Product Images Dasatinib
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 7 images provide visual information about the product associated with Dasatinib NDC 70377-087 by Biocon Pharma 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.
dasatinib-100mg-bottle - 100mg jpeg
This is a medication label for Dasatinib tablets, with information including the NDC number, unvarnished area size, GTIN, serial number, expiration date, and lot number. The label provides important details for identifying and tracking the medication in a healthcare setting.*
dasatinib-140mg-bottle - 140mg jpeg
This text provides information about a medication called Dasatinib Tablets. It includes a National Drug Code (NDC) number, lot number, and other details related to the product. The specified tablet is associated with a certain size of 5321.5mm.*
dasatinib-20mg-bottle - 20MG JPEG
This is a pharmaceutical label for Dasatinib Tablets with a National Drug Code (NDC) of 70377-08341. The label also includes information about the unvarnished area size, GTIN, serial number (SN), and lot number (LOT). The specific dosage and usage instructions are not available in the given text.*
dasatinib-50mg-bottle - 50mg jpeg
This text contains information about a pharmaceutical product identified as Dasatinib Tablets with a specific product code (NDC70377-08441). It also includes details such as GTIN, serial number (SN), expiration date (X MMM YYYY), and lot number (LOT X00000000X).*
dasatinib-70mg-bottle - 70mg jpeg
dasatinib-80mg-bottle - 80mg jpeg
This is a description for a box of Dasatinib Tablets with specified details such as size (105 mm), NDC code (70377-086-11), and various other information like GTIN, expiration date, lot number, etc.*
dasatinib-struct.jpg - dasatinib struct
* 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.
