Cargando…
Regulatory Considerations on the use of Machine Learning based tools in Clinical Trials
BACKGROUND: The widespread increasing use of machine learning (ML) based tools in clinical trials (CTs) impacts the activities of Regulatory Agencies (RAs) that evaluate the development of investigational medicinal products (IMPs) in clinical studies to be carried out through the use of data-driven...
Autores principales: | Massella, Maurizio, Dri, Diego Alejandro, Gramaglia, Donatella |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9638313/ https://www.ncbi.nlm.nih.gov/pubmed/36373014 http://dx.doi.org/10.1007/s12553-022-00708-0 |
Ejemplares similares
-
Quality Assessment of Investigational Medicinal Products in COVID-19 Clinical Trials: One Year of Activity at the Clinical Trials Office
por: Dri, Diego Alejandro, et al.
Publicado: (2021) -
Surfactants, Nanomedicines and Nanocarriers: A Critical Evaluation on Clinical Trials
por: Dri, Diego Alejandro, et al.
Publicado: (2021) -
Critical Analysis and Quality Assessment of Nanomedicines and Nanocarriers in Clinical Trials: Three Years of Activity at the Clinical Trials Office
por: Dri, Diego Alejandro, et al.
Publicado: (2022) -
Nanomedicines and nanocarriers in clinical trials: surfing through regulatory requirements and physico-chemical critical quality attributes
por: Dri, Diego Alejandro, et al.
Publicado: (2022) -
Biosimilars: Key regulatory considerations and similarity assessment tools
por: Kirchhoff, Carol F., et al.
Publicado: (2017)