Epysqli Injection, Solution
Product Images NDC 51759-208

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Epysqli (NDC 51759-208). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Teva Pharmaceuticals Usa, Inc., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Principal Display Panel (30 mL Vial Label)

This text provides information about a medication called Epysali, specifically the NDC number, dosage, administration instructions, storage requirements, and manufacturer details. This medication is an injectable solution for intravenous infusion that needs to be diluted before use. The text underscores the need to discard the unused portion and store the medication refrigerated in its original container to protect it from light. Additionally, it mentions that the solution should not be frozen or shaken. The manufacturer is identified as Teva Pharmaceuticals and was manufactured by Samsung Bioepis Co. Ltd.*

FDA Label Image

Principal Display Panel (30 mL Vial Carton)

This text contains detailed information about a medication called Eculizumab-aagh. It includes details about its composition, storage instructions, dilution requirements, and manufacturer information. The medication is an injection designed for intravenous infusion and should be stored refrigerated. The text also mentions that the unopened vial can be stored at room temperature for a short period. Additionally, it provides information about the country of manufacture (Republic of Korea) and instructions for pharmacists regarding storage and administration. This medication is produced by Teva Pharmaceuticals and manufactured by Samsung Bioepis Co. Ltd.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.