Product Images Bortezomib

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 10 images provide visual information about the product associated with Bortezomib NDC 68001-534 by Bluepoint Laboratories, 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.

Chemical Structure - bortezomib 01

Chemical Structure - bortezomib 01

Figure 1 - bortezomib 02

Figure 1 - bortezomib 02

Figure 2 - bortezomib 03

Figure 2 - bortezomib 03

Figure 3 - bortezomib 04

Figure 3 - bortezomib 04

Figure 4 - bortezomib 05

Figure 4 - bortezomib 05

This appears to be a table or chart comparing the number of patients remaining at different timepoints for two treatments, Bortezomib and Dexamethasone. The last row indicates a p-value obtained from a statistical test. However, without additional context, it is difficult to interpret what this data represents.*

Figure 5 - bortezomib 06

Figure 5 - bortezomib 06

This appears to be a chart or graph showing the number of patients who received two different treatments, R-CHOP and VcR-CAP, over a period of time measured in months. However, without more contextual information, it is difficult to determine the specifics of the data being presented.*

Figure 6 - bortezomib 07

Figure 6 - bortezomib 07

Bortezomib Label - image 01

Bortezomib Label - image 01

Bortezomib Carton - image 02

Bortezomib Carton - image 02

Bortezomib Sticker - image 03

Bortezomib Sticker - image 03

Bortezomib for Injection is a medication that is administered through subcutaneous and intravenous injection. The final concentration of the solution depends on the amount of 0.9% Sodium Chloride added. The package comes with stickers to label the vial or syringe. The full instructions for usage can be found in the Package Insert under Section 2.*

* 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.