Sharing knowledge and experience with Amsterdam Medical Data Science.

20th February 2020

Sharing knowledge and experience with Amsterdam Medical Data Science.

Nowadays, Artificial Intelligence technology is for sure not lacking of attention in media and academic publications. But how much use is made of the potential of Data Science and innovation in European medical practice?  On February 18th, 2019, Skinive specialists attended a medical conference linking top-class healthcare professionals and DataScience at the VUmc Cancer Centre […]

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Skinive at the Rockstart AI Ecosystem Day in the Academy of Data Science.

14th February 2020

Skinive at the Rockstart AI Ecosystem Day in the Academy of Data Science.

On February 12th, investors, entrepreneurs, mentors, scientists and interested people gathered in the beautiful campus of the Jheronimus Academy of Data Science (JADS) in ‘s-Hertogenbosch (The Netherlands). They hosted the Rockstart AI Ecosystem Day for the 3rd time. Rockstart AI is an organization supporting artificial intelligence and emerging technology companies and startups in Europe. As such, they […]

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Skinive participated in  Rockstart Health Innovation Day.

5th February 2020

Skinive participated in Rockstart Health Innovation Day.

On February 4th, Skinive participated in Health Innovation Day in Nijmegen (The Netherlands) organised by Rockstart. This event is to facilitate successful collaborations between innovation managers and experts from different health companies. It was an amazing opportunity to introduce our product to health care professionals and insurance companies. We are happy to learn more about […]

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Skinive launched the  3rd edition of the Rockstart acceleration program in the list of top 10 teams!

24th October 2019

Skinive launched the 3rd edition of the Rockstart acceleration program in the list of top 10 teams!

After weeks of deliberation, Rockstart has finalized the selection and launched its 3rd AI accelerator program, which kicked off last Thursday night in ‘s-Hertogenbosch, the Netherlands. Attendees included mentors, investors as well as other start-ups. These talented entrepreneurs from ten startups across eight different countries will spend the next six months building and refining their […]

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Skinive won 1st place at Seedstars Minsk 2019

28th September 2019

Skinive won 1st place at Seedstars Minsk 2019

The final stage of the Belarusian stage of the international startup competition Seedstars World 2019 was held in Minsk. The jury recognized Skinive as the best startup, it is an artificial intelligence platform that can recognize more than 30 of the most common skin diseases. Belarus set a record for the number of applications filed […]

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Skinive is now available in the Doctor Smart app

11th August 2019

Skinive is now available in the Doctor Smart app

Doctor Roitberg’s Doctor Smart online medical consultation service, in partnership with the Skinive AI project, has launched a new service – skin scoring based on artificial intelligence (AI). Users can scan their moles (pigmented nevus) in a few seconds by uploading a photo to the application. The neural network will analyze the image and prepare […]

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Types of skin moles and how to know if they’re safe

26th November 2018

While for many of us moles are just brown spots on our body we may not pay much attention to, they come in various shapes, sizes, and forms that can tell us important things about our skin health. Understanding all types of skin moles helps us identify any suspicious spots for skin cancer and keep […]

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[AI Generated] What Causes Multiple Skin Tags?

1st June 2018

OpenAI NN input: Skin tags are harmless growths on the skin that can vary in number. They are usually the same color as your skin or slightly darker. These tiny pieces of tissue are composed of blood vessels and a type of protein fiber called collagen. They project from the surrounding skin on a thin […]

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How Machine Learning Technology Detects Skin Diseases

10th December 2018

While you most likely don’t realize it, machine learning is often used in your daily life. For example, when social media suggests tagging your friends in pictures because it recognizes them, or the spam filter on your email account removing unwanted emails. In healthcare, machine learning also takes its part in recognizing skin cancer. Machine […]

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