AI-powered, vertically-integrated IVD certified technology for accurate, fast and affordable diagnosis of genetic disorders & beyond.

There are 350 million people worldwide suffering from >10,000 genetic disorders / rare diseases, but <500 of these diseases have an approved treatment. The societal burden of the rare diseases exceeds €2 trillion, demonstrating an apparent unmet clinical need for better, faster & affordable Companion Diagnostics of rare diseases towards precision treatments. 

Today, the diagnosis of rare diseases, that takes on average 7 years, is based on the current sequencing technologies, has a high cost and complexity and leaves many patients undiagnosed. 

gMendel® is the only end-to-end cloud based technology that uses AI for accurate, fast & affordable diagnosis of multiple rare diseases & beyond. Moreover, gMendel®’s technology is automated, transcending the need for bioinformatician’s intervention, reducing the experimental errors & costs. This improves accessibility and has a potential to revolutionize genetic analysis without any change to current health care protocols.

Compared to current available technologies in the market, our novel combination of genomics & AI makes our technology better, faster, and more affordable than any other in the companion diagnostics market.

In 2022, gMendel® obtained CE mark under EU IVDD, becoming the world’s first IVD certified technology for human genetic disorders utilizing long read sequencing technology and AI.

gMendel® has achieved Proof of Concept to detect deletions, insertions, point mutations by doing whole exome sequencing or DNA region customisation by amplicons or probes. 

We are currently in the process to commercialise our technology for Companion Diagnostics for Anemia, Epilepsy, Cystic Fibrosis & Spinal Muscular Atrophy.


Biotechnology

Health Care

Health Diagnostics

Life Sciences

gMendel

Chris Kyriakidis

Dimitrios Kyriakidis

Hanna Pyokari

Deepak Asudani M.D.

Zoran Zdraveski

Zoran Velkoski

Gjorgji Madjarov

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gMendel

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gMendel

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