MATHEMATICAL MODELING IN PATHOPHYSIOLOGY (FISIOMAT)
IMPRESS - IMproving Preparedness and Response of HEalth Services in major criseS
Activity time range: 2014 - 2017
Project leader: Andrea De Gaetano
Source of funding: European Community

There exists a huge variety in the occurrence and characteristics of major incidents. Incident management stakeholders and in particular emergency health service providers have to deal with two basic challenges: The disproportion between the needs and the available human/material resources in the response capacity and the inherent time constraints of an emergency. These critical factors play a seminal role in the decision-making process during a crisis event, which affects all levels of command & control (strategic, operational, tactical). The drawback with current health emergency management systems lies with the command & control operations that should coordinate the actions of the separate services and turn them into an effective, multi-faceted crisis response mechanism. IMPRESS will improve the efficiency of decision making in emergency health operations, which will have a direct impact on the quality of services provided to citizens. It will provide a consolidated concept of operations, to effectively manage medical resources, prepare and coordinate response activities, supported by a Decision Support System, using data from multiple heterogeneous sources. The proposed solution will facilitate communication between Health Services (and Emergency Responders) at all levels of response and the crisis cycle with the necessary health care systems support, supervision and management of participating organizations. It will assist health services in becoming more proactive, better prepared and interoperable with other emergency response organizations. Thus, medical emergency teams will be turned, using IMPRESS, into one coherent force. IMPRESS will catalyze a dramatic and durable impact in the way in which Health Services are provided in crisis situations, and will help improve the integration of health care actors and volunteers with other Crisis Management stakeholders, providing also an overall competitive advantage of CM-related SMEs and large businesses in Europe


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COMMODITY 12 - COntinuous Multi-parametric and Multi-layered analysis Of DIabetes TYpe 1 & 2
Activity time range: 2014 - 2015
Project leader: Andrea De Gaetano
Source of funding: European Community

In COMMODITY12 we will build a multi-layered multi-parametric infrastructure for continuous monitoring of diabetes type 1 and 2. The COMMODITY12 system will exploit multi-parametric data to provide healthcare workers and patients, with clinical indicators for the treatment of diabetes type 1 and 2. COMMODITY12 will focus on the interaction between diabetes and cardiovascular diseases. To address the 5.1b) Challenge under the FP7 ICT 7th, we propose a four-layered platform structured as follows: -Body Area Network Layer (BAN): this layer will employ sensors from the BodyTel PHS and additional Bluetooth sensors to monitor the patient physiological signals. This layer will perform multi-parametric aggregation of data for the Smart Hub layer. -The Smart Hub Layer (SHL): the BodyTel PHS at this layer receives aggregated data from the BAN and applies machine learning to classify the signals and provide indications about abnormalities in the curves. SHL will communicate with DRR over the cell-phone network. -The Data Representation And Retrieval Layer (DRR): this layer, based on the Portavita PHS to manage EHR, interfaces to the SHL and utilises existing medical data to perform information retrieval and produce structured information for the agents at the AIL. -The Artificial Intelligence Layer (AIL): this layer uses the DRR layer to retrieve structured background knowledge of the patient for intelligent agents applying diagnostic reasoning to the patient's condition. The system will be validated with diabetes (type 1 and 2) with a pilot in the form of a trial. The project outcome will aim to curb diabetes hospitalisation costs and to curb the percentage of diabetic patients experiencing cardiovascular complications. The main focus of our platform in Challenge 5.1 b) will be on “correlating the multi-parametric data with established biomedical knowledge to derive clinically relevant indicators”.


SICMA - SImulation of Crisis Management Activities
Activity time range: 2008 - 2011
Project leader: Andrea De Gaetano
Source of funding: European Community

The project objective is to improve Health Service crisis manager decision-making capabilities. This is achieved through development of SICMA which is an integrated suite of modelling and analysis tools. SICMA provides insight into the collective behaviour of the whole organisation in preparation and response to crisis scenarios.

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FIRB
Activity time range: 2005 - 2008
Project leader: Alessandro Bertuzzi
Source of funding: Ministry of Reserach

Metodi dell'analisi matematica in biologia, medicina e ambiente”


HEARTS
Activity time range: 2004 - 2007
Project leader: Andrea De Gaetano
Source of funding: European Community

Health Early Alarm Recognition and Telemonitoring System


LILLY Services S.A.
Activity time range: 2005 - 2007
Project leader: Andrea De Gaetano
Source of funding: Foreign private companies

Advancement of understanding of the long-term development of diabetes


AIRC
Activity time range: 2002 - 2003
Project leader: Salvan A.
Source of funding: Domestic private companies

Epidemiologic study of risk factors for childhood cancer”, funds AIRC (Italian Association for Research on Cancer)


BENZENE
Activity time range: 2002 - 2003
Project leader: Salvan A.
Source of funding: Domestic private companies

Genetic polymorphisms and biological monitoring of benzene”, funds “Fondazione Maugeri”


FITOSANITARI
Activity time range: 2002 - 2003
Project leader: Salvan A.
Source of funding: Public Administration

Monitoring of working populations exposed to pesticides. A pilot project”,  funds ISS (Italian National Health Institute - Istituto Superiore di Sanità)


Progetto Strategico: Metodi e Modelli Matematici nello Studio dei Fenomeni Biologici
Activity time range: 1999 - 2001
Project leader: Alessandro Bertuzzi
Source of funding: CNR

L'attività di ricerca riguarda:

  • Sviluppo di modelli di popolazione per la stima dell'eterogenità cinetica nei tumori sperimentali

  • Studio della dinamica di corde tumorali in condizioni non perturbate e sotto l'azione di trattamenti terapeutici.

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