The KATY project

The EU-funded KATY project will develop an AI-empowered personalised medicine system that will greatly assist medical professionals and researchers in their daily work. Bringing easy-to-understand AI data to their fingertips, this next-generation technology will bridge the gap between AI data and medical application. It will thus become a powerful tool in diagnosing, treating and defeating serious illnesses. As a stress test, the KATY project will initially experiment with data from patients with a rare and complex form of kidney cancer.

KATY seeks to enable clinicians and clinical researchers to make better therapy decisions for people with one of the most dangerous cancers, clear cell renal cell carcinoma (ccRCC). The tool has the potential to identify new (molecular) evidence on the predictive value of AI solutions.

Website of the project: https://katy-project.eu/

The role of HPI

HPI will lead KATY efforts to develop a cost effectiveness and a patient preference study for our proposed AI-based intervention. The objective is to model the cost efficiency of KATY versus current treatment selection pathway, in order to optimize resource allocation and support health policy decision making. We also aim to assess patient preference for KATY process vs current paradigm to ensure optimal patient centricity in decision making.

We will publish study outputs and support the consortium with developing policy outreach materials to assist with dissemination of findings for advocacy purposes.

The HS4U project

HS4U aims to provide the tools and methods to world-class large passenger cruise ships to “self-heal” during health crisis conditions on board. One of the main assets of the project is the creation of CDF, a data and analytics platform using AI for enabling machine-human interaction that among else monitors the status of ships systems (e.g. pathogens in air, temperature, etc.), performs a risk assessment, makes short- and long-term predictions, creates scenarios and assists crew during emergency situations (automatic enabling of actuators on the ship). Next to the platform, the project will develop an innovative Viral detection sensor with unique characteristics. In order to improve the crew’s reaction during health crises on board, the programme offers training based on multi-player gaming, while a “robot-cabin” real-life demonstrator will promote and initiate stakeholders’ interest in the developed technologies.

Overall, HS4U will leverage the multidisciplinary expertise to cross-fertilize research results and the obtained data to provide a set of best practices, protocols, and recommendations to be followed during emergency situations.

Website of the project: soon to be uploaded

The role of HPI

HPI will lead HS4U efforts to define the current problems in ship prevention, mitigation and management of health hazards and the requirements that the HS4U solution must achieve. The requirements must be defined based on the cross- examination and analysis of multiple sources. A literature review on the regulations and state-of-the-art solutions for tackling the objectives of HS4U and the call will be executed.

A gap analysis will follow to define behavioral, environmental and technological issues in current state-of-play that are opportunities for HS4U. It will be created first, globally for all cruise ships and large ferries and second targeted to the HS4U concept. The latter part will define the set of requirements that the HS4U must achieve.

Having assessed the results of the gap analysis and the systematic literature review, two separate surveys will run with the help of the cruise partners. These surveys involve questionnaires to crew and passengers in order to estimate the willingness to accept the technological solutions proposed by the consortium. The results of these surveys will help the project partners to focus on the most appropriate solutions.