Tech

Skinive Comparative analysis 2021 – 2022 1. Introduction Skin diseases are the most common cause of all human illnesses which affects 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 in white populations. Melanoma is the […]

On May 25, an awards ceremony took place in Bussum, the Netherlands, when Skinive was selected as a winner from the finalist startups. As a prize, Skinive will receive a booth in the Dutch Pavilion at the start-up part of the Mobile World Congress, 4YFN, in Barcelona in 2023/24 and a mention on  Tepecompaper.com   […]

Skinive visiting DMEA – Europe’s leading digital health event with around 11,000 visitors, more than 500 exhibitors and 300 speakers from Germany and abroad. DMEA is Europe’s leading event for the digitalization of healthcare. The focus on the Berlin Exhibition Grounds was on the digital transformation of the healthcare system. It was a great opportunity […]

Skinive’s accuracy report “Dynamics of the neural network accuracy in the context of modernization of the algorithms of skin pathology recognition” is officially published at Social Science Research Network. www.ssrn.com Skinive neural network uses a machine-learning algorithm to calculate the risk rating of skin pathologies. For this study, we used Skinive’s 2020 and 2021 versions […]

Summing up Skinive’s 2021 activities, we are excited to announce the list of events and conferences Skinive participated in during Autumn 2021: 1. The Next Web Conference (TNW)  (Sep 30 – Oct 01, 2021) TNW Conference is the most popular tech conference in Amsterdam, a 2-day technology event that brings together international technology executives, policymakers, […]

Our team is pleased to present a new application in the Skinive line – the Skinive Web Widget, based on our API service Skinive.Cloud . We have a holistic dermatological artificial intelligence that can scan 30 skin conditions: all forms of skin cancer, viral diseases and acne. Check the accuracy of our algorithm via the […]