Rydapt Capsule, Liquid Filled
Product Images NDC 0078-0698
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Product Visual Gallery
This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Rydapt (NDC 0078-0698). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Novartis Pharmaceuticals Corporation, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.
Product Images & Figures Index
Figure 1: Kaplan-meier Curve For Overall Survival In Study 1 (Rydapt 02)
This is a clinical trial result for Rydapt (a drug) efficacy in treating a certain condition, compared to a placebo. The study involved 360 patients who were administered Rydapt and 357 patients who were administered a placebo. The HR (Hazard Ratio) of the Rydapt drug is reported to be 0.7 (which is a good result), with a confidence interval of 95%. The P value is 0.016. The table shows the number of patients at different time intervals (given in months) who were still under treatment and their respective groups (Rydapt and Placebo).*
Principal Display Panel Rydapt® Ndc 0078-0698-99 (midostaurin) Capsules 25 mg Rx Only 56 Soft Capsules Contents: 2 Packs Containing 28 Capsules Each Novartis (Rydapt 03)
This is a medication called Rydapt (midostaurin), manufactured by Novartis Pharmaceuticals Corporation. It comes in soft capsules containing 25 mg of the active ingredient and should be swallowed whole with water. The usual dosage is specified in the prescribing information. The medication should be stored at room temperature in its original container to protect from moisture, and away from children. Further information can be obtained by visiting the company's website or calling their customer service. The rest of the text contains product codes and manufacturing information.*
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.