Product Images Avance Cure Incontinence

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Product Label Images

The following 2 images provide visual information about the product associated with Avance Cure Incontinence NDC 70936-105 by Smart Choice Medical 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.

AvanceCureIncontinence - AvanceCureIncontinence

AvanceCureIncontinence - AvanceCureIncontinence

Avancé Cure is a fast-healing cream that provides wetness protection and healing for raw, irritated skin from adult incontinence. It contains two clinically proven skin protectants against wetness. It is fragrance-free, paraben-free, and non-greasy. The cream is made with aloe vera, beeswax, shea butter, oat proteins, and vitamins A, B & E. It helps protect against wetness and chafing and daily use helps to prevent problems from occurring. It does not leave a greasy residue but still provides the necessary wetness protection. The directions for use are provided on the packaging. Inactive ingredients include burdock root extract, oat kernel flour, and chamomile flower extract. For further details, visit the website or contact the manufacturer.*

AvanceCureIncontinenceTube - AvanceCureIncontinenceTube

AvanceCureIncontinenceTube - AvanceCureIncontinenceTube

Avancé Cure is a Fast Healing Cream that helps heal raw, irritated skin with the help of the Aloe Vera Complex, and contains two clinically-proven skin protectants against wetness. It helps protect against wetness, chafing, and skin breakdown, and is non-greasy, fragrance-free, and paraben-free. It can treat and prevent diaper rash and protect the skin from minor skin irritation associated with diaper rash. It can temporarily protect and help relieve chafed, chapped, or cracked skin. For external use only, it shouldn’t be used on deep puncture wounds, infections, or lacerations.*

* 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.