Product Images Saizen
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 35 images provide visual information about the product associated with Saizen NDC 44087-1005 by Emd Serono, 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.
The text describes different parts of a medical device used for packaging Saizen medication. It includes a plunger neck, transfer unit, cartridge holder, vial connector, and sterility seal. The image seems to be a technical diagram of the device.*
This is a product label for Saizen, a somatropin injection. The lot number is 12345 and the expiration date is JUL-2019. The label includes instructions to not reuse the product.*
Saizen is a prescription medicine available in the form of injection containing 5mg somatropin. It is meant for administering subcutaneously. The package includes one vial of Saizen and one vial of Bacteriostatic Water for Injection, USP containing 0.9% Benzyl Alcohol. The National Drug Code for this package is 44087-1005-2.*
Saizen 8.8mg is a medication used for injection through subcutaneous means often the prescription is only intended for use of the patient. The medication contains somatropin and comes with one vial of bacteriostatic water for injection containing 0.9% benzyl alcohol. It's recommended to be used with caution and only under the supervision of a doctor. The product is available only through prescription, which contains NDC 44087-1088-1.*
This is a description of the drug called "Saizen" which contains "somatropin" and is for injection use only. The box comes with a reconstitution kit and should only be used with designated Saizen delivery devices. The drug comes in a 8.8 mg vial with a cartridge of diluent, and the drug concentration delivered is approximately 5.83 mg/mL. This drug is only available with a prescription.*
* 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.