Computational modeling of superparamagnetic nanoparticle-based (affinity) diagnostics
This computational model demonstrates the feasibility of using superparamagnetic nanoparticles in real-time, non-invasive diagnostic systems.
Authors
- Jonathan Cornacchini (ORCID: https://orcid.org/0009-0006-0294-4197)
- Korkut Uygun
- Haïzam Oubari (ORCID: https://orcid.org/0000-0001-8927-3707)
- Alexandre G. Lellouch (ORCID: https://orcid.org/0000-0001-8191-8662)
- Vlad Tereshenko (ORCID: https://orcid.org/0000-0001-7761-5191)
- Curtis L. Cetrulo (ORCID: https://orcid.org/0000-0001-7080-3894)
- Loïc Van Dieren (ORCID: https://orcid.org/0000-0003-0781-4691)
- Filip Thiessen EF
- Yanis Berkane
Institutions
- Cedars-Sinai Medical Center (US)
- Harvard University (US)
- University of Antwerp (BE)
- Inserm (FR)
- Université Paris Cité (FR)
- Massachusetts General Hospital (US)
- Antwerp University Hospital (BE)
- Ziekenhuisnetwerk Antwerpen Stuivenberg (BE)
- Centre Hospitalier Universitaire de Rennes (FR)
- Université de Rennes (FR)
Publication Details
- Journal
- Frontiers in Bioengineering and Biotechnology
- Published
- 2024-12-06
- DOI
- https://doi.org/10.3389/fbioe.2024.1500756
- Citations
- 1
- Primary Topic
- Characterization and Applications of Magnetic Nanoparticles
- Type
- article
- Field-Weighted Citation Impact
- 0.18
Funders
- National Science Foundation