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19th June 2022
This happened! We presented the alpha version of the Skinive application to the conference participants in it’s home city of Amsterdam ! Selected and invited by Startup Amstedam and Smart Health Amsterdam alongside with another 11 Amsterdam-based startups, at our booth in Amsterdam pavilion, we have announced the official launch of the Skinive consumer app […]
11th June 2022
Summer started with visiting IMSAC World Congress in Paris where we had an opportunity to present Skinive to the Innovation Tank Jury alongside with 12 amazing innovation startups in the fields of dermatology, plastic surgery and aesthetic science! Additionally, CEO Skinive Kirill Atstarov was invited to be a speaker at “Clinician Innovators & entrepreneurs of tomorrow” […]
28th May 2022
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 […]
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 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 […]
8th January 2022
Happy to start 2022 by announcing that Skinive has been selected to get through the ELISE AI program – EU-funded European Network of AI Excellence Centres Thanks to the European Horizon 2020 and ELISE AI network! Within the framework of the ELISE program, together with a network of artificial intelligence research hubs and scientific advisors, […]
20th December 2021
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 […]