Product Images Danziten
View Photos of Packaging, Labels & Appearance
- Danziten Inner carton 71mg - danziten 71mg inner carton label
- Danziten Outer carton 71mg - danziten 71mg outer carton label
- Danziten Inner carton 95mg - danziten 95mg inner carton label
- Danziten Outer carton 95mg - danziten 95mg outer carton label
- Danziten structure - danziten structure
- Figure-1 - figure 1
- Figure-2 - figure 2
Product Label Images
The following 7 images provide visual information about the product associated with Danziten NDC 24338-154 by Azurity Pharmaceuticals, Inc., 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.
Danziten Inner carton 71mg - danziten 71mg inner carton label
This is not-available.*
Danziten Outer carton 71mg - danziten 71mg outer carton label
Danziten Inner carton 95mg - danziten 95mg inner carton label
This is a pharmaceutical label for "Danziten" tablets containing nilotinib. The label provides information on the dosage, storage conditions, and the manufacturer's details. It includes instructions to dispense with the medication guide, details the content of each pack, and specifies the storage temperature range. The medication is in tablet form with a dosage strength of 95 mg. The text also mentions keeping the tablets away from moisture and heat.*
Danziten Outer carton 95mg - danziten 95mg outer carton label
Danziten structure - danziten structure
Figure-1 - figure 1
Figure-2 - figure 2
This is a statistical table showing data related to treatment-free survival percentage and time since therapy discontinuation. The table includes information on the number of events at different time points, censoring observations, and the number of at-risk individuals at each time interval. The data presents a snapshot of survival percentages at various weeks post-treatment cessation.*
* 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.
