Product Images Everolimus
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 5 images provide visual information about the product associated with Everolimus NDC 0378-3099 by Mylan 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.
This appears to be a statistical information table or graph with different medical treatments being compared in terms of their hazard ratio, confidence intervals, and logrank p values. The two treatments being compared are "Everolimus 10mg - exemestane" and "Placebo - exemestne". The table provides data for 78 months and 32 months for each treatment respectively. However, the context or purpose of this comparison cannot be determined without additional information.*
This is a prescription medication with NDC code 0378-3096-85. Each tablet contains 25 mg of everolimus. The medication is manufactured by Mylan Pharmaceuticals Inc. and is sold through a variety of distributors. It is recommended that this medication be stored at controlled room temperature in its original packaging. For more information, visit Mylan.com or consult with a healthcare professional.*
This is a description of Everolimus tablets, which are identified by the National Drug Code 0378-3097-85. Each tablet contains 5mg of everolimus. The storage of the product is subject to USP Controlled Room Temperature guidelines. There is some unreadable text in the description.*
This is a description of a medication with the National Drug Code (NDC) 0378-3098-85. The medication is called Everolimus, and it is in a tablet form. Each tablet contains 7.5 mg of everolimus. The manufacturer of the drug is Mylan, and more information about the drug can be found on their website, mylan.com. There is a reference to USP Controlled on the item, and it appears to be intended for oral 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.