Cargando…
Interpreting Adverse Signals in Diabetes Drug Development Programs
Detection and interpretation of adverse signals during preclinical and clinical stages of drug development inform the benefit-risk assessment that determines suitability for use in real-world situations. This review considers some recent signals associated with diabetes therapies, illustrating the d...
Autor principal: | Bailey, Clifford J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Diabetes Association
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3687324/ https://www.ncbi.nlm.nih.gov/pubmed/23695817 http://dx.doi.org/10.2337/dc13-0182 |
Ejemplares similares
-
Interpretable Drug-to-Drug Network Features for Predicting Adverse Drug Reactions
por: Zhou, Fangyu, et al.
Publicado: (2023) -
Adverse drug reactions in drug information databases: does presentation affect interpretation?
por: McConachie, Sean M., et al.
Publicado: (2020) -
Predicting adverse drug reactions through interpretable deep learning framework
por: Dey, Sanjoy, et al.
Publicado: (2018) -
Thyroid-Disrupting Chemicals: Interpreting Upstream Biomarkers of Adverse Outcomes
por: Miller, Mark D., et al.
Publicado: (2009) -
Computerized techniques pave the way for drug-drug interaction prediction and interpretation
por: Safdari, Reza, et al.
Publicado: (2016)