Valganciclovir Tablet, Film Coated
Product Images NDC 64380-161

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Product Visual Gallery

This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Valganciclovir (NDC 64380-161). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Strides Pharma Science Limited, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Figure 1 (058fa4c8 4170 4506 A930 Dcacb28d9eff 01)

Figure 1 (058fa4c8 4170 4506 A930 Dcacb28d9eff 01)
This text appears to contain information related to calculating Schwartz Creatinine Clearance based on height and serum creatinine levels. The formula for Schwartz Creatinine Clearance involves the height in centimeters and serum creatinine levels in mg per dL. This calculation is important in assessing kidney function in patients, particularly in pediatrics.*
FDA Label Image

Estimated Creatinine Clearance (058fa4c8 4170 4506 A930 Dcacb28d9eff 02)

Estimated Creatinine Clearance (058fa4c8 4170 4506 A930 Dcacb28d9eff 02)
This text provides a formula for estimating creatinine clearance using age, body weight, and serum creatinine levels. It provides separate formulas for males and females.*
FDA Label Image

Image (058fa4c8 4170 4506 A930 Dcacb28d9eff 03)

FDA Label Image

Cont-label (058fa4c8 4170 4506 A930 Dcacb28d9eff 04)

Cont-label (058fa4c8 4170 4506 A930 Dcacb28d9eff 04)
The text contains dosage recommendations for a medication called valganciclovir, which is distributed by Strides Pharma Inc. The medication is available in 450 mg tablets and should be dispensed by a pharmacist following guidelines. It is important to store the medication at 25°C (77°F) and avoid breaking or crushing the tablets. The medication is prescription-only and comes in a pack of 60 tablets.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.