Brivaracetam Tablet, Film Coated
Product Images NDC 84386-072

Product Visual Gallery

This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Brivaracetam (NDC 84386-072). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Aurobindo Pharma Limited, 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

Fig1 (Brivaracetam Fig1)

This text appears to contain information related to percentage reduction in seizure frequency in response to different treatments or assets. It includes mentions of percentages and quantities, likely referring to the impact of different treatments on seizure frequency.*

FDA Label Image

Package Label-principal Display Panel (50 mg (60 Tablets Bottle))

Each film-coated tablet contains 50 mg of Brivaracetam and is distributed by Aurobindo Pharma USA, Inc. The usual dosage and storage instructions are provided. The medication guide should be dispensed to each patient. Information such as GTIN, Serial Number, Expiry Date, and LOT will be printed during packing.*

FDA Label Image

Package Label-principal Display Panel (100 mg (60 Tablets Bottle))

Each film-coated tablet of Brivaracetam contains 100 mg and is distributed by Aurabindo Pharma USA, Inc. The usual dosage information can be found in the accompanying prescribing information. The tablets are manufactured in India and should be stored at a temperature range of 20°C to 25°C. The medication guides should be provided to each patient by the pharmacist. Further details can be found on www.aurobindousa.com/medication. The packaging includes printing with information such as GTIN, Serial Number, Expiry Date, and LOT in human-readable form.*

FDA Label Image

Chemical Structure (Brivaracetam Str)

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