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

Rachna Garg | Cognitive Neuroscience | Excellence in Research Award

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Ms. Rachna Garg | Cognitive Neuroscience | Excellence in Research Award

Ms. Rachna Garg | Tecnia Institute of Advanced Studies under GGSIPU | India

Ms. Rachna Garg is an accomplished Assistant Professor and Psychologist at Tecnia Institute of Advanced Studies, Delhi, bringing over a decade of experience in teaching, research, and psychological training. She is pursuing a Ph.D. in Psychology from Amity University, Gwalior, with a research focus on elderly mental health, resilience, and mindfulness-based cognitive interventions. She holds dual MBAs in Human Resource Management and Marketing, an MA in Psychology, and a B.Com (Hons) from Delhi University, reflecting a strong interdisciplinary background. Her scholarly output includes multiple international publications, book chapters, and research papers indexed in SCOPUS, Web of Science, and UGC-CARE. She has authored four book chapters with ISBNs and completed two major research projects on elderly mental health, alongside an ongoing Ph.D. empirical study. Her contributions extend to extensive training programs for MCD, NDMC, DIET, and SCERT educators, where she has delivered modules on communication, conflict management, learning disabilities, and sexual literacy. She has served as Convener for a notable Faculty Development Program on Indian Knowledge Systems. With an h-index of 1, a total of 10 documents, and 5 citations across ResearchGate and Google Scholar, she continues to advance impactful psychological research. She also holds editorial and reviewer roles in multiple reputed journals.

Profiles: Scopus | Orcid

Featured Publications

Garg, R. (2025, October 9). Rewiring the aging mind: A randomized controlled trial on the transformative impact of mindfulness-based cognitive behavioural therapy on depression and anxiety. Journal of Ecophysiology and Occupational Health.

Garg, R. (2025, September 13). Group-based mindfulness-based cognitive behavioral intervention for enhancing resilience and preventing depression and anxiety in at-risk elderly: A randomized controlled trial. Journal of Rational-Emotive & Cognitive-Behavior Therapy.

Garg, R. (2025, July 2). Evaluating the impact of mindfulness practices on depression, anxiety, and stress in geriatric populations: A randomized control trial. The Learning Curve, (ISSN 2321-7057).

Garg, R., Awasthi, S., & Gupta, N. (2025, January 2). The role of a 10-week mindfulness-based cognitive behavioral therapy intervention in managing depression, anxiety, and stress among the elderly: A quasi-experimental study. Journal of Neonatal Surgery, 14(21s). https://doi.org/10.63682/jns.v14i21s.5344

Garg, R., Awasthi, S., & Gupta, N. (2024, November). Mindfulness meets aging: The transformative power of mindfulness and cognitive behavioral interventions for mental health in the golden years. Indian Journal of Psychology, (ISSN 0019-5553).

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.

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.

Chun-An Cheng | Translational Neuroscience | Lifetime achievement Award

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Assist. Prof. Dr. Chun-An Cheng | Translational Neuroscience | Lifetime achievement Award

Assist. Prof. Dr. Chun-An Cheng | Tri-Service General Hospital | Taiwan

Assistant Professor Dr. Chun-An Cheng is a distinguished researcher affiliated with the Tri-Service General Hospital, Taiwan, known for his significant contributions to medical and clinical research. He has authored 73 scholarly documents, which have collectively garnered 658 citations across 620 publications, reflecting the wide impact and recognition of his scientific work. With an h-index of 14, Dr. Cheng has demonstrated consistent research productivity and influence within his field. His research encompasses multidisciplinary areas in clinical medicine, focusing on advancing diagnostic methodologies, therapeutic innovations, and patient-centered healthcare strategies. Through his collaborations and publications, Dr. Cheng has contributed to improving the understanding of complex medical conditions and enhancing evidence-based clinical practices. His dedication to translational research bridges the gap between laboratory findings and clinical applications, reinforcing his role as a key figure in the Taiwanese medical research community. Dr. Cheng continues to drive impactful studies that promote innovation, patient safety, and improved health outcomes, positioning him as a leading voice in contemporary clinical science.

Profiles: Scopus | Orcid | Research Gate

Featured Publications

  • (2025). Effects of exposure to air pollution and cold weather on acute myocardial infarction mortality. Atmosphere.

  • (2025). The risk of ischemic stroke in patients with chronic obstructive pulmonary disease and atrial fibrillation. Life.

  •  (2024). Increased risk of psychiatric disorder in patients with hearing loss: A nationwide population-based cohort study. Journal of Translational Medicine.

  • (2024). Diabetes mellitus and gynecological and inflammation disorders increased the risk of pregnancy loss in a population study. Life.

  • (2024). The influence of fine particulate matter and cold weather on emergency room interventions for childhood asthma. Life.

  • (2024). Impact of foodborne disease in Taiwan during the COVID-19 pandemic. Medicina (Lithuania).

  • (2024). Analyzing COVID-19 and air pollution effects on pediatric asthma emergency room visits in Taiwan. Toxics.

Victoria Carter | Emerging Areas in Neuroscience | Best Researcher Award

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Dr. Victoria Carter | Emerging Areas in Neuroscience | Best Researcher Award

Dr. Victoria Carter | VCA West Coast Vet Hospital | United States

Victoria Carter is a highly skilled small-animal internal-medicine clinician and researcher whose diverse training and leadership reflect her commitment to veterinary excellence. After earning a BSc (Hons) in Biological Science from the University of Guelph in Canada, followed by a DVMS (Bachelor of Veterinary Medicine & Surgery) from the Royal (Dick) School of Veterinary Studies in Edinburgh (where she received multiple awards including the CEVA Dermatology Prize and the Outstanding Student Leadership Award), she completed internships, a residency in Small Animal Internal Medicine at the University of Pennsylvania – Matthew J. Ryan Veterinary Hospital, and now serves as one of the lead internal medicine clinicians at the VCA West Coast Specialty & Emergency Animal Hospital in Fountain Valley, CA. Her clinical repertoire includes advanced endoscopic procedures (gastroduodenoscopy, ileocolonoscopy, bronchoscopy, rhinoscopy, cystoscopy/vaginoscopy and tracheoscopy) and she is experienced in high-volume inpatient and outpatient settings, collaborating across hospital services to tailor diagnostics and care plans for complex cases. Her research interests include immune-mediated diseases, such as primary immune-mediated neutropenia in the context of an earlier-diagnosed Evans syndrome in dogs (Carter & Silvestrini, Vet Rec Case Rep) and a retrospective international study on hypercobalaminaemic cats in progress under mentor Paolo Silvestrini MSc, PhD, DECVIM(CA). She has authored [DOCUMENTS-COUNT] publications, amassed [CITATIONS-COUNT] citations, and holds an h-index of [H-INDEX]. A native Canadian, fluent in English and French, she brings strong leadership, communication and interpersonal skills — especially in high-pressure environments — and fosters a positive, collaborative veterinary team culture while building excellent relationships with clients and patients.

Profile: Orcid

Featured Publication

Carter, V., & Silvestrini, P. (2025, September 24). Primary immune‐mediated neutropenia as part of a relapse of previously diagnosed Evans syndrome in a dog. Veterinary Record Case Reports.

Kareem Al-Khalil | Cognitive Neuroscience | Best Researcher Award

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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.

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.