Zobrazeno 1 - 10
of 194
pro vyhledávání: '"MARIA CARLA GILARDI"'
Autor:
Sara Belloli, Michele Morari, Valentina Murtaj, Silvia Valtorta, Rosa Maria Moresco, Maria Carla Gilardi
Publikováno v:
Frontiers in Aging Neuroscience, Vol 12 (2020)
Parkinson’s disease (PD) is characterized by the loss of dopaminergic neurons in the substantia nigra pars compacta (SNpc) and the appearance of α-synuclein insoluble aggregates known as Lewy bodies. Neurodegeneration is accompanied by neuroinflam
Externí odkaz:
https://doaj.org/article/4ce2c7d9545f4385a12362d8a7f028a7
Autor:
Leonardo Rundo, Roberta Eufrasia Ledda, Christian di Noia, Evis Sala, Giancarlo Mauri, Gianluca Milanese, Nicola Sverzellati, Giovanni Apolone, Maria Carla Gilardi, Maria Cristina Messa, Isabella Castiglioni, Ugo Pastorino
Publikováno v:
Diagnostics, Vol 11, Iss 9, p 1610 (2021)
Lung cancer (LC) is currently one of the main causes of cancer-related deaths worldwide. Low-dose computed tomography (LDCT) of the chest has been proven effective in secondary prevention (i.e., early detection) of LC by several trials. In this work,
Externí odkaz:
https://doaj.org/article/ebec4db7aebf493bafe25f01ab5abdf2
Autor:
Rossana Di Martino, Massimo Camarda, Michele Cascio, Michele Gallo, Antonino Magliano, Salvatore Baldo, Alessandra Romano, Luigi Minafra, Giusi I. Forte, Giorgio Russo, Maria Carla Gilardi, Francesco Di Raimondo, Silvia Scalese, Antonino La Magna
Publikováno v:
Sensing and Bio-Sensing Research, Vol 7, Iss , Pp 162-167 (2016)
Field flow fractionation dielectrophoretic (FFF-DEP) devices are currently used, among the others, for the separation of tumor cells from healthy blood cells. To this end specific suspension/elution buffers (EBs), with reduced conductivity (with resp
Externí odkaz:
https://doaj.org/article/8b9ba2496b88451e920d9ffb19488e79
Autor:
Antonio Cerasa, Isabella Castiglioni, Christian Salvatore, Angela Funaro, Iolanda Martino, Stefania Alfano, Giulia Donzuso, Paolo Perrotta, Maria Cecilia Gioia, Maria Carla Gilardi, Aldo Quattrone
Publikováno v:
Behavioural Neurology, Vol 2015 (2015)
Presently, there are no valid biomarkers to identify individuals with eating disorders (ED). The aim of this work was to assess the feasibility of a machine learning method for extracting reliable neuroimaging features allowing individual categorizat
Externí odkaz:
https://doaj.org/article/b507af6ac1d4493f8b687506e71fc5e1
Autor:
Claudia Cava, Gloria Bertoli, Marilena Ripamonti, Giancarlo Mauri, Italo Zoppis, Pasquale Anthony Della Rosa, Maria Carla Gilardi, Isabella Castiglioni
Publikováno v:
PLoS ONE, Vol 9, Iss 5, p e97681 (2014)
Defining the aggressiveness and growth rate of a malignant cell population is a key step in the clinical approach to treating tumor disease. The correct grading of breast cancer (BC) is a fundamental part in determining the appropriate treatment. Bio
Externí odkaz:
https://doaj.org/article/a0b16599b91c44438d5db03e821434ae
Autor:
Lilia eAlberghina, Daniela eGaglio, Cecilia eGelfi, Rosa Maria Moresco, Giancarlo eMauri, Paola eBertolazzi, Cristina eMessa, Maria Carla Gilardi, Ferdinando eChiaradonna, Marco eVanoni
Publikováno v:
Frontiers in Physiology, Vol 3 (2012)
Systems Biology holds that complex cellular functions are generated as system-level properties endowed with robustness, each involving large networks of molecular determinants, generally identified by omics analyses. In this paper we describe four ba
