Meet Daniel Marques and Julian Abhari of SkinCheck, pt. 1

Sociologist and Marketer at Arionkoder with a focus on creating compelling and informative content that helps our clients make great decisions and accomplish their business goals.

We’re proud to partner with Julian Abhari, CTO, and Dani Marques, CEO, as SkinCheck joins the Arionkoder Reshape Health Grants program.

Their technology addresses a critical need: accurate skin cancer detection that works for people of all skin tones. Through their AI-based app, SkinCheck is making early diagnosis more inclusive and more effective.

As part of our collaboration, we’ll work on expanding detection accuracy across a broader spectrum of skin tones.

We’re excited to help bring this impactful solution to life! Stay tuned for new updates.

See the video transcript below:

I am Dani Marques. I am the Co-founder and CEO here at SkinCheck.

So our product and solution nowadays is that we have a skin health management platform, which is the Skin Check app. And on the Skin Check app, users, patients, frontline healthcare workers are able to monitor their skin health or their patient’s skin health. They’re able to track the lesion growth or the condition’s growth over time, and they are also able to monitor their skin lesions and the skin conditions of their whole body over time. And this upcoming April, they will actually be able to connect directly to a medical provider directly through the SkinCheck app. 

Our needs before winning the grant were many and far between. From a development standpoint, there has been a lot of UX and UI development that we’ve been needing to build and execute on. There’s been a lot of different functionalities for the user side that we’ve been wanting to build as well as a few needs we have had on the actual AI development side.

We’re extremely excited to participate on the grant. We’re extremely honored to have been selected and work alongside the Arionkoder team to improve our app and usability for the over 50,000 users that we currently have as well as having the expertise of the machine learning and AI experts from the Arionkoder team to improve also our machine learning and AI models.