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CAncer PAtients Better Life Experience (CAPABLE) First Proof-of-Concept Demonstration

Contributo in Atti di convegno
Data di Pubblicazione:
2021
Abstract:
The CAncer PAtient Better Life Experience (CAPABLE) project combines the most advanced technologies for data and knowledge management with a socio-psychological approach, to develop a coaching system for improving the quality of life of cancer patients managed at home. The team includes complementary expertise in data- and knowledge-driven AI, data integration, telemedicine and decision support. The time is right to fully exploit Artificial Intelligence for cancer care and bring the benefits right to patients’ homes. CAPABLE relies on predictive models based on both retrospective and prospective data, integrated with computer interpretable guidelines and made available to oncologists. CAPABLE’s Virtual Coach component identifies unexpected needs and provides patient-specific decision support and lifestyle guidance to improve mental and physical wellbeing of patients. The demo, designed around a use-case scenario developed with clinicians involved in the project, addresses the ESMO Diarrhea guideline. It revolves around a prototypical fictional patient named Maria. Maria, 66, is affected by renal cell carcinoma and moderate insomnia. The demo follows Maria during the first three days of using the CAPABLE system. This allows the audience to understand the scope and innovation behind this AI-based decision-support and coaching system that personalizes lifestyle and medication interventions to patients, their carer and clinicians.
Tipologia CRIS:
4.1 Contributo in Atti di convegno
Keywords:
AI; Cancer; Coaching; FAIR; FHIR; Guideline; mHealth; OMOP; Personalization; Side effects
Elenco autori:
Parimbelli, E.; Gabetta, M.; Lanzola, G.; Polce, F.; Wilk, S.; Glasspool, D.; Kogan, A.; Leizer, R.; Gisko, V.; Veggiotti, N.; Panzarasa, S.; de Groot, R.; Ottaviano, M.; Sacchi, L.; Cornet, R.; Peleg, M.; Quaglini, S.
Autori di Ateneo:
LANZOLA GIORDANO
OTTAVIANO MANUEL
PANZARASA SILVIA
PARIMBELLI ENEA
QUAGLINI SILVANA
SACCHI LUCIA
Link alla scheda completa:
https://iris.unipv.it/handle/11571/1447665
Titolo del libro:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pubblicato in:
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Journal
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Series
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