Product Images Climara Pro
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 15 images provide visual information about the product associated with Climara Pro NDC 50419-491 by Bayer Healthcare Pharmaceuticals 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.
Chemical structure - image 01
diagram patch - image 02
This appears to be a description of a three-layered material, likely used for packaging or labeling purposes. The first layer is a film backing, which provides structural support and stability. The second layer is a drug-in-adhesive layer, which likely contains medication or another active ingredient and adheres to the surface it is applied to. The third layer is a protective liner, which prevents the drug-in-adhesive layer from sticking to anything before it is intended to be used.*
figure 1 - image 03
Figure 2 - image 04
This is a graph representing the concentration of Levonorgestrel serum over time in hours (h). The concentration is measured in sgimL units and the values range from 0 to 250 sgimL. The time points where the concentration was measured are 08h, 15h, 16h, 120h, 132h, and 104h.*
fig 3 - image 05
fig 4 - image 06
Fig A - image 07
C:\Users\SGCGY\Desktop\JPEG CLIMARA\Images Climara Pro\Fig B.jpg - image 08
Fig C - image 09
"Protective backing" refers to a material or layer added to an object to provide protection against damage, scratches, or other unwanted effects. This can include backings added to electronic devices or hand-held tools to prevent damage from drops, or a protective layer added to a surface during painting or construction to prevent damage from spills or mishaps.*
Fig D.jpg - image 10
Fig E - image 11
Fig F.jpg - image 12
Fig G.jpg - image 13
Fig H - image 14
climara pro carton - image 15
* 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.