Product Images Elelyso

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Elelyso NDC 0069-0106 by Pfizer Laboratories Div Pfizer 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.

Logo - elelyso 01

Logo - elelyso 01

This is a label of a product called Pfizer which is distributed by Pfizer Labs, a division of Pfizer Inc. The product is based in New York, NY 10017.*

PRINCIPAL DISPLAY PANEL - 200 Unit Vial Label - elelyso 02

PRINCIPAL DISPLAY PANEL - 200 Unit Vial Label - elelyso 02

Elelyso (taliglucerase alfa) is an injectable medication for intravenous infusion only. It is manufactured by Pfizer Inc. and should be stored at 2-8°C (36-46°F) while protected from light. The medication's dosage information can be found in the prescribing information. The drug is distributed by Pfizer Labs, Division of Pfizer Inc. in New York, NY, and the US License No. is 2001. The medication comes in a single-dose vial, and any unused portion should be discarded.*

PRINCIPAL DISPLAY PANEL - 200 Unit Vial Carton - elelyso 03

PRINCIPAL DISPLAY PANEL - 200 Unit Vial Carton - elelyso 03

Elelyso is a drug for injection used for intravenous infusion purposes only. The drug is manufactured by Pfizer Inc in New York, NY, and contains 200 units of taliglucerase alfa and D-mannitol, polysorbate 80, and sodium citrate. The drug vial needs to be store at 2° to 8°C and protected from light. Each vial needs to be reconstituted with 5.1 mL of sterile water for injection, yielding a reconstituted product with a concentration of 40 il. No information is available regarding the dosage and potency standards. The drug label has an anti-counterfeit design with no varnish or ink. Each vial needs to be discarded after single use.*

* 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.