Dalila Scaturro | Biological Networks | Best Researcher Award

Published on by Network Science

Best Researcher Award

Dalila Scaturro
Università degli Studi di Palermo, Italy

Dalila Scaturro
Affiliation Università degli Studi di Palermo
Country Italy
Scopus ID 56156164000
Documents 56
Citations 665
h-index 15
Subject Area Biological Networks
Event International Research Awards on Network Science & Graph Analytics
ORCID 0000-0002-5035-2288

Dalila Scaturro is an Italian researcher affiliated with the Università degli Studi di Palermo whose scholarly activities encompass rehabilitation medicine, musculoskeletal disorders, peripheral neuropathies, and interdisciplinary biomedical research. Her publication portfolio demonstrates sustained engagement with evidence-based rehabilitation approaches and clinical outcomes assessment. Through collaborative research efforts, she has contributed to studies addressing pain management, robotic-assisted orthopedic rehabilitation, systematic reviews, and rehabilitation sciences, supporting advancements in patient-centered healthcare and translational clinical practice.[1]

Abstract

This article summarizes the academic profile and research achievements of Dalila Scaturro. Her work is characterized by multidisciplinary collaboration across rehabilitation medicine, musculoskeletal health, orthopedic recovery, and neurological rehabilitation. Through clinical investigations and systematic reviews, she has contributed to the understanding of therapeutic interventions and rehabilitation outcomes while supporting evidence-based healthcare practices.[2]

Keywords

Rehabilitation Medicine, Biological Networks, Musculoskeletal Disorders, Clinical Research, Peripheral Neuropathies, Evidence-Based Healthcare, Orthopedic Rehabilitation, Systematic Reviews.

Introduction

Modern rehabilitation science increasingly relies on interdisciplinary collaboration and clinical evidence. Dalila Scaturro has participated in investigations examining rehabilitation outcomes, pain management strategies, and orthopedic interventions. Her scholarly record reflects a commitment to translating scientific findings into practical applications that may improve patient recovery and functional performance.[3]

Research Profile

With 56 indexed documents, 665 citations, and an h-index of 15, Scaturro has established a measurable scholarly presence within biomedical and rehabilitation research. Her publication record demonstrates engagement with clinical investigations, systematic reviews, and multidisciplinary healthcare studies. These metrics indicate sustained scientific productivity and visibility within her research community.[1]

Research Contributions

  • Investigation of exercise and mesotherapy approaches for neck pain associated with fibromyalgia.
  • Assessment of rehabilitation outcomes following robot-assisted total knee arthroplasty.
  • Contribution to systematic reviews on peripheral neuropathy rehabilitation and nerve repair.
  • Evaluation of intra-articular botulinum toxin interventions for knee osteoarthritis.
  • Research on scoliosis, body mass relationships, and musculoskeletal health outcomes.

Publications

  1. Neck pain in Fibromyalgia: treatment with exercise and mesotherapy. Biomedicines, 2023.
  2. Rehabilitation approach in robot assisted total knee arthroplasty: an observational study. BMC Musculoskeletal Disorders, 2023.
  3. The Role of Physical Exercise and Rehabilitative Implications in the Process of Nerve Repair in Peripheral Neuropathies: A Systematic Review. Diagnostics, 2023.
  4. Intra-Articular Injection of Botulinum Toxin for the Treatment of Knee Osteoarthritis. International Journal of Molecular Sciences, 2023.
  5. Is there relationship between idiopathic scoliosis and body mass? A scoping review. Nutrients, 2022.

Research Impact

The research contributions associated with Scaturro demonstrate relevance to clinical rehabilitation, musculoskeletal medicine, and healthcare outcomes. Her studies support evidence synthesis and clinical decision-making through observational research and systematic reviews. The citation record further indicates scholarly engagement with her published findings across related biomedical disciplines.[4]

Award Suitability

Dalila Scaturro’s publication output, citation performance, and collaborative research contributions align with the objectives of the International Research Awards on Network Science & Graph Analytics. Her multidisciplinary work demonstrates scientific rigor, sustained productivity, and contributions to healthcare knowledge dissemination. These characteristics support consideration for academic recognition within international research forums.[5]

Conclusion

Dalila Scaturro has developed a research portfolio focused on rehabilitation sciences, orthopedic recovery, and evidence-based clinical practice. Her scholarly activities, publication record, and measurable research impact illustrate continued engagement with contemporary biomedical challenges and support her standing within the academic community.[6]

References

  1. Elsevier. (n.d.). Scopus author details: Dalila Scaturro, Author ID 56156164000. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56156164000
  2. Scaturro, D., et al. (2023). Neck pain in Fibromyalgia: treatment with exercise and mesotherapy. Biomedicines.
  3. Scaturro, D., et al. (2023). Rehabilitation approach in robot assisted total knee arthroplasty: an observational study. BMC Musculoskeletal Disorders.
  4. Chiaramonte, R., et al. (2023). The Role of Physical Exercise and Rehabilitative Implications in the Process of Nerve Repair in Peripheral Neuropathies. Diagnostics.
  5. Sconza, C., et al. (2023). Intra-Articular Injection of Botulinum Toxin for the Treatment of Knee Osteoarthritis. International Journal of Molecular Sciences.
  6. Scaturro, D., et al. (2022). Is there relationship between idiopathic scoliosis and body mass? A scoping review. Nutrients.

