No abstract

Introduction Breast and prostate cancer survivors can experience impaired quality of life (QoL) in several QoL domains. The current strategy to support cancer survivors with impaired QoL is suboptimal, leading to unmet patient needs. ASCAPE aims to provide personalized- and artificial intelligence (AI)-based predictions for QoL issues in breast- and prostate cancer patients as well as to suggest potential interventions to their physicians to offer a more modern and holistic approach on cancer rehabilitation. Methods and analyses An AI-based platform aiming to predict QoL issues and suggest appropriate interventions to clinicians will be built based on patient data gathered through medical records, questionnaires, apps, and wearables. This platform will be prospectively evaluated through a longitudinal study where breast and prostate cancer survivors from four different study sites across the Europe will be enrolled. The evaluation of the AI-based follow-up strategy through the ASCAPE platform will be based on patients’ experience, engagement, and potential improvement in QoL during the study as well as on clinicians’ view on how ASCAPE platform impacts their clinical practice and doctor-patient relationship, and their experience in using the platform. Ethics and dissemination ASCAPE is the first research project that will prospectively investigate an AI-based approach for an individualized follow-up strategy for patients with breast- or prostate cancer focusing on patients’ QoL issues. ASCAPE represents a paradigm shift both in terms of a more individualized approach for follow-up based on QoL issues, which is an unmet need for cancer survivors, and in terms of how to use Big Data in cancer care through democratizing the knowledge and the access to AI and Big Data related innovations. Trial registration Trial Registration on clinicaltrials.gov: NCT04879563.

No abstract

No abstract

Part 2: Regular PapersInternational audienceThe notion of capability has emerged in Information System engineering as the means to support development of context dependent organizational solutions and supporting IT applications. To this end the Capability Driven Development (CDD) approach has been proposed. CDD currently focuses on designing and running applications that need to be adjusted according to changes in context, which can be seen as capability support on an operational level. This paper proposes a method component of CDD for strategic capability modeling in order to support business planning. The proposed component is to be used to analyze the organization’s capabilities on a strategic level, including aspects of collaboration with other enterprises. Its application in four companies is outlined and one application of capability design for the industrial symbiosis platform presented in detail