Product Images Signifor
View Photos of Packaging, Labels & Appearance
- RRD Logo - RRD Group logo
- Signifor-0.9mg-ml - Signifor 0.3mg ml
- Signifor-0.6mg-ml - Signifor 0.6mg ml
- Signifor-0.9mg-ml - Signifor 0.9mg ml
- The structural formula of pasireotide diaspartate. - signifor 01
- Figure 1 – Mean (± SE) Urinary Free Cortisol (nmol/24h) at Time Points up to Month 6 by Randomized Dose Group - signifor 02
- Figure A and Figure B - signifor 03
- Figure C - signifor 04
- Figure D - signifor 05
- Figure E - signifor 06
- Figure F - signifor 07
- Figure G - signifor 08
- Figure H - signifor 09
- Figure I - signifor 0A
- Figure J - signifor 0B
- Figure K - signifor 0C
- Figure L - signifor 0D
- Figure M - signifor 0E
- Figure N - signifor 0F
Product Label Images
The following 19 images provide visual information about the product associated with Signifor NDC 55292-132 by Recordati Rare Diseases, 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.
Figure 1 – Mean (± SE) Urinary Free Cortisol (nmol/24h) at Time Points up to Month 6 by Randomized Dose Group - signifor 02

Not available.*
Figure A and Figure B - signifor 03

The text seems to be a description of a medical product namely, "SIGNIFOR [pasireotide] Injection" with indications for long and short needle for liquid injection. The text also mentions colored dot and breaking point range for usage. However, since there is not enough context, it is difficult to provide more information.*
Figure C - signifor 04

Signifor® is a prescription injection medication containing pasireotide. The expiration date and dosage information can be found on Figure C.*
Figure G - signifor 08

There isn't sufficient information to generate a useful description. The provided text is not readable and doesn't provide any context.*
* 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.