iToBoS liquid lens nominated for PRISM Award


Every year, the international society for optics and photonics (SPIE) recognizes innovative companies with the Prism Award.

Data Augmentation in Classification and Segmentation: A Survey and New Strategies


In computer vision, deep learning models have proven instrumental in tackling various tasks, from object detection and segmentation to image classification and analysis.

ELM-75 liquid lens presented at Photonics West


Every year end of January, the international society for optics and photonics (SPIE) hosts Photonics West, the world’s largest trade show for optics, in San Francisco.

Opportunities and Challenges in Artificial Intelligence Skin Image Analyses Using Total Body Photography


In the last decade the application of artificial intelligence (AI) algorithms in dermatology to classify skin lesions, particularly melanoma, has advanced rapidly.

HPV and squamous cell carcinoma


Non-melanoma skin cancers, including squamous cell carcinoma (SCC), represent the most common form of cancer in Caucasians, with a continuing increase in incidence worldwide.

Ethical AI at MPNE Consensus Data


Trilateral Research recently attended the MPNE Consensus Data event in the framework of iToBoS project, held in Berlin between January 31st and February 2nd, 2024.

Data security and privacy at MPNE consensus 2024


IBM recently took part in the MPNE Consensus conference in Berlin, Germany.

iToBoS project was presented at “XII Reunión Anual del Grupo Español de e-Dermatología e imagen (GEDEI)”


The iToBoS project was presented at “XII Reunión Anual del Grupo Español de e-Dermatología e imagen (GEDEI)”, that took place in Madrid, Spain, on February 16th, 2024.

Dicing with data: the risks, benefits, tensions and tech of health data in the iToBoS project


Partners in the iToBoS consortium recently had their work published in a peer reviewed scientific journal, entitled Frontiers in Digital Health.

Reflections about data sharing in the healthcare sector


Actors from different sectors, backgrounds and involvement with the acquisition, access and management of health data met in Berlin in the context of the MPNE 2024 Consensus in the framework of the iToBoS project.