11/05/2023.
iToBoS project presents the second out of a series of three online educational modules for the European Melanoma patient community. The kick-off session was on May 11th, 2023.
11/05/2023.
iToBoS project presents the second out of a series of three online educational modules for the European Melanoma patient community. The kick-off session was on May 11th, 2023.
10/05/2023.
Prof. Rafael Garcia (University of Girona), coordinator of iToBoS project, attended the annual Conference of the European Association of Melanoma Patients (MPNE 2023).
8/05/2023.
As part of iToBoS educational module prs4pa- polygenic risk scores for patient advocates- we will be reading 'Understand your DNA' as an introduction to genetics in the form of a book club.
6/05/2023.
University of Trieste, partner of iToBoS project, organized in Trieste the Master Course IMI on the management of melanoma and non-melanoma skin cancers patients.
4/05/2023.
The Foundation Clinic for Biomedical Research (FCRB) have started with the iToBoS Data Acquisition Clinical Trial, taking place at the Hospital Clinic of Barcelona.
2/05/2023.
In a past post, we explained that the biggest limitation of liquid lenses is gravity-induced coma aberrations which cause worse optical performance when the lenses are used with their optical axis oriented differently than vertical.
1/05/2023.
The Data4Business Days, hosted by EnBW Köln, are a week-long event for the exchange of Data- and AI professionals.
30/04/2023.
On April 28th-30th 2023, 89 Melanoma patients, carers and patient advocates from 24 countries within and outside the European Union met for the first full post-Covid annual MPNE conference by the iToBoS project partner.
28/04/2023.
The decision to integrate liquid lenses into iToBoS’ full-body scanner was taken due to the need to take thousands of pictures in the shortest amount of time.
26/04/2023.
Diffusion models rival and can even surpass GANs on image synthesis, as they are able to generate more diverse outputs by having a better coverage of the data distribution and do not suffer from mode collapse and training instabilities of GANs.