“Better technology in medicine won't replace professionals;
it will allow them to do even more”
Zero to One: Notes on Start Ups, or How to Build the Future

2018 -
own project
Tech stack:
Hydrogen: our own Clojure-based software platform
Clojure MXNet:
Scalable Deep Learning framework
See it in action
medical imaging

Medical imaging is one of the most effective diagnostic tools for a wide range of disease detection. Images require a decision by a health professional.
We build tools to help medical professionals interpret images faster and better.

Quick identification of abnormalities for worklist prioritization.
More efficient interpretation of the images.
Support for health professionals in their workflow.
Fatigue and error reduction.
mura (Stanford University School of Medicine Dataset)

proof of concept

Bone X-Ray Deep Learning musculoskeletal disease detection solution

Musculoskeletal conditions affect more than 1.7 billion people worldwide, and are the most common cause of severe, long-term pain and disability, with 30 million emergency department visits annually and increasing. Our proof of concept demonstrates how software can help radiologists in their decision taking: Magnet’s algorithm, built by leveraging the MURA dataset with deep learning methods and MXNet technology, determines whether an X-ray study is normal or abnormal.

See it in action
Santa Marina 3. Oñati (20560) Gipuzkoa Spain
+34 943 504 999
Hugona Kołłątaja 11/44A Opole (45-064) Poland
+48 737 460 317
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