Computational and Nano Technologies for Biology and Medicine


Recent technological advances in molecular biology and nanotechnology provide formidable means for the development of techniques and devices capable to measure and act at the nanometer-scale as well as the modeling at the computational level of molecular phenomena. This opens up new research opportunities in the study of the basic mechanisms underlying physiopathological conditions.  At the same time new computational methods are continuouslyl required in order to effectively store, manage, analyze, and extract information and knowledge from the acquisition of unprecedented amount of high-dimensional data.  Moreover, it became clearer and clearer that only the strict connection of this type of high‐dimensional data and the classical clinical data can give the correct framework of interpretation.

From the technological point of view the research program aims at developing novel techniques, methods, and devices that allow the characterization and controlled manipulation of biological entities from single molecules to tissue biopsies at the nano- and micro-meter scale. Such techniques and devices would find application not only in the study of the fundamental mechanisms underlying the human physiology and related pathologies, but also in the development of new diagnostic tools, novel tissue-engineering‐based clinical approaches and in the controlled delivery of drugs.

From the computational viewpoint this research program strives to study and implement statistically sound and robust methods able to deal with heterogeneous data in very high dimensions (DNA microarray, NGS, aCGH, proteomics, biomedical and molecular imaging), and distributed algorithms for the efficient computation of the required solutions. The need for solutions, which can be of use in clinical practice, extends the scope of our program to the development of electronic health record (EHR) architectures and CAD biomedical systems.


Temporary staff

Mahdi Amina Syed
Sohaib Ali
Matteo Barbieri
Cristina De Ambrosi
Margherita Squillario 
Samuele Fiorini
Lorenzo Tortolina
Massimiliano Izzo
Roberta Gazzarata
Barbara Giannini
Hassan Mahmoud
Abdulatif Amr Rashad Ahmed

ERC Keywords

PE4_4 Surface science and nanostructures
PE6_13 Bioinformatics, biocomputing, and DNA and molecular computation
PE6_11 Machine learning, statistical data processing and applications using signal processing (e.g., speech, image, video)
PE8_14 Industrial bioengineering
LS1_6 Biophysics
LS2_11 Computational biology
LS3_2 Cell biology and molecular transport mechanisms

H2020 Keywords

- Big data research
- Generi micro- and nano-electronic technologies
- Human-centric digital age
- High performance computing

- Understanding health, ageing and disease: determinants, risk factors and pathways
- Understanding diseases: systems medicine
- Understanding common mechanisms of diseases and their relevance in comorbidities
- Health promotion and disease prevention: translating ‘omics’ into stratified approaches
- Tools and technologies for advanced therapies
- Advancing active and healthy ageing with ICT: Early risk detection and intervention
- Piloting personalised medicine in health and care systems
- Advanced ICT systems and services for Integrated Care
- Self-management of health and disease and decision support systems based on predictive computer modelling used by the patient him or herself
- Digital representation of health data to improve disease diagnosis and treatment
- Advancing bioinformatics to meet biomedical and clinical needs
- eHealth interoperability

Collaboration with universities and research centers

Centro di Eccellenza per la Ricerca Biomedica (CEBR), Genova
CNR (ICAR), Palermo
CNR (IRGB), Palermo
CNR (IEIIT), Genova
Fondazione Bruno Kessler (MPBA), Trento 
IRCSS Istituto Giannina Gaslini, Genova
IRCCS AOU San Martino – IST, Genova
MIT (CBCL), Cambrdige, MA, USA
E.O. Ospedali Galliera, Genova
Polo Politecmed, Genova
Polo Tecnobionet, Genova 
Università degli Studi dell'Insubria (DSTA), Busto Arsizio
Università degli Studi di Padova (DEI), Padova
Università degli Studi di Bologna
Università degli Studi di Chieti
Università La Sapienza, Roma
University of Dundee (School of Computing), UK 



  • R. Gazzarata, F. Vergari, T. Salmon Cinotti and M. Giacomini “A standardized SOA for clinical data interchange in a cardiac telemonitoring environment”
    IEEE Journal of Biomedical and Health Informatics, 2014, in press
  • S. Salzo, S. Masecchia, A. Verri  and A. Barla. "Alternating Proximal Regularized Dictionary Learning"
    Neural Computation, 2014, in press.
  • G. Vicidomini, P. Boccacci, A. Diaspro, and M. Bertero. "Application of the split-gradient-method to 3D image deconvolution in fluorescence microscopy"
    J.Microsc., 234, 47-61, 2009.

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