Product Images Ahzantive
View Photos of Packaging, Labels & Appearance
- carton - Carton label
- Vial Label - Vial label
- Figure 2 - ahzantive 02
- figure 3 - ahzantive 03
- figure 4a - ahzantive 04
- figure 4b - ahzantive 05
- figure 5 - ahzantive 06
- figure 6 - ahzantive 07
- figure 7a - ahzantive 08
- figure 7b - ahzantive 09
- figure 8 - ahzantive 10
- figure 9 - ahzantive 11
- figure 10 - ahzantive 12
- figure 11 - ahzantive 13
- figure 12 - ahzantive 14
- Figure 1 - correct ahzantive fig07 3
Product Label Images
The following 16 images provide visual information about the product associated with Ahzantive NDC 85006-2908 by Valorum Biologics, Llc, 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.
Vial Label - Vial label
The text provides information about a medication named Ahzantivem Rx, which is aflibercept-mrbb injection used for intravitreal use. It is specified as a single-dose vial that needs to be refrigerated. The text also includes details on the lot and expiration date printing format, manufacturing information, and specifications for label design like font type, size, and color details.*
figure 7b - ahzantive 09
This text appears to be describing instructions for dosing a solution using a flat plunger edge after removing air bubbles and excess drug. The recommended dose is 0.05 mL.*
figure 8 - ahzantive 10
This is a table showing the mean change in visual acuity over a period of 96 weeks for two different views (view 1 and view 2) and two different treatments (Aflibercept 2mg every 8 weeks and Ranibizumab 0.5mg every 4 weeks). The visual acuity measurements are provided at different time points in weeks.*
figure 9 - ahzantive 11
This text appears to contain a mix of characters and does not form a coherent description. The content is not available for evaluation.*
* 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.