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Celebrating Milestones: Gatekeeper Project Successfully Concludes Final Review!

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We are thrilled to announce the successful completion of the final review for the EU Horizon Gatekeeper project! After years of dedication and collaboration, we have achieved significant milestones in advancing digital health solutions across Europe. đŸ’ŒđŸ’Ą

Gatekeeper has been at the forefront of innovation, revolutionizing healthcare delivery and patient outcomes. From enhancing care coordination to optimizing resource allocation, our project has made a tangible impact in the healthcare ecosystem. đŸ’ȘđŸŒđŸ’Š

We extend our heartfelt gratitude to our esteemed partners, stakeholders, and supporters who have been instrumental in this journey. Your unwavering commitment and collaboration have been the cornerstone of our success. đŸ€đŸŒđŸ”Ź

As we reflect on our achievements, we are excited about the future possibilities that lie ahead. The Gatekeeper legacy will continue to inspire and drive innovation in digital health, shaping the future of healthcare delivery worldwide. 🌍💙

Source: GATEKEEPER Project – LinkedIn Page

Investigating AI modelling for predicting healthcare expenditure based on RWD

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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.

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Assessment of an e‑coaching intervention for active and healthy ageing in the Puglia Region

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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.

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Towards a digital human “behaviorome”

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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.

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HTA for oncology prognostic models

Cattura2MultiMed 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.

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HTA shows City4Age approach as viable

 

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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.

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Detecting frailty through smart-city datasets

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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.

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Chat-bot development

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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.

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City4Age frailty and MCI risk model

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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.

Download the executive summary…

Biomedical Applications

IDEA4RC Newsletter #8

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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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Biomedical Applications

IDEA4RC Newsletter #7

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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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Biomedical Applications

IDEA4RC Newsletter #6

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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Biomedical Applications

IDEA4RC Newsletter #5

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In this newsletter we update you about the fourth plenary meeting of the IDEA4RC consortium, which took place at the National Cancer Institute in Milan on 29 and 30 April. We also share with you a new animated video introducing IDEA4RC, its vision and its ultimate goals.

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