Product Images Arexvy

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 7 images provide visual information about the product associated with Arexvy NDC 58160-848 by Glaxosmithkline Biologicals Sa, 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.

Figure 1 - arexvy spl graphic 01

Figure 1 - arexvy spl graphic 01

Figure 2 - arexvy spl graphic 02

Figure 2 - arexvy spl graphic 02

This text appears to be a label or specification for a biomedical product. It indicates that the product is in a lyophilized (freeze-dried) form and contains an antigen component in a powdered form. Additional information about the specific product or its intended use is not available.*

Figure 3 - arexvy spl graphic 03

Figure 3 - arexvy spl graphic 03

Figure 4 - arexvy spl graphic 04

Figure 4 - arexvy spl graphic 04

Arexvy 10 dose carton - arexvy spl graphic 05

Arexvy 10 dose carton - arexvy spl graphic 05

This is a description of a respiratory syncytial virus vaccine called AREXVY. The package includes 10 vials containing adjuvant suspension component and 10 vials of lyophilized antigen component that need to be combined before use. The reconstituted vaccine has 10 doses, and each dose is 0.5 mL of AREXVY. This vaccine is available only through prescription.*

Arexvy antigen vial label - arexvy spl graphic 06

Arexvy antigen vial label - arexvy spl graphic 06

Arexvy Adjuvant vial label - arexvy spl graphic 07

Arexvy Adjuvant vial label - arexvy spl graphic 07

This is a medication packaging from GlaxoSmithKline Biologicals. The package contains an adjuvant suspension component and is not intended to be used alone. It also includes NDC and manufacturing details. However, it is not possible to determine the complete details of this medication from this text.*

* 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.