Health professionals

Endometriosis :
improving detection of the disease!

This is one of the main focuses of the national strategy to fight endometriosis announced on January 11, 2022 by French President, Emmanuel Macron.

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End useless appointments, medical examinations and surgical diagnostic procedures. Ziwig Endotest® enables the detection of all forms of endometriosis with almost 100% reliability1-6 (sensitivity of 97%, specificity of 100%, diagnostic accuracy (AUC) of 98%)³, without any invasive procedure.

Remove the doubts with Ziwig Endotest®,
by offering to your patients the possibility of a fast and non-invasive diagnosis.

A safe and non-invasive alternative to the techniques currently used for the rapid diagnosis of endometriosis without any risk of complications.

A highly reliable diagnostic test: Sensitivity = 97%, Specificity = 100%³.

Accelerated access to appropriate care and shortening of diagnosis.

A detection of all types of endometriosis, from superficial to deep forms, including the most complex cases of patients with negative or uncertain medical imaging.

By using Ziwig Pro,
you can focus on what matters most: your patients…

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Get the right information at the right time, with a consolidated patient record, and a reduction in your administrative tasks to complement your existing tools.

Optimize your consultation time: your patients having filled the file before the first appointment. Access, at a glance, the history of your patients, in an interactive, structured and concise file.

Adopt a secure data protection policy that is compliant with the latest legislation (RGPD, Health 2022…).

Get access to a simple and easy-to-use professional account with dedicated support, sample emails, help for Doctolib configuration…

François Golfier

Ziwig is contributing to boosting research on endometriosis to improve the excellence of the management of this chronic disease! Constantly driven by the ambition to revolutionize medicine, Ziwig is developing a more predictive and participative medicine, especially for the well-being of all women. Through the use of cutting-edge technologies, Ziwig provides health professionals and women suffering from endometriosis with innovative and efficient tools. Ziwig offers real prospects for improvement in the management of this disease!

Professor François GOLFIER
President of the endometriosis committee of the Collège National des Gynécologues et Obstétriciens Français (CNGOF)
Chief of the Gyneological and Oncological Surgery Department – Obstetrics at the Lyon South University Hospital
President of the ENDAURA endometriosis network (Auvergne Rhône-Alpes)

We dreamed about it, Ziwig did it! “Ziwig is a revolution in the diagnosis and care of endometriosis. For us healthcare professionals, Ziwig allow us to make the diagnosis faster, direct patients towards the referring doctors, and facilitate follow-up thanks to accurate and reliable information based on artificial intelligence. To sum up, we dreamed about it, and Ziwig did it!”

Professor Philippe DESCAMPS
Vice President of FIGO (International Federation of Gynecology and Obstetrics)
Chief of the Gyneco-Obstetrics Department at the University Hospital of Angers
Head of the EndoRef Expert Center Angers

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1 – Machine learning algorithms as new screening approach for patients with endometriosis.
Bendifallah S & al. Sci Rep. 2022 Jan 12;12(1):639. doi: 10.1038/s41598-021-04637-2.
2 – Clues for Improving the Pathophysiology Knowledge for Endometriosis Using Serum Micro-RNA Expression.
Dabi Y & al. Diagnostics (Basel). 2022 Jan 12;12(1):175. doi: 10.3390/diagnostics12010175.
3 – Salivary MicroRNA Signature for Diagnosis of Endometriosis.
Bendifallah & al. J Clin Med. 2022 Jan 26;11(3):612. doi: 10.3390/jcm11030612.
4 – MicroRNome analysis generates a blood-based signature for endometriosis.
Bendifallah S & al. Sci Rep. 2022 Mar 8;12(1):4051. doi: 10.1038/s41598-022-07771-7.
5 – Endometriosis Associated-miRNome Analysis of Blood Samples: A Prospective Study
Bendifallah S & al. Diagnostics. 2022; 12(5):1150.
6 – A Bioinformatics Approach to MicroRNA-Sequencing Analysis Based on Human Saliva Samples of Patients with Endometriosis.
Bendifallah S & al. Int. J. Mol. 2022, 23, 8045.

Find all our scientific publications here.