Olfa Trabelsi | Personalized Medicine | Women Researcher Award

Women Researcher Award

Olfa Trabelsi
University of Technology of Compiègne, France

Olfa Trabelsi
Affiliation University of Technology of Compiègne
Country France
Scopus ID 36025990200
Documents 29
Citations 685
h-index 13
Subject Area Personalized Medicine
Event International Top Pharmaceutical Awards
ORCID 0000-0003-4415-8478

Olfa Trabelsi is a researcher affiliated with the University of Technology of Compiègne in France and is recognized for interdisciplinary research activities within biomedical engineering and personalized medicine. Her academic work combines computational mechanics with biological applications and demonstrates integration between engineering concepts and medical analysis. Bibliometric indicators and publication records indicate continuing contributions in tissue engineering and patient-specific modeling studies.[1]

Abstract

This article summarizes the academic profile and scientific contributions associated with Olfa Trabelsi. Research activities mainly involve computational biomechanics, tissue engineering applications, and biomedical modeling methodologies. Scientific outputs further indicate interdisciplinary collaborations designed to improve analytical approaches used in personalized medical systems and healthcare technologies.[2]

Keywords

Personalized Medicine, Biomedical Engineering, Biomechanics, Tissue Engineering, Computational Modeling, Medical Simulation, Patient-Specific Analysis.

Introduction

Current advances in healthcare increasingly rely on computational and patient-centered methodologies for diagnostic and therapeutic improvements. Olfa Trabelsi has participated in research environments involving biomedical analysis and engineering applications designed for clinical relevance. Such studies contribute toward the understanding of tissue behavior and individualized medical systems.[3]

Research Profile

According to ORCID records, Olfa Trabelsi currently serves as an Associate Professor at the University of Technology of Compiègne and has academic experience in biomechanics and computational mechanics research. Educational activities include doctoral studies in computational mechanics and multidisciplinary biomedical applications.[4]

Research Contributions

Research contributions include computational analysis of biological tissues, mechanical characterization studies, and predictive modeling techniques. Published investigations have focused on tracheal systems, vascular biomechanics, tissue remodeling processes, and personalized therapeutic assessment methods.[5]

Publications

Publication records demonstrate collaborative research across multiple biomedical disciplines and engineering frameworks. Scientific articles include computational bone remodeling studies, tissue engineering analysis, aneurysm prediction models, and tracheal mechanical simulations. Published works further illustrate integration between clinical requirements and engineering methodologies within patient-specific biomedical systems.

Research Impact

Citation statistics indicate measurable influence across scientific communities and interdisciplinary domains. The available bibliometric indicators suggest continuing relevance of published work and recognition through citations, collaborative outputs, and international dissemination activities.

Award Suitability

Academic metrics and scientific activities suggest alignment with criteria commonly associated with international research recognition programs. Contributions involving personalized medicine and biomedical technologies support consideration within broader scientific achievement categories.

Conclusion

Olfa Trabelsi represents an academic profile characterized by multidisciplinary investigation and continuing scientific activity. Research outputs demonstrate integration of engineering principles with healthcare technologies and support continuing development of personalized biomedical systems.

References

  1. Trabelsi, O., Duprey, A., Favre, J.P., & Avril, S. (2016). Predictive models with patient specific material properties for the biomechanical behavior of ascending thoracic aneurysms. Annals of Biomedical Engineering.
    https://doi.org/10.1007/s10439-015-1374-8
  2. Trabelsi, O., Davis, F.M., Rodriguez-Matas, J.F., Duprey, A., & Avril, S. (2015). Patient specific stress and rupture analysis of ascending thoracic aneurysms. Journal of Biomechanics.
    https://doi.org/10.1016/j.jbiomech.2015.04.035
  3. Trabelsi, O., et al. (2022). A simple and effective 1D-element discrete-based method for computational bone remodeling. Computer Methods in Biomechanics and Biomedical Engineering.
    https://doi.org/10.1080/10255842.2021.1943370
  4. Trabelsi, O., et al. (2020). In vitro histomechanical effects of enzymatic degradation in carotid arteries during inflation tests with pulsatile loading. Journal of Mechanical Behavior of Biomedical Materials.
    https://doi.org/10.1016/j.jmbbm.2019.103550
  5. Ruben, R.B., Carvalho, M., & Trabelsi, O. (2026). Biomechanics Analysis in Tissue Engineering. Bioengineering.
    https://doi.org/10.3390/bioengineering13060703

Assist Prof Dr.Francesco Asnica, Personalized Medicine,Best Researcher Award

Assist Prof Dr.Francesco Asnica,Personalized Medicine ,Best Researcher Award

Assist Prof Dr.Francesco Asnica, at Department CIBIO, University of TrentDepartment CIBIO, University of Trento,Italy

Author Profile

 

Education

  • Ph.D. in Information Technology – Transdisciplinary Programme in Computational Biology (cum laude), University of Trento, Italy (May 2019)
    • Thesis: “A phylogenetic framework for large-scale analysis of microbial communities”
    • Supervisors: Prof. Enrico Blanzieri and Prof. Nicola Segata
  • Master of Science in Computer Science, University of Trento, Italy (October 2014)
    • Thesis: “PhyloPhlAn2 and GraPhlAn: novel reconstruction and visualization tools for large-scale whole-genome phylogenomics”
    • Supervisors: Prof. Enrico Blanzieri and Prof. Nicola Segata
  • Bachelor of Science in Computer Science, University of Trento, Italy (March 2012)
    • Thesis: “Installazione e Test di Estensioni Grafiche Real-time per Debian GNU/Linux”
    • Supervisor: Prof. Luca Abeni

