Skin Health in depth

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 learning has been used in hospitals for many years, but now you can use it yourself to track your health in the comfort of your home!

Skin cancer can happen to anyone, no matter skin type, age or overall health. While that’s true, there are different factors that determine risk, and the biggest driver of skin cancer still stems from sun behaviour.

Sadly the skin cancer rates have been steadily climbing all over the world for the past few decades now. Together with you, SkinVision has a mission to help bring these rates down and save a lot of people in the process. One of the most important things when it comes to the skin cancer problem, is awareness. The lack of awareness that is. Because if we all know how big this threat is and how we can avoid getting skin cancer, together we can fight it. This involves minors as well. When we are young we might not realize that we can already decrease the risk of getting skin cancer during our live time.

This means that we have to raise awareness for kids and at the same time take precautions for minors / teens to make sure they are not at risk. But how can you do this?

More time spent under the sun can pose a higher risk for damage to our skin. It is entirely unsurprising that an increasing amount of studies show the link between outdoor jobs and a higher incidence of skin cancer. Particularly at risk are farmers and construction workers who usually spend the majority of their days working unprotected under the sun. Let’s have a better look at the importance of sun protection for builders and farmers.