Anastasia Bougea | Biological Networks | Innovative Research Award

Published on by Network Science

Innovative Research Award

Anastasia Bougea
National and Kapodistrian University of Athens

Anastasia Bougea
Affiliation National and Kapodistrian University of Athens
Country Greece
Scopus ID 55629725400
Documents 136
Citations 2352
h-index 27
Subject Area Biological Networks
Event International Research Awards on Network Science & Graph Analytics
ORCID 0000-0003-3006-8711

Anastasia Bougea is a Greek researcher affiliated with the National and Kapodistrian University of Athens whose scholarly work spans neurology, neurodegenerative diseases, clinical neuroscience, digital health, and data-driven approaches to understanding complex biological systems. Her publication record demonstrates sustained contributions to Parkinson’s disease, dementia-related disorders, neuropsychological assessment, and emerging machine-learning methodologies in healthcare research.[1] Through interdisciplinary investigations integrating clinical evidence, neurological biomarkers, and computational analysis, her research aligns with contemporary developments in biological network science and translational medicine.[2]

Abstract

This article summarizes the academic profile of Anastasia Bougea and evaluates her suitability for recognition through the Innovative Research Award. Her body of work reflects a multidisciplinary approach linking neurological disorders, clinical diagnostics, machine learning, mobile health technologies, and molecular mechanisms of neurodegeneration. The scope and continuity of her contributions indicate an active engagement with contemporary biomedical challenges and network-oriented approaches to disease understanding.[3]

Keywords

Biological Networks, Neurodegenerative Diseases, Parkinson’s Disease, Machine Learning, Clinical Neuroscience, Mobile Health, Dementia, Alpha-Synuclein, Biomarkers, Graph Analytics.

Introduction

Research into neurodegenerative diseases increasingly relies on interconnected biological data, computational modeling, and predictive analytics. Anastasia Bougea’s scholarly activities contribute to this evolving landscape through studies addressing disease mechanisms, clinical assessment tools, and technology-assisted healthcare solutions. Her work demonstrates the integration of biomedical knowledge with analytical methods relevant to modern network science applications.[4]

Research Profile

With 136 indexed publications, 2,352 citations, and an h-index of 27, Bougea has established a substantial academic presence. Her research portfolio encompasses Parkinson’s disease, dementia with Lewy bodies, frontotemporal dementia, non-coding RNA therapeutics, and digital health technologies. Her publication activity reflects sustained engagement with peer-reviewed international journals and collaborative research initiatives.[1]

Research Contributions

  • Applied machine learning techniques for predicting multiple system atrophy and progressive supranuclear palsy.
  • Investigated therapeutic opportunities involving non-coding RNAs in neurodegenerative diseases.
  • Reviewed molecular pathways associated with alpha-synuclein and GBA1-related neurological disorders.
  • Explored mobile health technologies supporting Parkinson’s disease management.

Publications

  • Machine learning-based prediction of multiple system atrophy and progressive supranuclear palsy using clinical and neuropsychological scores (2026).
  • Targeting Non-Coding RNAs as a Potential Therapeutic and Delivery Strategy Against Neurodegenerative Diseases (2026).
  • Role of Alpha-Synuclein in Frontotemporal Dementia: Narrative Review (2026).
  • Underlying Mechanisms of GBA1 in Parkinson’s Disease and Dementia with Lewy Bodies (2025).
  • Mobile Health Technologies for the Management of Parkinson’s Disease (2025).

Research Impact

The impact of Bougea’s research is reflected through citation activity, interdisciplinary relevance, and practical implications for neurological healthcare. Her studies support improved understanding of disease progression, digital monitoring technologies, and predictive clinical tools. These contributions help bridge translational research with patient-centered applications and data-driven decision-making frameworks.[5]

Award Suitability

Anastasia Bougea demonstrates characteristics commonly associated with innovative research recognition, including interdisciplinary scholarship, measurable scientific impact, and continued publication productivity. Her integration of machine learning, molecular neuroscience, and mobile health technologies contributes to emerging approaches within biological networks and graph-informed biomedical analysis. These achievements provide a strong basis for consideration within the International Research Awards on Network Science & Graph Analytics.[6]

Conclusion

Bougea’s academic record reflects sustained contributions to neuroscience and neurodegenerative disease research. Her work combines clinical relevance with analytical innovation, supporting advancements in predictive medicine and network-based biomedical understanding. The breadth of her scholarly output and demonstrated impact support recognition within an international research award framework.

References

  1. Elsevier. (n.d.). Scopus author details: Anastasia Bougea, Author ID 55629725400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=55629725400
  2. Bougea, A. (2026). Machine learning-based prediction of multiple system atrophy and progressive supranuclear palsy using clinical and neuropsychological scores.
    DOI: https://doi.org/10.1016/j.bnd.2026.02.002
  3. Bougea, A. (2026). Targeting Non-Coding RNAs as a Potential Therapeutic and Delivery Strategy Against Neurodegenerative Diseases.
    DOI: https://doi.org/10.3390/ijms27073260
  4. Bougea, A. (2026). Role of Alpha-Synuclein in Frontotemporal Dementia: Narrative Review.
    DOI: https://doi.org/10.3390/cells15050470
  5. Bougea, A. (2025). Underlying Mechanisms of GBA1 in Parkinson’s Disease and Dementia with Lewy Bodies.
    DOI: https://doi.org/10.3390/genes16121496
  6. Bougea, A. (2025). Mobile Health Technologies for the Management of Parkinson’s Disease.
    DOI: https://doi.org/10.1080/14737175.2025.2580468