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.
‣ Forward-thinking in the biomedical and digital intensive sectors
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.
MultiMed Engineers, in cooperation with Università di Pavia, has presentend the City4Age Project to the European Geriatricians which were attending the EuGMS Congress 2017 held in Nice (France) on September 20-22, 2017.
The Project was presented as an extended abstract plus an oral presentation.
In additon, the City4Age Team attending the Conference was invited to take part at the founding workshop of the EUGMS’s Special Interest Group on Gerontechnology, in order to provide relevant insights and expertise.
In cooperation with Università di Pavia and Università del Salento, MultiMed Engineers has coauthored a paper titled Data driven MCI and frailty prevention: geriatric modelling in the City4Age project, presented at IEEE 3° International Forum on Research and Technologies for Society and Industry (RTSI 2017) held in Modena (Italy) on 11-13 September 2017. The paper presents the computational model, developed by MultiMed Engineers, Università di Pavia and Università del Salento, that drives early detection of aging conditions through unobtrusive collection of smart-city datasets.
MultiMed Engineers is participating in the European Innovation Partnership on Active and Healthy Ageing — Action Group D4 Innovation for age friendly environments, with a specific committment to create a Comprehensive model for MCI, frailty and functional decline risk detection and interventions in smart cities environments.
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 cooperation with Politecnico di Milano, MultiMed Engineers has coauthored a paper presented at theIEEE Second International Smart Cities Conference (ISC2 2016), held in Trento (Italy) on 12-15 September 2016. The paper, which is titled City4Age: Smart Cities for Health Prevention, discusses how data from smart cities and ad-hoc sensors can be harnessed for the prevention of Mild Cognitive Impairment (MCI) and frailty in aged people.
Together, the Active Assisted Living (AAL) Programme, the EIP on AHA (European Innovation Partnership on Active and Healthy Ageing) and the Joint Programming Initiative More Years, Better Lives (JPI MYBL) invite you to the European Week of Active & Healthy Ageing (EWAHA) on 2-6 November, 2020…
Continue reading: EIP on AHA Newsletter
The COVID-19 outbreak has been a major shock for the European industrial companies. Many businesses are experiencing economic difficulties as a result of the COVID-19 crisis and have had to temporarily suspend or substantially reduce their activities and the working hours of their staff…
Continue reading: Ageing@Work 3rd newsletter issue
GATEKEEPER is an initiative funded by the Horizon 2020 Framework Programme promoted by the European Commission. The main objective is to take full advantage of the potential of new technologies such as Internet of Things, Artificial Intelligence and Big Data to improve healthcare services…
Continue reading: The GATEKEEPER newsletter is here
AI models can learn to perform some tasks to human or even super-human levels, but do they then perform those tasks in a human-like way? And does that even matter so long as the outcomes are good? If we’re going to hand everything over to AI and get out of the way, then maybe not. But where humans are still involved in task performance, supervision, or evaluation, then McIlroy-Young et al. make the case that this difference in approaches really does matter.