One of the key challenges of research in the field of computer science is assembling the appropriate infrastructure needed for scientists to successfully carry out their work.

One of the key objectives of the iToBoS project is to educate the general public about the most dangerous skin cancer melanoma and the visual signs that could help in early detection.

There is a known tension between the need to analyze personal data and the need to preserve the privacy of data subjects, especially in the health domain.

Today, we spoke to Marjolein van Kessel from Naevusglobal. 

iToBoS project was presented in AI Magazine, a digital magazine specialized in Artificial Intelligence news: the latest trends, industry insight, and influential projects.

The work "Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI", with the support of the iToBoS project, has been published.

Skin cancers are nowadays the most common neoplasms, both among women and men. In particular, melanomas are among the most rapidly growing cancers that occur even at a young age. 

Today, we spoke to Karen Gorp, one of our colleagues from Melanoma Patients Australia about why she thinks Early Detection is important for Melanoma patients and her hopes for iToBoS!

Data masking is the process by which sensitive data is replaced, with data that is unintelligible to the receiver, addressing data security and privacy requirements and regulations.

I recently took part in MIE conference in Nice, France. This year the conference focus was on “challenges of trustable AI and added value on Health”.