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A New Prospective in Biological and Digital Twins Through Biosensing for Frontier Research 2/2

     
   18 Sept. clessidra che gira 11:30 - 13:00
ROOM 25
health
HEALTH & NANOMEDICINE
ARTIFICIAL INTELLIGENCE AND NANOTECHNOLOGY
ARTIFICIAL INTELLIGENCE AND NANOTECHNOLOGY
TT.VI - Technical Parallel Track Sessions
A New Prospective in Biological and Digital Twins Through Biosensing for Frontier Research 2/2
Co-organized with Polytechnic University of Turin
Chair: Lucia NAPIONE, Polytechnic University of Turin

Biological and digital twin technologies aim to develop new solutions for the diagnosis, monitoring and therapy of high social impact diseases. Through a data mining approach combined with bioengineering techniques, researchers will develop digital and biological models, i.e. "digital twins" of patients and "biological twins" of organs/tissues, paving the way to the development of new tools, towards a more personalized healthcare. Moreover, the monitoring of in vitro models is becoming an issue especially when survival of Organoids from patients its crucial to proper test different therapies. In addition, assessing complex models as biological barriers models is quite complex and time consuming. In this view, integration of sensors and biosensors for continuous or spot monitoring without altering the cells’ life is a crucial aspect.
The symposium topic is related to the project D3-4HEALTH (Digital Driven Diagnostics, prognostics, and therapeutics for sustainable Health care) in the frame of PNRR-PNC.
The symposium will cover and discuss the most recent outcomes in this field, future perspective and limiting issues to overcome for practical applications. 

The symposium is part of WS.I
TT.VI.D.1
WS.I.6.1
Claudia CORONNELLO - CV
Fondazione Ri.MED
Integrating Single-Cell and Multi-Omic Technologies for Complex Biological Analysis
CORONELLO Claudia  
TT.VI.D.2
WS.I.6.2
Andrea COSOLA - CV
Polytechnic University of Turin
Gelatin-Derivatives as Platform for the Design of Diabetic Skin Models
COSOLA Andrea  
TT.VI.D.3
WS.I.6.3
Valeria PANZETTA - CV
University of Napoles
Engineering Complexity: A 3D Model of the PDAC Microenvironment for decoding spatiotemporal tumor evolution
PANZETTA Valeria  
TT.VI.D.4
WS.I.6.4
Jacopo TROISI - CV
THEOREO SRL
Metabolomics and Organoids: Bridging Functional Readouts with 3D Biology
TROISI Jacopo  
 

 

 
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