Key Facts

In KATY, we aim 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 strive to develop a product aimed at facilitating a simple conversation about treatment choices between patient and clinician, leveraging on an effective user experience.

48 Months
48 Months
8.5 Million €
8.5 Million €
11 Countries
20 Partners
11 Countries

In KATY, the following experts are working 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

Institutions 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
CRT – Caretronic
DST – DSTech
EURICE – European Research and Project Office GmbH
OE – Open Evidence
PG – Personal Genomics