Key Facts
In KATY, we aimed to build a precise personalised medicine system empowered by Artificial Intelligence (AI), which predicts the response of kidney cancer to targeted therapies. Through the expertise of renowned research institutes and partnerships with highly-skilled SMEs, we strived to develop a product aimed at facilitating a simple conversation about treatment choices between patient and clinician, leveraging on an effective user experience.
Duration
48 Months
Budget
8.5 Million €
20 Partners
11 Countries
In KATY, the following experts worked towards making this vision a reality:
- Clinicians
- Bioinformaticians
- Computer infrastructure experts
- Data science and artificial intelligence experts (incl. knowledge representation, machine learning, mathematical foundations and infrastructure)
- Researchers for experimental validation of predictions
- Security experts
- Front end developers
- Experts on ethical and legal frameworks
- Evaluation experts
The following institutions were involved in the project:
| Academic Partners |
|---|
| UNITOV – University of Rome Tor Vergata |
| UEDIN – University of Edinburgh |
| UG – University of Gdańsk |
| USTAN – University of St Andrews |
| UNIVIE – University of Vienna |
| UNIZAR – University of Zaragoza |
| ULUND – Lund University |
| NKUA – National and Kapodistrian University of Athens |
| NTUU – National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" |
| Research Institutes |
|---|
| CEA – The French Atomic and Alternative Energy Commission |
| FC.ID – FCiências.ID – Association for Research and Development in Sciences |
| EURECAT – Fundació Eurecat |
| INT – Fondazione IRCSS Istituto Nazionale dei Tumori |
| CHU – Centre Hospitalier Universitaire de Grenoble |
| HPI – The Health Policy Institute |
| SMEs |
|---|
| CRT – Caretronic |
| DST – DSTech |
| EURICE – European Research and Project Office GmbH |
| OE – Open Evidence |
| PG – Personal Genomics |