Product Images Erbitux

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 6 images provide visual information about the product associated with Erbitux NDC 66733-948 by Imclone 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.

Erbitux 100mg Vial - erbitux 100mg 009 02

Erbitux 100mg Vial - erbitux 100mg 009 02

Erbitux 200mg Vial - erbitux 200mg 010 03

Erbitux 200mg Vial - erbitux 200mg 010 03

This text seems to be a mixture of medical-related information, including dosage and administration instructions, and drug details for Erbitux, a medication available in injectable form for intravenous use. It also contains information such as the composition and volume of a single dose, as well as its contents and some control numbers used for inventory purposes.*

Figure 1 - erbitux uspi f1v1

Figure 1 - erbitux uspi f1v1

This looks like a table showing the proportion of patients alive over time, separated by treatment groups (CET+CT and cT). The time is measured in months, and the number of patients at risk is listed for each time point. However, the data seems to be incomplete as the text in the second row appears to be garbled.*

Figure 2 - erbitux uspi f2v1

Figure 2 - erbitux uspi f2v1

The given text represents a chart or graph showing the proportion of patients alive over time, measured in months. The chart includes two groups of patients: "CET+CT" and "cT". The number of patients at risk (i.e. still being monitored) is also given for each time point for both groups.*

Figure 3 - erbitux uspi f3v1

Figure 3 - erbitux uspi f3v1

erbitux uspi f4v1

erbitux uspi f4v1

This is a graph showing the probability of survival for patients taking ERBITUX and encorafenib compared to the control group. The horizontal axis represents time, and the vertical axis represents the probability of survival. The number of patients at risk is shown below the graph.*

* 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.