Awards and Honors

  • Highly Cited Researcher 2023 & 2022 in Cross-Field by Clarivate™
  • Member of the Gruppo 2003 per la Ricerca Scientifica since 2023
  • Euregio Young Researcher Award 2022 (Second Place)
  • Co-recipient of the X PRÊMIO 2019 – Prêmio Octavio Frias de Oliveira
  • Doctor Darwin Prize 2017

Fellowships & Scholarships

  • Travel Grant for BITS 2018
  • Summer School Grant for the Second European Summer School on Nutrigenomics 2016
  • Travel Scholarship for ISMB/ECCB 2015

Invited Talks

Dr. Asnicar has delivered numerous invited talks at prestigious conferences and symposiums, including:

  • 9th Central European Congress of Life Sciences Eurobiotech 2024
  • 10th International Human Microbiome Consortium Congress 2024
  • IBS Days 2024
  • DF/HCC Microbiome Symposium Workshop 2024
  • 6th HCMPH Annual Symposium – Microbiome and Cancer 2024

Organized Workshops

  • Workshop on Data Standards, Interoperability, and Model Organisms in Microbiome Research (2023)
  • Workshop on Establishing Consensus for Microbiome Analysis Standards (2023)

🎓Publication Top Noted:

Paper Title : QIIME 2: reproducible, interactive, scalable, and extensible microbiome data science. PeerJ

  • Authors: Evan Bolyen, Jai Ram Rideout, Matthew R Dillon, Nicholas A Bokulich, Christian Abnet, Gabriel A Al-Ghalith, H Alexander, EJ Alm, M Arumugam, F Asnicar, Y Bai, JE Bisanz, K Bittinger, A Brejnrod, CJ Brislawn, CT Brown, BJ Callahan, AM Caraballo-Rodríguez, J Chase, JG Caporaso
  • Journal:Inc
  • Year: 2018
Paper Title : Microbiome connections with host metabolism and habitual diet from 1,098 deeply phenotyped individuals
    • Authors :  Francesco Asnicar, Sarah E Berry, Ana M Valdes, Long H Nguyen, Gianmarco Piccinno, David A Drew, Emily Leeming, Rachel Gibson, Caroline Le Roy, Haya Al Khatib, Lucy Francis, Mohsen Mazidi, Olatz Mompeo, Mireia Valles-Colomer, Adrian Tett, Francesco Beghini, Leonard Dubois, Davide Bazzani, Andrew Maltez Thomas, Chloe Mirzayi, Asya Khleborodova, Sehyun Oh, Rachel Hine, Christopher Bonnett, Joan Capdevila, Serge Danzanvilliers, Francesca Giordano, Ludwig Geistlinger, Levi Waldron, Richard Davies, George Hadjigeorgiou, Jonathan Wolf, José M Ordovás, Christopher Gardner, Paul W Franks, Andrew T Chan, Curtis Huttenhower, Tim D Spector, Nicola Segata
    • Journal:Nature medicine
    • Year: 2021
Paper Title :Human postprandial responses to food and potential for precision nutrition
  • Authors: Sarah E Berry, Ana M Valdes, David A Drew, Francesco Asnicar, Mohsen Mazidi, Jonathan Wolf, Joan Capdevila, George Hadjigeorgiou, Richard Davies, Haya Al Khatib, Christopher Bonnett, Sajaysurya Ganesh, Elco Bakker, Deborah Hart, Massimo Mangino, Jordi Merino, Inbar Linenberg, Patrick Wyatt, Jose M Ordovas, Christopher D Gardner, Linda M Delahanty, Andrew T Chan, Nicola Segata, Paul W Franks, Tim D Spector
  • Journal:Nature medicine
  • Year:2020
Paper Title :Strain-level microbial epidemiology and population genomics from shotgun metagenomics
  • Authors: Matthias Scholz, Doyle V Ward, Edoardo Pasolli, Thomas Tolio, Moreno Zolfo, Francesco Asnicar, Duy Tin Truong, Adrian Tett, Ardythe L Morrow, Nicola Segata
  • Journal:Nature methods
  • Year: 2016

Paper Title :Ketogenic diet and ketone bodies enhance the anticancer effects of PD-1 blockade

  • Authors: Gladys Ferrere, Maryam Tidjani Alou, Peng Liu, Anne-Gaëlle Goubet, Marine Fidelle, Oliver Kepp, Sylvère Durand, Valerio Iebba, Aurélie Fluckiger, Romain Daillère, Cassandra Thelemaque, Claudia Grajeda-Iglesias, Carolina Alves Costa Silva, Fanny Aprahamian, Déborah Lefevre, Liwei Zhao, Bernhard Ryffel, Emeline Colomba, Monica Arnedos, Damien Drubay, Conrad Rauber, Didier Raoult, Francesco Asnicar, Tim Spector, Nicola Segata, Lisa Derosa, Guido Kroemer, Laurence Zitvogel
  • Journal: JCI insight
  • Year: 2021