Ding | Shanghai Mental Health Center | China

Dr. Yue Ding is a distinguished neuroscientist and biomedical engineer whose research focuses on the neural mechanisms of music and rhythm-based interventions for affective and anxiety disorders, particularly in children and adolescents. With a Ph.D. in Neuroscience from Tsinghua University and a B.S. in Biomedical Engineering from Dalian University of Technology, Dr. Ding has extensive experience in both academic and industry settings, including leadership roles at Shanghai Mental Health Center, AI Institute at iFlytek, and Nielsen Consumer LLC, as well as a visiting scholar position at Johns Hopkins University. Dr. Ding’s research integrates neuroscience, artificial intelligence, and virtual reality to develop personalized interventions, including closed-loop music therapies, rhythm interactive training, and controllable music generation models, supported by numerous national and municipal grants. His work also explores neural oscillations in depression and anxiety, taste perception, and language impairments in Alzheimer’s patients. He is actively involved in professional organizations, including the Art Psychotherapy Committee, Music Psychology Committee, and editorial boards of prominent journals such as Scientific Reports and Frontiers in Psychiatry. With 17 published documents, Dr. Ding has garnered 228 citations and holds an h-index of 8, reflecting his influential contributions to the fields of neuroscience, neuroengineering, and mental health research.

Profiles: Scopus | Google Scholar | Linked In

Featured Publications

Ding, Y., Hu, X., Li, J., Ye, J., Wang, F., & Zhang, D. (2018). What makes a champion: The behavioral and neural correlates of expertise in multiplayer online battle arena games. International Journal of Human–Computer Interaction, 34(8), 682–694.

Ding, Y., Hu, X., Xia, Z., Liu, Y. J., & Zhang, D. (2021). Inter-brain EEG feature extraction and analysis for continuous implicit emotion tagging during video watching. IEEE Transactions on Affective Computing, 12(1), 92–102.

Ding, Y., Zhang, Y., Zhou, W., Ling, Z., Huang, J., Hong, B., & Wang, X. (2019). Neural correlates of music listening and recall in the human brain. Journal of Neuroscience, 39(41), 8112–8123.

Ding, Y., Chu, Y., Liu, M., Ling, Z., Wang, S., Li, X., & Li, Y. (2022). Fully automated discrimination of Alzheimer’s disease using resting-state electroencephalography signals. Quantitative Imaging in Medicine and Surgery, 12(2), 1063–1077.

Ding, Y., Gray, K., Forrence, A., Wang, X., & Huang, J. (2018). A behavioral study on tonal working memory in musicians and non-musicians. PLOS ONE, 13(8), e0201765.

Zhang, Y., Ding, Y., Huang, J., Zhou, W., Ling, Z., Hong, B., & Wang, X. (2021). Hierarchical cortical networks of “voice patches” for processing voices in human brain. Proceedings of the National Academy of Sciences of the United States of America, 118(44), e2103518118.

Sofia Gandolfi | Developmental Neuroscience | Best Researcher Award

Published on by Neuroscientists

Ms. Sofia Gandolfi | Developmental Neuroscience | Best Researcher Award

Ms. Sofia Gandolfi | Fondazione IRCCS Istituto Neurologico Carlo Besta | Italy

Ms. Sofia Gandolfi is an Italian Speech and Language Therapist specializing in the assessment and management of swallowing disorders, particularly in children with neurogenic and neuromuscular conditions such as Spinal Muscular Atrophy. She has gained extensive clinical experience at the Fondazione IRCCS Istituto Neurologico Carlo Besta in Milan, where she performs swallowing screenings, clinical evaluations, and develops individualized rehabilitation plans involving therapy, compensatory strategies, and dietary recommendations in collaboration with multidisciplinary teams that include neurologists, ENT specialists, gastroenterologists, dietitians, and physiotherapists. Her work emphasizes evidence-based interventions to enhance swallowing safety, efficiency, and quality of life for patients. Sofia also has experience in assessing and treating children and adults with neurodevelopmental and neurodegenerative disorders, both in outpatient settings and home-based care. Beyond clinical practice, she has contributed to research on swallowing physiology, intervention efficacy, and quality improvement initiatives in dysphagia services. She holds a Master of Science in Clinical Speech and Language Studies with a specialization in Dysphagia from Trinity College Dublin. Her academic contributions are reflected in 1 published document, 1 citation, and an h-index of 1, demonstrating her emerging engagement in research and her commitment to advancing clinical practices in speech and swallowing therapy.

