Kerendia Tablet, Film Coated
Product Images NDC 50419-540

Product Visual Gallery

This gallery contains 5 technical images submitted to the FDA as part of the official labeling for Kerendia (NDC 50419-540). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Bayer Healthcare Pharmaceuticals Inc., 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

Kerendia 20 mg Label (Image 01)

Kerendia (finerenone) is a tablet medication with each film-coated tablet containing 20 mg of finerenone. It is recommended to refer to prescription information for the proper dosage. The tablets should be kept out of children's reach and stored between 8-20°C to 25°C. The label also includes the product code NDC 50419.541.01.*

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Kerendia 10 mg Label (Image 02)

Kerendia is a prescription drug in the form of film-coated tablets. Each tablet contains 10 milligrams of finerenone. The recommended dosage should be sought from the prescribing information. It should be kept away from children. The storage temperature range is 20-25°C (68-77°F), with excursions permitted from 15-30°C (59-86°F). The manufacturer appears to be Torston, and the NDC is 50419-540-01.*

FDA Label Image

Kerendia Chemical Structure (Image 03)

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Figure 1 Time To Occurence Of Kidney Failure (Image 04)

This graph displays the cumulative incidence probability for the planned treatment of Kerendia versus placebo in a clinical trial. The x-axis represents time in months and the y-axis shows the probability of event occurrence. The trial included a total of 2833 participants in the Kerendia group and 2841 in the placebo group. The graph displays the number of patients at risk at each time point for both groups.*

FDA Label Image

Time To Occurrence Of Cv Death (Image 05)

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