Product Images Abiraterone
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 6 images provide visual information about the product associated with Abiraterone NDC 72205-284 by Novadoz Pharmaceuticals 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.
250-mg-120s - abiraterone 250mg 120s container label
This is a prescription medication called Abiraterone Acetate & wrony tablets USP used for treating certain types of cancer. Each tablet contains 250 mg of Abiraterone acetate. The dosage instructions state to swallow the tablet whole and not crush or chew it. It is harmful if taken by pregnant women and they should avoid handling the tablets without gloves. The medication comes in a package of 120 tablets manufactured by SN Laboratories Private Limited and distributed by Novados Pharmaceuticals. The NDC number of the product is 72205-03.*
figure-01 - abiraterone figure 01
This appears to be the visual representation of data from a clinical trial for the drugs Abiraterone and Placebo in the treatment of a medical condition resulting in death. The chart shows the time to death, in months, for patients who received Abiraterone versus those who received a placebo. The y-axis shows the percentage of patients still alive at that time-point, while the x-axis shows the time in months. The chart indicates that the survival rate for patients receiving Abiraterone is significantly higher than for those who received a placebo.*
figure-02 - abiraterone figure 02
This text presents a visualization of the percentage of subjects without death, over a 60-month period, for the drugs Abiraterone and Placebo. The chart shows that Abiraterone had a higher percentage of subjects without death than the Placebo medication.*
figure-03 - abiraterone figure 03
abiraterone-structure - abiraterone structure
figure 4
* 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.