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

Featured Publications

Mozzanica, F., Pizzorni, N., Gitto, M., Dosi, C., Mandelli, A., Gandolfi, S., & others. (2024). Fiberoptic endoscopic evaluation of swallowing (FEES) in children with spinal muscular atrophy type 1: Feasibility, swallowing safety and efficacy, and dysphagia phenotype. European Archives of Oto-Rhino-Laryngology, 281(12), 6523–6532.

Gandolfi, S., Dosi, C., Parravicini, S., Arnoldi, M. T., Zanin, R., Biagi, S., Rinaldi, L., & others. (2025). Exploring the trajectory of swallowing within psychomotor development in spinal muscular atrophy: Moving toward integrated care. Audiology Research.

Masson, R., Dosi, C., Parravicini, S., Scopelliti, M., Arnoldi, M., Zanin, R., & others. (2025). 519P The challenge of swallowing assessment in SMA1: Dysphagia clinical features and available assessment tools. Neuromuscular Disorders, 53, 105608.

Ricardo Osorio | Clinical Neuroscience | Best Researcher Award

Published on by Neuroscientists

Dr. Ricardo Osorio | Clinical Neuroscience | Best Researcher Award

Dr. Ricardo S. Osorio is a tenured Associate Professor of Psychiatry and Radiology at NYU Grossman School of Medicine, where he directs the Healthy Brain Aging and Sleep Center and serves as Director of the Biomarker Core within the NYU Alzheimer’s Disease Research Center. A physician-scientist, Dr. Osorio investigates the interplay of sleep, vascular, and inflammatory mechanisms in Alzheimer’s disease, integrating multimodal biomarkers, neuroimaging, and detailed clinical phenotyping. He has led several landmark studies, including trials on sleep apnea, amyloid and tau accumulation, brain energetics, and locus coeruleus dysfunction, exploring how sleep and metabolic factors influence cognitive decline and neurodegeneration. His work has significantly advanced translational biomarker development, assay harmonization, and inclusive recruitment in aging research. Dr. Osorio has published over 130 peer-reviewed articles in top journals such as JAMA Neurology, Annals of Neurology, Sleep, Alzheimer’s & Dementia, Lancet, and Brain, contributing to more than 8,369 citing documents, with a total citation count of 9,893 and an h-index of 44. He serves on multiple editorial boards, including Sleep Medicine Reports, and has provided expert peer review for leading journals worldwide. His collaborative network spans the NYU Alzheimer’s Disease Research Center, Mount Sinai, the ENIGMA-Sleep Consortium, and numerous national and international aging and sleep research initiatives, mentoring the next generation of clinician-scientists while shaping the field of sleep and neurodegeneration.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

  1. Author(s). (Year). Disordered sleep and painful diabetic neuropathy (PDN): A review of the literature on pathophysiology, pharmacologic and nonpharmacologic treatment options, and future directions. Journal Name, Volume(Issue), pages.

  2. Author(s). (2025). EEG slow oscillations and overnight spatial navigational memory performance in CPAP-treated obstructive sleep apnea. Sleep, Volume(Issue), pages.

  3. Author(s). (2025). High-frequency oscillations >250 Hz in people with Down syndrome and associated Alzheimer’s disease dementia. Alzheimer’s & Dementia, Volume(Issue), pages.

  4. Author(s). (2025). Impact of Alzheimer’s disease on sleep in adults with Down syndrome. Alzheimer’s & Dementia, Volume(Issue), pages.

  5. Author(s). (2025). Sleep-wake variation in body temperature regulates tau secretion and correlates with CSF and plasma tau. Journal of Clinical Investigation, Volume(Issue), pages.

  6. Author(s). (2025). The stability of slow-wave sleep and EEG oscillations across two consecutive nights of laboratory polysomnography in cognitively normal older adults. Journal of Sleep Research, Volume(Issue), pages.

  7. Author(s). (2025). Two-year longitudinal outcomes of subjective cognitive decline in Hispanics compared to non-Hispanic Whites. Journal of Geriatric Psychiatry and Neurology, Volume(Issue), pages.

  8. Author(s). (Year). Enhancing sleep, wakefulness, and cognition with transcranial photobiomodulation: A systematic review. Journal Name, Volume(Issue), pages.

  9. Author(s). (2024). The relationship between anxiety and levels of Alzheimer’s disease plasma biomarkers. Journal of Alzheimer’s Disease, Volume(Issue), pages.

