Product Images Isibloom

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Isibloom NDC 70700-113 by Xiromed, 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.

fig 2

fig 2

This text appears to describe different studies conducted on women's contraceptive use. The studies mentioned include NICHD Women's Contraceptive Study, French E3N cohort Study, Shangal Women's Health Study, The Nurses' Health Study I, and the Oxford Family Planning Association Study. The text also mentions whether the studies refer to ever use or current use of contraceptives. However, there is not enough information on the effect estimate.*

Structure - image 01

Structure - image 01

Figure 1 - image 02

Figure 1 - image 02

This text presents mortality rates expressed as the number of deaths per 100,000 woman-years for four different groups: women over users who are non-smokers, women over users who smoke, non-smoker controls, and smoker controls. The data is presented in a table, showing the figures for ages 15-24 and 25-34.*

isibloom-carton - isibloom carton

isibloom-carton - isibloom carton

Isibloom™ is a type of medication in the form of tablets containing Desogestrel and Ethinyl Estradiol, used for birth control. One package contains 3 blister cards each containing 28 tablets of orange and green colors. One orange tablet is taken daily for 21 consecutive days followed by one green inert tablet for 7 consecutive days as per the prescribed schedule. It is manufactured by Laboratorios Leén Farma S.A, Spain for Xiromed, LLC, Florham Park NJ 07932. The package is not child resistant and should be kept out of reach of children, stored at 20°C to 25°C.*

isibloom - isibloom

isibloom - isibloom

* 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.