Product Images Vidaza

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 6 images provide visual information about the product associated with Vidaza NDC 59572-102 by Celgene Corporation, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

AzacitidineStructuralFormula

AzacitidineStructuralFormula

image 01

image 01

The given text is a graph showing the proportion surviving in time (months) from randomization. It also includes Log-Rank p-value and HR (Hazard ratio) with their confidence intervals. The deaths in two different groups are also mentioned namely Aza (82 deaths) and CCf. The rest of the text is not readable.*

Principal Display Panel - 100 mg Vial Label - vidaza 03

Principal Display Panel - 100 mg Vial Label - vidaza 03

Vidaza (azacitidine for injection) is a sterile medication used for subcutaneous and intravenous administration. The single-use vial contains 100mg azacitidine and 100mg mannitol. This medicine should be used in accordance with the prescribing information for administration and dosage. Discard unused portions, and store in a controlled room environment with excursions permitted at 25-30°C (77-86°F).*

Principal Display Panel - 100 mg Carton Label - vidaza 04

Principal Display Panel - 100 mg Carton Label - vidaza 04

Principal Display Panel - 100 mg Vial Label - vidaza 05

Principal Display Panel - 100 mg Vial Label - vidaza 05

Description: This is a label of a medication called Pazacitidine. It is a single-use vial containing 100 mg Pazacitidine and 100mg Mannil. The medication is meant for subcutaneous and intravenous use only. The label also includes information on dosing, administration, storage, and safe disposal of unused medication.*

Principal Display Panel - 100 mg Carton Label - vidaza 06

Principal Display Panel - 100 mg Carton Label - vidaza 06

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.