Product Images Imbruvica
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 15 images provide visual information about the product associated with Imbruvica NDC 57962-070 by Pharmacyclics Llc, 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 graph or chart as it contains symbols such as percentages, months, and drugnames. It seems to be a comparison of two drugs - Imbruvica and Ofatumumab - based on their effectiveness after several months. Without further context or a visual of the graph/chart, it is difficult to ascertain what the data represents, what the symbols mean and how they are inter-related.*
The text seems to be describing a comparison between two drugs: IMBRUVICA and ofatumumab. It might include data related to the effectiveness of these drugs over a period of 18 months, as well as the number of patients being treated. However, the text is not clear, and some characters are missing or incorrect.*
This appears to be a graph showing the efficacy of a drug called IMBRUVICA compared to the drug chlorambucil over a period of 27 months. The y-axis represents the percentage of patients who were progression-free survival (PFS) and the x-axis represents the number of months. The graph displays a significant difference between the two drugs, as indicated by the p-value calculated. However, there is no information about what condition the drugs were being used to treat.*
Imbruvica (ibrutinib) is a medication provided in capsule form with 140mg dosage. Its indication, proper use, and precautionary measures are not available from the given text.*
Imbruvica* (ibrutinib) tablets are a medication used to treat certain types of cancer, including mantle cell lymphoma, chronic lymphocytic leukemia, and Waldenstrom's Macroglobulinemia.*
* 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.