Product Images Tafinlar
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 7 images provide visual information about the product associated with Tafinlar NDC 0078-0681 by Novartis Pharmaceuticals Corporation, 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.
Each capsule contains 88.88 mg of dabrafenib mesylate, indicated for the treatment of patients with melanoma with BRAF V600E mutation as detected by an FDA-approved test. It is recommended to store the capsules at room temperature ranging from 20°C to 25°C (68°F to 77°F), with excursions permitted between 15°C to 30°C (59°F to 86°F). Dosage information is available in the accompanying USP Controlled Room Temperature label. The product is distributed by Hours Pharmaceuticals and manufactured in Singapore. Novartis owns the product trademark Tafinlar®.*
This is a description of a medication called Dabrafenib Mesylate, which is available in capsules. Each capsule contains 59.25mg of the medication and should be stored at 20°C to 25°C (68°F to 77°F). It is equivalent to Afiniar and the dosage is S 50 MG. The container has a safety seal that should not be broken or missing. The information can be found on the packaging with the NDC number 0078-0682-66. The medication is manufactured by Novartis.*
This appears to be a table or graph that shows the proportion of subjects who were alive and did not have a relapse over time, comparing a treatment with "TAFINLAR + MEKINIST" to a placebo. The table includes different time points (in months) and the number of subjects at risk at each time point. The graph shows the proportion of subjects over time for both treatment groups. The text does not provide any additional information regarding the context of the study or the conditions being treated.*
* 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.