Jaypirca Tablet, Coated
Product Images NDC 0002-6902

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Jaypirca (NDC 0002-6902). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Eli Lilly And Company, 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

Package Label – Jaypirca 100 mg Tablets, 30 Count Bottle (Jaypirca 100mg Bottle 074 00)

Package Label – Jaypirca 100 mg Tablets, 30 Count Bottle (Jaypirca 100mg Bottle 074 00)
Jaypirca is a tablet for oral use that comes in a strength of 100 mg. Each bottle has 60 tablets. The active ingredient in Jaypirca is Pirtobrutinib. It is marketed by Lilly USA LLC, and can be checked at its website. GTIN code for Jaypirca is 0300027026602, and for further information about its lot number, expiration date, and serial number, you can check at the bottle.*
FDA Label Image

Package Label – Jaypirca 50 mg Tablets, 30 Count Bottle (Jaypirca 50mg Bottle 076 00)

Package Label – Jaypirca 50 mg Tablets, 30 Count Bottle (Jaypirca 50mg Bottle 076 00)
The text is a combination of a product description and a financial record. The product is "pirtobrutinib" tablets with a dosage of 50 mg per tablet. It is manufactured by Jaypirca and comes in a pack of 30 tablets. The label includes a warning to keep them out of reach of children and the address of the manufacturer. The financial record includes a reference to £0520692000£00(1L0) and a list of transactions and amounts that are not clearly understandable. The text also includes the NDC code 0002-6902-30 and GTIN code 0300026902303.*
FDA Label Image

Chemical Structure (Jaypirca Uspi Chem Str V1)

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