Avertissement: Ce site agrège des données publiques officielles provenant de la FDA, ClinicalTrials.gov, PubMed et SEC EDGAR à titre de référence générale uniquement. Il ne constitue pas un avis médical, un diagnostic, une recommandation de traitement ni un conseil en investissement.

PubMed

Medical device similarity analysis: a promising approach to medical device equivalence regulation.

PMID : 39300713 ·

J, a, n, , S, ü, n, d, e, r, m, a, n, n, ;, , J, o, a, q, u, i, n, , D, e, l, g, a, d, o, , F, e, r, n, a, n, d, e, z, ;, , R, u, p, e, r, t, , K, e, l, l, n, e, r, ;, , T, h, e, o, d, o, r, , D, o, l, l, ;, , U, l, r, i, c, h, , P, , F, r, o, r, i, e, p, ;, , A, n, n, e, t, t, e, , B, i, t, s, c, h

RevueExpert review of medical devices
Année
PMID39300713

Résumé

This study aims to facilitate the identification of similar devices for both, the European Medical Device Regulation (MDR) and the US 510(k) equivalence pathway by leveraging existing data. Both are related to the regulatory pathway of read across for chemicals, where toxicological data from a known substance is transferred to one under investigation, as they aim to streamline the accreditation process for new devices and chemicals. This study employs latent semantic analysis to generate similar

Source officielle

Voir sur PubMed →

Données issues de PubMed / NCBI. Pour le texte intégral et les informations les plus récentes, consultez toujours la notice officielle.

↑