MATHEMATICAL MODELING IN PATHOPHYSIOLOGY (FISIOMAT)
ATTENTIVE-D1: Sistema automatico di monitoraggio e predizione di eventi
Activity time range: 2021
Project leader: Antonella Farsetti
Source of funding: Public Administration

ATTENTIVE-D1: Sistema automatico di monitoraggio e predizione di eventi
Activity time range: 22/07/2021 - 22/07/2023
Project leader: Antonella Farsetti / Vincenzo Piemonte

Source of funding: Comunità Europea e Regione Lazio

Abstract. L'obiettivoo del nostro progettto dunque è lo sviluppo di un sistema di intelligenza artificiale per la predizione dei livelli di glicemia su soggetti affetti da diabete insulinotrattato con lo scopo di avvertire in tempo utile (mediante alert sonori e visivi del dispositivo indossabile e invio di messaggi di pericolo su smartphone di persone preselezionate dall'utente) il paziente prima che vada incontro ad eventi avversi e possa dunque prendere le opportune contromisure.

Call for proposals: POR FESR LAZIO 2014-2020. Public Notice "Progetti Gruppi di Ricerca 2020", link http://www.lazioeuropa.it/bandi/por_fesr_progetti_di_gruppi_di_ricerca_2020-689/

Total investment:    € 150.035,55
Grant:            € 150.000,00

Grant CNR:        € 31.083,13
TOT Campus Bio-Medico:        € 118.916,87

Grant No. A0375-2020-36667, CUP F89J21016140008

Enti finanziatori: Comunità Europea e Regione Lazio



MFAG 2019: Metabolic regulation of the DNA demethylation enzymatic machinery in pancreatic cancer
Activity time range: 2019 - 2024
Project leader: Francesco Spallotta
Source of funding: Other sources

Source of funding: Fondazione AIRC

Progetto MFAG 2019 – 23099
Link: https://www.airc.it/fondazione/cosa-facciamo/cosa-finanziamo/my-first-airc-grant

 


Search & Rescue: Emerging technologies for the Early location of Entrapped victims under Collapsed Structures & Advanced Wearables for risk assessment and First Responders Safety in SAR operations
Activity time range: 2020 - 2023
Project leader: Simona Panunzi
Source of funding: European Community

Apart from earthquakes that usually result to catastrophic structural collapses, with many people entrapped or killed (e.g. Indonesia 2018, Japan 2011, Haiti 2010, Italy 2009, Greece 1999), there are also other causes that may result into a building’s collapse, such as an accidental explosion or a terrorist attack (e.g. 9/11) in public areas or critical infrastructures (airports etc.). Moreover, natural disasters like earthquakes may trigger technological disasters, such as industrial chemical release or even fires; this dynamic or “domino effect”, as it is called may pose tremendous risks to the countries and communities and hence it is a great challenge to cope with by the first responders and relevant organizations of civil protection. First responders and rescuers need specialized instrumentations, available to all times, easily accessible that meet stringent requirements in terms of detection accuracy, quick localization, and reduction of false alarms. The S&R project will design, implement and test through a series of large scale pilot scenarios a highly interoperable, modular open architecture platform for first responders’ capitalising on expertise and technological infrastructure from both COncORDE and IMPRESS FP7 projects. The governance model of S&R will be designed to operate more effectively and its architectural structure will allow to easily incorporate next generation R&D and COTS solutions which will be possibly adopted in the future disaster management systems. The Model will also support a unified vision of the EU role and will provide a common framework to assess needs and integrate responses. The framework will enable supportive approach using a wider range of decisional support features and monitoring systems and will also give to first responders an effective and unified vision of (a) the dynamic changes going on during event’s lifetime and (b) the capabilities and resources currently deployed in the field.

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NUP153 as target to improve neurogenesis and cognitive function in AD
Activity time range: 2019 - 2022
Project leader: Claudia Colussi
Source of funding: Other sources

The Alzheimer's Association project AARG-19-614919


PRIN 2017: Identification of new biomarkers and clinical determinants for management improvement of patients with pituitary tumor related syndromes
Activity time range: 2019 - 2022
Project leader: Antonella Farsetti
Source of funding: Ministry of Reserach

Progetto MIUR PRIN 2017 -2017S55RXB


PRIN 2017: The P2X7/NLRP3 inflammasome axis: a novel target for the treatment of Type 2 Diabetes Mellitus and its vascular complications
Activity time range: 2019 - 2022
Project leader: Chiara Cencioni
Source of funding: Ministry of Reserach

Progetto MIUR PRIN 2017 - 20178YTNWC


CISAS – “Centro Internazionale di Studi Avanzati su Ambiente, ecosistema e Salute umana”
Activity time range: 2016 - 2021
Project leader: De Gaetano A.
Source of funding: Ministry of Reserach

Il progetto è finalizzato alla realizzazione di un “Centro internazionale di studi avanzati su ambiente ed impatti su ecosistema e salute umana” presso l’ex complesso monumentale Roosevelt di Palermo, sede del recentemente costituito Polo di eccellenza del Mar Mediterraneo.
Gli obiettivi principali del progetto possono essere sintetizzati nei seguenti tre punti:

  1.  ristrutturazione dell’area ed adeguamento dei locali per attività avanzate di ricerca nell’ambito scientifico di riferimento;
  2.  sviluppo di una complessa e decisa azione di ricerca scientifica volta ad una profonda comprensione dei fenomeni di inquinamento ambientale e dei loro risvolti sull’ecosistema e la salute umana, partendo  da un numero statisticamente significativo di casi studio;
  3. realizzazione di una divisione dedicata alla divulgazione ad ampio spettro e alla formazione avanzata nel settore dell’ambiente e della salute.
Progetto FISR MIUR – Delibera CIPE n. 105/2015 del 23 dicembre 2015

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IMPRESS - IMproving Preparedness and Response of HEalth Services in major criseS
Activity time range: 2014 - 2017
Project leader: De Gaetano A.
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: De Gaetano A.
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: De Gaetano A.
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: Bertuzzi A.
Source of funding: Ministry of Reserach

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


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

Health Early Alarm Recognition and Telemonitoring System


LILLY Services S.A.
Activity time range: 2005 - 2007
Project leader: De Gaetano A.
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: Bertuzzi A.
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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