The BD4QoL Project presented at the OMCEO Parma Conference on May 24th, 2025

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MultiMed Engineers presented the BD4QoL project at the Omceo Conference in Parma, titled ‘Health and AI: Ethics, Profession, Law, and Security. A comparison between Bioethics and Biolaw’.

In particular, BD4QoL was the focus of a dedicated session featuring four speakers from respective partner organizations of the BD4QoL consortium.

Franco Mercalli, managing director of MultiMed Engineers, provided an overview of the project’s objectives and approach, highlighting the challenges involved in sharing the invaluable dataset collected during the project with the research community, while simultaneously safeguarding the privacy of the patients enrolled in the study.

Prof. Chiara Copelli, from the Università di Bari, shared her experience as the lead of one of the project’s recruiting centers and discussed the benefits that the project’s apps offer to head and neck cancer survivors.

Prof. Giuseppe Fico, from the Universidad Politécnica de Madrid, outlined the future challenges posed by the rapid adoption of digital technologies and artificial intelligence approaches—such as those explored in the BD4QoL project—within the healthcare sector.

Dr. Francesco Giuliani, from Casa Sollievo della Sofferenza, presented new social robotics technologies designed to support patient follow-up and medical assistance, that can be potentially integrated within initiatives like BD4QoL to enhance long-term care for cancer survivors.

Source (in Italian): Grande partecipazione e ampie analisi di tematiche cruciali nel Convegno dell’Omceo di Parma – Ordine dei Medici Chirurghi e degli Odontoiatri della Provincia di Parma

The PROTECT-CHILD Project presented at the Privacy Symposium 2025

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From 12 to 16 May 2025, project partners MultiMed Engineers, Universidad Politécnica de Madrid and UDG Alliance attended the Privacy Symposium 2025 in Venice. The event provided an excellent opportunity to raise awareness about the PROTECT-CHILD project and its ongoing activities.
During the symposium, MultiMed Engineers contributed to the panel discussion on the European Health Data Space (EHDS), sharing the project’s perspective on the regulation. Universidad Politécnica de Madrid presented an overview of the project at the session dedicated to Digital Health. Throughout the event, UDG Alliance actively engaged with attendees by distributing project materials and information from its dedicated booth in the exhibition area.

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 PilotMultiMed 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…

IDEA4RC Newsletter #10

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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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IDEA4RC Newsletter #9

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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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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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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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