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29th July 2022
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 […]
28th May 2022
On May 25, an awards ceremony took place in Bussum(NL) Skinive was selected as a winner from the finalist startups. As a prize TP awards, 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 – […]
29th April 2022
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 (Digital Medical Expertise & Applications Exhibition) 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 […]
20th December 2021
Skinive accuracy 2021 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 […]
2nd December 2021
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, […]
31st December 2020
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 […]
