MultiMed Engineers In this newsletter, we interview Roberta Gazzarata, biomedical engineer at HL7 Europe, R&D Director and Co-founder at Healthropy srl, and member of the IDEA4RC consortium, about the the project’s efforts to develop a European common data model for cancer. …
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MultiMed Engineers assessed the potential of the GATEKEEPER AI Framework in analysing real world datasets (RWD) available at AReSS Puglia, that include information on healthcare expenditure related to multimorbid chronic patients.
MultiMed Engineers conducted a series of analyses aimed at assessing the results of an e‑coaching program for active and healthy ageing directed to senior citizens in the Puglia Region, conducted in the frame of the GATEKEEPER Project.
MultiMed Engineers carried out research activities aimed to investigate the application of Data Analytics technology to the capture, analysis and interpretation of human behavior as a determinant of health. The expectation is that such effort would conduct to the definition of a digital human behaviorome that could greatly improve clinical research, by providing more informative features on people health conditions, linked to a modifiable determinant that can be used for improving health policies.
MultiMed Engineers further applied its expertise in conducting HTA studies with the MAFEIP Tool, addressing the oncology domain. The health and economic effects of using the BD2Decide prognostic models in comparison with usual TNM staging, have been evaluated on the basis of the Project’s dataset, which includes several hundreds of Head & Neck Cancer cases. Four treatment escalation and de-escalation scenarios have been analysed.
MultiMed Engineers conducted a Health Technology Assessment for evaluating the frailty prevention scheme based on the City4Age Project’s early detection system. The results show that City4Age dominates the current standard of care from the Healthcare point of view, and exhibits a very cost-effective ICER of 3,380 €/QALY from the Societal perspective, allowing to conclude that the City4Age approach is viable.
Thanks to the availablity of experimental datasets from the City4Age Athens Pilot, MultiMed Engineers investigated how Machine Learning algorithms can be leveraged to early detect frailty onset in aging citizens, living in smart-cities.
MultiMed Engineers is experimenting the application of chat-bot technology to several business cases, including a NLP-based query language for a CRM database, and a conversational application to support a business-to-business “classifieds” system.
MultiMed Engineers, with the support of Università di Pavia (Department of Internal Medicine and Therapeutics), has drafted the first version of the City4Age frailty and MCI risk model. This document, which is a public deliverable of the City4Age Project (D2.1), presents the selection of geriatrics indicators that are currently being used to elaborate the behavioural markers for MCI and frailty, envisaged by the Project.
In this newsletter, we provide an update on the fifth plenary meeting of the IDEA4RC consortium, held at ENG headquarters in Rome on 21–22 November…
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In this newsletter we introduce you to the Natural Language Processing model IDEA4RC is developing. Many of the variables that clinicians find essential for rare cancer research are hidden within clinicians’ notes, pathology reports, or radiology records. These documents are written in natural language, which can be processed by training large language models on labelled text…
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In this newsletter we introduce you to the federated learning approach to health data analysis by interviewing Frank Martin, software engineer at the Netherlands comprehensive cancer organisation (IKNL)…
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The IMPROVE project aims to make digital healthcare more efficient by using Patient Generated Health Data throughout the analyses of newly developed treatments, solutions and care pathways to benef…
Source: The IMPROVE Project Puts Patient-Generated Health Data On Focus – LifeSTech
In this newsletter we introduce you to the IDEA4RC Community of Interests, a series of activities aimed at engaging various stakeholders in the development of the IDEA4RC rare cancers data ecosystem…
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