  10. Author(s). (2024). The neutrophil to lymphocyte ratio associates with markers of Alzheimer’s disease pathology in cognitively unimpaired elderly people. Immunity and Ageing, Volume(Issue), pages.

Zhou Yu | Behavioral Neuroscience | Best Researcher Award

Published on by Neuroscientists

Dr. Zhou Yu | Behavioral Neuroscience | Best Researcher Award

Dr. Yu Zhou is a postdoctoral researcher at Army Engineering University, specializing in the intersection of neuroscience, computer vision, and target detection. His research primarily focuses on deceptive visual design for both human and machine perception, exploring how visual stimuli can influence detection, recognition, and cognitive processing. Zhou has conducted pioneering studies on camouflage and optical deception, utilizing EEG-based brain functional network analysis to evaluate target visibility and cognitive responses. His work integrates principles from weapon science, biomedical engineering, and computer science to develop comprehensive models of visual perception and deception. Representative publications include investigations into neural responses to camouflage targets with varying exposure signs, the impact of color differences on brain activation patterns, and feasibility assessments of optical camouflage effects. Through these studies, he contributes to a deeper understanding of how visual designs can manipulate human attention and computer vision systems, providing actionable insights for defense technology applications. Zhou’s research emphasizes rigorous quantitative evaluation methods, leveraging neurophysiological data to inform the design of effective deceptive visual patterns. With an h-index of 2 and multiple citations, his work demonstrates a growing influence in fields spanning neuroscience-informed computer vision, perceptual deception, and applied optical camouflage.

Profiles: Scopus | Reasearch Gate

Featured publication

Author(s). (2024). Neural responses to camouflage targets with different exposure signs based on EEG. Neuropsychologia.

Noreen Kamal | Translational Neuroscience | Best Researcher Award

Published on by Neuroscientists

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.

Congbo Cai | Neurotechnology | Best Researcher Award

Published on by Neuroscientists

Prof. Dr. Congbo Cai | Neurotechnology | Best Researcher Award

Prof. Dr. Congbo Cai | Xiamen University | China

Professor Congbo Cai is a distinguished researcher at the School of Electronic Science and Technology, Xiamen University, specializing in advanced Magnetic Resonance Imaging (MRI) technology development. His research encompasses ultra-fast imaging, multi-parametric quantitative MRI, deep learning reconstruction, novel neuroimaging techniques, and quantitative medical image analysis. He has led and contributed to numerous high-impact projects, including national key R&D programs, NSFC key projects, and international cooperative projects, with funding totaling several million yuan. His innovations include pioneering high-entropy encoding and overlapping-echo designs, enabling rapid, high-fidelity MRI mapping, and integrating physics-informed deep learning for enhanced image reconstruction and clinical applications. Professor Cai has published over 80 papers in leading journals such as NeuroImage, IEEE Transactions on Medical Imaging, and Medical Image Analysis. He holds 12 patents and serves on editorial boards, including Health and Metabolism, and as a guest editor for Frontiers in Neuroscience. His professional contributions extend to active membership and leadership roles in major MRI societies. His work has garnered significant academic recognition, with a citation count exceeding 2,300 across 872 documents, an h-index of 25, and an i10-index of 55. Professor Cai’s research continues to advance MRI science, bridging cutting-edge technology and clinical translation.

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

Featured publications

  • Author(s). (2018). Accelerating multi-slice spatiotemporally encoded MRI with simultaneous echo refocusing. Journal of Magnetic Resonance.

  • Author(s). (2018). Single-shot T2 mapping using overlapping-echo detachment planar imaging and a deep convolutional neural network. Magnetic Resonance in Medicine.

  • Author(s). (2018). Referenceless distortion correction of gradient-echo echo-planar imaging under inhomogeneous magnetic fields based on a deep convolutional neural network. Computers in Biology and Medicine.

  • Author(s). (2018). Weighted total variation using split Bregman fast quantitative susceptibility mapping reconstruction method. Chinese Physics B.

  • Author(s). (2018). Simultaneous single- and multi-contrast super-resolution for brain MRI images based on a convolutional neural network. Computers in Biology and Medicine.

  • Author(s). (2018). Motion-tolerant diffusion mapping based on single-shot overlapping-echo detachment (OLED) planar imaging. Magnetic Resonance in Medicine.

Nasar Ata | Neurology | Best Researcher Award

Published on by Neuroscientists

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

Published on by Neuroscientists

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.