iToBoS project presented at 1st Spring Biophotonics Conference in Porto


The iToBoS project was presented at the 1st Spring Biophotonics Conference in Porto (OPORTO22), through the conference titled “Multimodal optical systems for the investigation of skin diseases”.

Efficient AI Predictions through Explainability-driven Neural Network Quantization


Solving increasingly complex real-world problems, continuously contributes to the success of deep neural networks (DNNs). DNNs have long been established in numerous machine learning tasks and for this have been significantly improved in the past decade.

Explainable AI Methods - A Brief Overview


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

ECQx: Explainability-Driven Quantization for Low-Bit and Sparse DNNs


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

Overview of machine learning based approaches for non-contact dermoscopy


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

The importance of Early Detection in the light of COVID-19


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

[FR] Quelle éthique pour l’intelligence artificielle en santé ?


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

iToBoS 2nd Newsletter launched


The second issue of the iToBoS newsletter was released!!

Why the early detection of Melanoma will become more important than ever


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.

Outstanding impact of iToBoS project in the media


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.