excagol presents interim results of identifying blood vessels on ultrasound images using deep-learning algorithms
Newsletter fourth release – Identification of blood vessels on ultrasound images using deep learning
Newsletter fourth release – Identification of blood vessels on ultrasound images using deep learning
Newsletter third release – Development of a prototype for a semi-automated venipuncture automate
Newsletter second release – Acceptance of the Electronic Venipuncture Automate
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The R&D team at excagol just achieved a new development stage of image processing analysis which has been successfully tested. Further product development in the process 🚀
Thanks to Life Science Nord for publishing the following article about excagol: https://lifesciencenord.de/de/news/detail/excagol-medtech-stellt-sich-vor.html Life Science Nord begrüßt das Medtech-Start-up herzlich als neues Mitglied im Förderverein! Die excagol medtech ist ein Hamburger Start-up, …
The talk Netzer has given during the last interview about excagol:
We are excited to share that recently excagol have won second place among the startups presenting an innovative medical solution for an existing medical opportunity from Sheba Medical Center, the …
Excagol Medtech specialized in healthcare and medical technology is looking to raise capital for the development of EVA. EVA is a mobile solution for quick and precise venipuncture. EVA automatically …
An ex-vivo feasibility test about automated venipuncture function was successfully performed by our laboratory demonstrator. Excagol’s software application remoted the laboratory demonstrator through a wireless connection via a tablet and …