Detectnet and Progressive relapsing multiple sclerosis - a phase IV clinical study of FDA data

Summary:

We study 528 people who take Detectnet (copper dotatate cu-64) or have Progressive relapsing multiple sclerosis. No report of Progressive relapsing multiple sclerosis is found in people who take Detectnet.

The phase IV clinical study is created by eHealthMe based on reports from the FDA, and is updated regularly.

What is Detectnet?

Detectnet has active ingredients of copper dotatate cu-64. eHealthMe is studying from 2 Detectnet users. Check the latest studies of Detectnet.

What is Progressive Relapsing Multiple Sclerosis?

Progressive relapsing multiple sclerosis (chronic autoimmune disease of the central nervous system in which gradual destruction of myelin occurs in patches throughout the brain or spinal cord or both) is found to be associated with 16 drugs and 39 conditions by eHealthMe. Check the latest studies of Progressive relapsing multiple sclerosis.

On Jul, 25, 2026

No report is found.

Do you take Detectnet and have Progressive relapsing multiple sclerosis?

- Check whether Progressive relapsing multiple sclerosis is associated with a drug or a condition
- Predict drug outcomes for up to one year with AI
- Get an AI agent to monitor your drugs continuously

Related studies:

Effectiveness of, long term effects of, and alternative drugs to Detectnet:

Detectnet (2 reports)

Progressive relapsing multiple sclerosis treatments and more:

Progressive relapsing multiple sclerosis (526 reports)

How severe was Progressive relapsing multiple sclerosis and when was it recovered:

Progressive relapsing multiple sclerosis in Detectnet

Expand to all the drugs that have ingredients of copper dotatate cu-64:

Progressive relapsing multiple sclerosis and drugs with ingredients of copper dotatate cu-64

Browse all side effects of Detectnet:

a b c d e f g h i j k l m n o p q r s t u v w x y z

Browse all the drugs that are associated with Progressive relapsing multiple sclerosis:

Progressive relapsing multiple sclerosis

Browse all the conditions that are associated with Progressive relapsing multiple sclerosis:

Progressive relapsing multiple sclerosis

How the study uses the data?

The study uses data from the FDA. It is based on copper dotatate cu-64 (the active ingredients of Detectnet) and Detectnet (the brand name). Other drugs that have the same active ingredients (e.g. generic drugs) are not considered. Dosage of drugs is not considered in the study.

How to use the study?

DO NOT STOP MEDICATIONS without first consulting your doctor. If there are any serious or long term adverse effects discovered in the study, discuss the study with your doctor to ensure that proper medication management will be in place if applicable.

Who is eHealthMe?

With medical big data and proven AI/ML algorithms, eHealthMe provides a platform for everyone to run phase IV clinical trials. We study millions of patients and 5,000 more each day. Results of our real-world drug study have been referenced on 800+ peer-reviewed medical publications, including The Lancet, Mayo Clinic Proceedings, and Nature. Our analysis results are available to researchers, health care professionals, patients (testimonials), and software developers (open API).

WARNING, DISCLAIMER, USE FOR PUBLICATION

WARNING: Please DO NOT STOP MEDICATIONS without first consulting a physician since doing so could be hazardous to your health.

DISCLAIMER: All material available on eHealthMe.com is for informational purposes only, and is not a substitute for medical advice, diagnosis, or treatment provided by a qualified healthcare provider. All information is observation-only. Our phase IV clinical studies alone cannot establish cause-effect relationship. Different individuals may respond to medication in different ways. Every effort has been made to ensure that all information is accurate, up-to-date, and complete, but no guarantee is made to that effect. The use of the eHealthMe site and its content is at your own risk.

If you use this eHealthMe study on publication, please acknowledge it with a citation: study title, URL, accessed date.