Project Partners

AQUILAB by Coexya

AQUILAB by Coexya is a recognized software provider with more than 20 years of expertise in Oncology. 

David Gibon, Director of AQUILAB by Coexya, with over 25 years of experience in driving innovation and software development in oncology, is WP Leader in TETRIS Project and his team includes Stéphanie Devaux, Alexandre Charvier and Romain Cauhet. 

AQB leads WP6 – Software tool and is responsible for developing a CE-marked software platform to automatically compute the single patient risk scores (from low-level to increased complexity) for severe cardiac and pulmonary side effects and second cancers. These scores will be derived from DICOM-RT (including CT image feature extraction) combined with demographics, genetics, transcriptomics, and cellular sensitivity biomarkers. 

The global objective of AQUILAB is to bridge the gap between model development and clinical implementation. 

AQUILAB is also part of WP2 – Long-term Side Effects Modelling, WP3 – Imaging, WP4 – Genetics, WP5 – Transcriptomics, WP9 – Prospective collection and WP10 – Dissemination and Exploitation.    

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@projectetris
🔍 Curious about how you can retrieve quantitative biology from medical images?

Within the TETRIS Educational Series, Claudio Fiorino recently delivered a webinar titled “Methods for assessing imaging biomarkers in breast cancer radiotherapy within the TETRIS project.”

In this session, he explored how imaging biomarkers and radiomics can help improve risk assessment and support safer, more personalised radiotherapy.

🎥 The recording and presentation will soon be available online. Stay tuned!

Università Vita-Salute San Raffaele @unisr

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⏳ Final Call for Abstracts: VPH 2026 in Milan!

This is the last week to submit your abstract for the VPH 2026 Conference, taking place in Milan, 1-4 September 2026.

Experts, researchers, and innovators are invited to contribute to the dedicated track:
🔬 In Silico Oncology

Within the programme, Tiziana Rancati and Paolo Zunino are coordinating the track “In Silico Oncology”, covering topics such as:
• Multiscale and computational cancer modelling
• AI and machine learning for oncology
• Digital twins and patient-specific models
• Imaging and multimodal data integration
• Translational modelling approaches

📅 Submission Deadline: March 2nd
🔗 Submit your abstract here: https://vph-conference.org/abstract-submission/
🔗 Learn more about the conference and programme: https://vph-conference.org/programme/

Don’t miss the opportunity to contribute to one of the leading international conferences on digital twins and in silico medicine.

#VPH2026 #InSilicoOncology #DigitalTwins #CancerResearch #ComputationalMedicine 

@polimi

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