Product Images Levetiracetam
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Product Label Images
The following 8 images provide visual information about the product associated with Levetiracetam NDC 0904-7265 by Major Pharmaceuticals, 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.
The text provided is unclear and does not make sense. The numbers separated by percentage signs and the mixed alphanumeric characters do not provide any meaningful information. It is not possible to generate a useful description with this text.*
The given text is providing the percentage of patients for the Placebo and Levetiracetam groups based on the given dosage in a clinical trial. The information provided indicates that the Levetiracetam group was administered 3000 mg/day, and that the percentage of patients in that group was 39.4%. The Placebo group had a percentage of patients of 14.4%.*
This document contains data on the percentage of patients within a study's sample. The percentages shown are 4%, 10%, as%, a0%, 26%, 20%, 15%, 10%, %, and o%. Additionally, there are specific percentages for the placebo group (N=07) and the Levetiracetam group (N=101).*
The text appears to be a portion of a statistical report related to the comparison of a drug called "Levearacetzn" versus a placebo. The drug seems to have shown a statistically significant improvement in comparison to the placebo group, with a difference of 431%. However, it is not clear what the drug or the placebo are used for, or any other relevant details.*
This is a description of Levetiracetam, an oral solution medication produced by Major Pharmaceuticals. The medication is delivered in a 5 mL size, and is intended for institutional use only with a prescription. The package is not child-resistant. The label includes the NDC number, 0904-7265-41, and the manufacturer's location in Indianapolis, IN.*
* 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.