20/04/2022.

The scientific work "Explainable AI Methods - A Brief Overview", with the support of iToBoS project, has been published.

19/04/2022.

The scientific work "ECQx: Explainability-Driven Quantization for Low-Bit and Sparse DNNs", with the support of iToBoS project, has been published.

15/04/2022.

In iToBoS, machine learning/ artificial intelligence is key to combine all the design and make the system really a standout product.

13/04/2022.

Melanoma has a poor prognosis with median survival of 6-9 months in the absence of timely diagnosis and treatment.

11/04/2022.

Intégrer l’intelligence artificielle au domaine médical, c’est se poser les bonnes questions, notamment au niveau éthique. 

7/04/2022.

The second issue of the iToBoS newsletter was released!!

4/04/2022.

On March 30th, scientists from the International Agency for Research on Cancer published a study on the Global Burden of Cutaneous Melanoma in 2020 and Projections to 2040.

1/04/2022.

iToBoS project aims to provide new opportunities and added value to society in terms of novel health solutions, patient care, innovation, technical improvements and economic development.

31/03/2022.

iToBoS was presented in the framework of a course of the Academia Española de Dermatologia y Venereologia (AEDV) in Barcelona, Spain, on March 31, 2022. 

31/03/2022.

iToBoS project has launched ai4pa (Artificial Intelligence For Patient Advocates) consisting in a training module oriented to patient advocates that serves as an introduction to transparent and explainable AI and its policy context.