Perspectives from Patient Advocates: Ethics and Emerging Technology - Group 2 (Part 1)

19/06/2024.

This blog is part one of the third, in a series of five, discussing the results of the Ethical AI workshop at MPNE Consensus Data 2024.

iToBoS at the AIDNID annual congress in Trieste

15/06/2024.

iToBoS was presented in the AIDNID (Associazione Italiana di Diagnostica Non Invasiva in Dermatologia) annual congress in Trieste.

Meeting of the French Society of Skin Surgery

15/06/2024.

iToBoS project was presented in the Meeting of the French Society of Skin Surgery.

Polarimetric parametres for skin evaluation

14/06/2024.

Polarized light has wide spread advantges in-vivo skin imaging and is used to various ends. In the case of pre cancer diagnostics, polarized light has been rightly able to distinguish between benign nevi, melanocytic nevus, melanoma, and normal skin. 

Automatic Pose Detection and Anonymization Using MediaPipe

11/06/2024.

MediaPipe is a set of open-source machine learning libraries created by Google that allow easy access to many models including object detection, image classification, image segmentation, and face detection.

Patient advocates vs European Health Data Space (EHDS) Regulations – a difference in perspectives?

6/06/2024.

Trilateral Research previously blogged about a workshop the team hosted on Ethical AI at MPNE Consensus Data 2024 for the iToBoS project.

Innovation in iToBoS

5/06/2024.

iToBoS project has been selected to participate in the EU Innovation Radar.

iToBoS presented in the course “Mastering Machine Learning Techniques: Application to Melanoma Detection”

1/06/2024.

Prof. Rafael Garcia from Universitat de Girona and coordinator of the iToBoS project has taught the “Mastering Machine Learning Techniques: Application to Melanoma Detection” course in Pisa between 27 and 31 May 2024.

"Meet iToBoS" worksop series: Ethical AI in iToBoS

31/05/2024.

On Friday 31st of May 2024, the MPNE hosted the latest instalment of the “Meet iToBoS” online workshop series.

Data acquisition and transmission to the main computer in the first scanner prototype

27/05/2024.

The process of data acquisition involves capturing dermoscopic images using the High-definition Imaging Module (HDIM).