iToBoS participated in ISE Open Innovation Challenge 2024

9/02/2024.

The iToBoS project participated in the ISE Open Innovation Challenge 2024, an international B2B meeting event that took place both in Barcelona, in the venue of the ISE Congress, and online, between January 30 and February 8, 2024.

MPNE consensus 2024 on data, AI and data-dependent business models

3/02/2024.

Melanoma Patient Network Europe is proud to announce the AI, Data, and Data-Dependent Business Models workshop took place in Berlin between 31 January and 2 February 2024 at Fraunhofer & Heinrich Hertz Institute in the framework of the iToBoS project

iToBoS project in ISE 2024

2/02/2024.

iToBoS project was present in the Integrated Systems Europe, an international exhibition dedicated to audio-visual and systems integration.

Perspectives for Generative AI at MPNE Consensus on Data Workshop

1/02/2024.

Presentation of the perspectives of generative Artificial Intelligence in melanoma at the MPNEconsensus 2024 by the iToBoS partner Leibniz University Hannover.

Transformers in Dermoscopic Image Classification

29/01/2024.

Dermoscopy is a powerful method used in dermatology to analyze the features of skin lesions.

iToBoS project was presented at 27th Annual Meeting European Dermatology Forum

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.

Semi-Supervised Learning

25/01/2024.

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

Assessing and Implementing Trustworthy AI Across Multiple Dimensions

22/01/2024.

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

European Commission and WHO/Europe form partnership agreement for Data Sharing and Governance

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.

AudioMNIST: Exploring Explainable Artificial Intelligence for audio analysis on a simple benchmark

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.