Well here we are at MWC Barcelona & 4YFN – It’s the world’s largest mobile congress with more than 80,000 participants. Together with more than 20 other leading companies from the Netherlands, Skinive team jointly represented the technology sector. To say that we were happy with the results of the fair is nothing to say. […]

In the ever-evolving landscape of digital health and dermatology, innovative solutions that leverage advanced technologies are paramount to staying ahead of the competition. Skinive.Cloud, an industry-leading B2B SaaS tool, offers third-party developers access to its powerful Skinive AI API. This solution revolutionizes skin health screening on smartphones, opening up new possibilities for accurate and personalized […]

A bit of a memory of attending MEDICA, the leading international healthcare solutions trade fair. Our company Skinive, which creates applications to track skin conditions using artificial intelligence, had the great pleasure of representing ourselves and other organisations from the Dutch life sciences and healthcare sector at the Dutch pavilion. On Tuesday, a large reception […]

ELISE Final Report of Skinive We are happy to announce that we have successfully completed the Elise project. As part of Elise, our company has improved the performance of the Skinive MD application. So, the app is made more stable, convenient and effective for use in medical practice. The algorithm’s capabilities have been expanded, namely […]

Skinive Comparative analysis 2021 – 2022 Authors: Kirill S, Viktor S. 1. Introduction Skin diseases are the most common cause of all human illnesses. This pathology occurs in almost 900 million people in the world [1]. There are more than 3000 known skin diseases worldwide. Skin cancer is now the most common type of malignant neoplasia […]

This happened! Lastly, we presented the alpha version of the Skinive application to the conference participants in it’s home city of Amsterdam ! In this application, everyone can independently check problem areas of the skin. The artificial intelligence on which the application works is trained for a wide range of pathologies. Chiefly, these are neoplasms, […]