Image File (Img0001)
Panzyga
Product Images NDC 68982-820
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 9 technical images submitted to the FDA as part of the official labeling for Panzyga (NDC 68982-820). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Octapharma 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.
Image File (Img0002)
Image File (Img0003)
Image File (Img0004)
Image File (Img0005)
Image File (Img0006)
Description: This is an output of a pharmaceutical product named "Immune Globulin Intravenous (Human)", manufactured by Octapharma. The text contains some information related to the product's concentration and packaging, however, the text is not comprehensive.*
Image File (Img0007)
The text appears to be a list of various products that are related to immune globulin intravenous therapies, with details regarding different variants and concentrations of the products.*
Image File (Img0008)
This is a package for Immune Globulin Intravenous. It contains three separate products: one labeled Guman 201G, one labeled Hma 209, and one labeled Gman 1209. They are all for intravenous use, meaning they are intended to be given through a vein. All three are labeled as having been solvent and detergent-treated, and all are 200mL in volume. There is limited details available in this text.*
Image File (Img0009)
This appears to be a product description for a medication called Panzyga. It is an immune globulin intravenous solution, containing 10% Cias. The solution comes in a 300mL bottle and has been treated with a detergent. The text mentions the product in various languages, but does not provide any additional information beyond what has been stated.*
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.
