27/01/2024.

The iToBoS project was presented at 27th Annual Meeting European Dermatology Forum, that took place in Montreux, Switzerland, from 25th to 27th of January, 2024.

25/01/2024.

Semi-supervised learning is a type of machine learning paradigm that falls between supervised and unsupervised learning.

22/01/2024.

Artificial intelligence (AI) systems have become more and more prevalent in everyday life and especially in enterprise settings.

20/01/2024.

As artificial intelligence (AI) rapidly advances, its integration into dermatology, particularly through Generative Adversarial Networks (GANs), is opening new horizons in patient education and skin cancer diagnosis.

18/01/2024.

The iToBoS project has previously written on the emergence of policy initiatives, regulatory frameworks and legislative proposals concerning a European Health Data Space.

15/01/2024.

The scientific work "AudioMNIST: Exploring Explainable Artificial Intelligence for audio analysis on a simple benchmark", supported by the iToBoS project, has been published.

11/01/2024.

Multimodal learning is the challenging task of using data from various modalities to improve the capacity of one model.

8/01/2024.

Realistic image super-resolution is the task of creating an image with perceptually realistic details from a lower quality image.

4/01/2024.

Segment Anything (SA) project tackles the three main questions for the arduous job of segmentation:

29/12/2023.

The prototype of the total body scanner of the iToBoS project, aimed at the early detection of melanoma, continues to be developed and improved.