4.6 Article

A Decision Support System for preclinical assessment of nanomaterials in medical products: the REFINE DSS

Journal

DRUG DELIVERY AND TRANSLATIONAL RESEARCH
Volume 12, Issue 9, Pages 2101-2113

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s13346-022-01145-2

Keywords

Nanomaterials; Decision Support System; Intelligent testing strategy; Safety assessment

Funding

  1. European Union [761104]

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The application of nanomaterials in medicine has great potential, but the translation of these technologies to clinical practice faces challenges. To support the development and clinical implementation of nanotechnology-enabled health products, the REFINE project has developed a Decision Support System (DSS) to assist developers in preclinical assessment and intelligent testing, improving efficiency.
The application of nanomaterials in medicine has led to novel pharmaceuticals and medical devices that have demonstrated a strong potential for increasing the efficacy/performance and safety of therapeutic and diagnostic procedures to address a wide range of diseases. However, the successful translation of these technologies from their inception (proof-of-concept) to clinical practice has been challenged by substantial gaps in the scientific and technical capacity of R&D companies, especially SMEs, to keep up with the ever-evolving regulatory expectations in the emerging area of nanomedicine. To address these challenges, the EU Horizon 2020 project REFINE has developed a Decision Support System (DSS) to support developers of nanotechnology-enabled health products in bringing their products to the clinic. The REFINE DSS has been developed to support experts, innovators, and regulators in the implementation of intelligent testing strategies (ITS) for efficient preclinical assessment of nanotechnology-enabled health products. The DSS applies logical rules provided by REFINE experts which generate prioritized lists of assays to be performed (i.e. ITSs) for physicochemical characterisation and for immunotoxicological endpoints. The DSS has been tested against several case studies and was validated by internal project experts as well as external ones.

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