Research Project
iHelp: Artificial Intelligence against Pancreatic Cancer
iHelp aims at applying Artificial Intelligence and Decision Support techniques based on patient data to:
iHelp delivers a customisable framework enabling the collection, integration and management of health-related data from various sources (medical records, lifestyle, behaviours, etc) in a standardised structure called Holistic Health Record, aiming at providing a comprehensive view of the status of the patients including a large number of health determinants.
Data in the HHRs are analysed using AI techniques to draw adaptive learning models that are used to provide decision support through early risk predictions, personalised prevention, and intervention measures (alerts, consultations, therapies, screening, etc) delivered via user-centric mobile applications.
The project has received co-funding from the European Union's Horizon 2020 programme - Contract No. 101017441
AI models for personalised recommendations
Effective recommendations through mobile apps & wearables
HHRs for data modelling and management
Human-centric personalised interfaces
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Together with UKG, a Workforce Management platform was implemented to one of the largest luxury fashion brands to globally improve time tracking, planning, and operational efficiency.
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Applying Quantum Computing to urban logistics to optimize routes, reduce costs and emissions, improve sustainability, and tackle complex problems with scalable solutions.
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