Siliq Injection
Product Images NDC 0187-0004

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 13 technical images submitted to the FDA as part of the official labeling for Siliq (NDC 0187-0004). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Bausch Health Us Llc, 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

Siliq (brodalumab) Injection 210 mg/1.5 mL Label (Carton)

Siliq (brodalumab) Injection 210 mg/1.5 mL Label (Carton)
SILIQ is a medication provided in a single-dose prefilled syringe containing brodalumab in a solution with a specific storage requirement. It should be stored refrigerated at 2 to 8 degrees Celsius in its original carton to prevent any damage. Shake the syringe, where shaking is not advised. If necessary, SILIQ can be stored at a maximum of 77°F (25°C) at room temperature in its original carton for a maximum single Injection. Medication care in dermatology.*
FDA Label Image

Singledose Pfs (Image 01)

FDA Label Image

Step 1-a (Image 02)

FDA Label Image

Step 1-a (Image 03)

FDA Label Image

Step 1-b (Image 04)

Step 1-b (Image 04)
This appears to be a description of a syringe. It includes information about its label and barrel, expiration date, plunger rod, finger flange, needle, and cap. However, there is not enough information provided to determine the exact specifications or purpose of the syringe.*
FDA Label Image

Step 1-c (Image 05)

FDA Label Image

Step 1-d (Image 06)

FDA Label Image

Step 2-e (Image 07)

FDA Label Image

Step 2-f (Image 08)

FDA Label Image

Step 3-g (Image 09)

FDA Label Image

Step 3-h (Image 10)

FDA Label Image

Step 3-i (Image 11)

FDA Label Image

Step 4-k (Image 12)

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