Externí odkaz:
https://doaj.org/article/ed6000776bb14349bf19b2f2f1093e00
Autor:
Isabella Castiglioni, Nicola Sverzellati, Maria Cristina Messa, Christian di Noia, Maria Carla Gilardi, Giancarlo Mauri, Giovanni Apolone, Leonardo Rundo, Ugo Pastorino, Gianluca Milanese, Roberta Eufrasia Ledda, Evis Sala
Publikováno v:
Diagnostics, Vol 11, Iss 1610, p 1610 (2021)
Diagnostics (Basel) 11 (2021): 1610. doi:10.3390/diagnostics11091610
info:cnr-pdr/source/autori:Rundo L.; Ledda R.E.; Noia C.D.; Sala E.; Mauri G.; Milanese G.; Sverzellati N.; Apolone G.; Gilardi M.C.; Messa M.C.; Castiglioni I.; Pastorino U./titolo:A low-dose CT-based radiomic model to improve characterization and screening recall intervals of indeterminate prevalent pulmonary nodules/doi:10.3390%2Fdiagnostics11091610/rivista:Diagnostics (Basel)/anno:2021/pagina_da:1610/pagina_a:/intervallo_pagine:1610/volume:11
Diagnostics; Volume 11; Issue 9; Pages: 1610
Diagnostics
Diagnostics (Basel) 11 (2021): 1610. doi:10.3390/diagnostics11091610
info:cnr-pdr/source/autori:Rundo L.; Ledda R.E.; Noia C.D.; Sala E.; Mauri G.; Milanese G.; Sverzellati N.; Apolone G.; Gilardi M.C.; Messa M.C.; Castiglioni I.; Pastorino U./titolo:A low-dose CT-based radiomic model to improve characterization and screening recall intervals of indeterminate prevalent pulmonary nodules/doi:10.3390%2Fdiagnostics11091610/rivista:Diagnostics (Basel)/anno:2021/pagina_da:1610/pagina_a:/intervallo_pagine:1610/volume:11
Diagnostics; Volume 11; Issue 9; Pages: 1610
Diagnostics
Lung cancer (LC) is currently one of the main causes of cancer-related deaths worldwide. Low-dose computed tomography (LDCT) of the chest has been proven effective in secondary prevention (i.e., early detection) of LC by several trials. In this work,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::039e9c5e28393a4748eefb593277c2a7
https://www.repository.cam.ac.uk/handle/1810/327688
https://www.repository.cam.ac.uk/handle/1810/327688
Autor:
Giorgio Ivan Russo, Francesco Paolo Cammarata, Marcella Bonanomi, Daniela Gaglio, Carmelo Militello, Maria Carla Gilardi, Nunziatina Porcino, Margherita Baglio, G. Evangelista, Gaetano Savoca, B. Abbate, G. Iacoviello, Erika Amore, Giusi Irma Forte, Luigi Minafra, Valentina Bravatà, Maria Luisa Bondì
Publikováno v:
Scientific Reports, Vol 9, Iss 1, Pp 1-16 (2019)
Scientific reports (Nature Publishing Group) 9 (2019): 11134. doi:10.1038/s41598-019-47553-2
info:cnr-pdr/source/autori:Minafra, Luigi*; Porcino, Nunziatina*; Bravata, Valentina; Gaglio, Daniela; Bonanomi, Marcella; Amore, Erika; Cammarata, Francesco Paolo; Russo, Giorgio; Militello, Carmelo; Savoca, Gaetano; Baglio, Margherita; Abbate, Boris; Iacoviello, Giuseppina; Evangelista, Giovanna; Gilardi, Maria Carla; Bondi, Maria Luisa; Forte, Giusi Irma/titolo:Radiosensitizing effect of curcumin-loaded lipid nanoparticles in breast cancer cells/doi:10.1038%2Fs41598-019-47553-2/rivista:Scientific reports (Nature Publishing Group)/anno:2019/pagina_da:11134/pagina_a:/intervallo_pagine:11134/volume:9
Scientific Reports
Scientific reports (Nature Publishing Group) 9 (2019): 11134. doi:10.1038/s41598-019-47553-2
info:cnr-pdr/source/autori:Minafra, Luigi*; Porcino, Nunziatina*; Bravata, Valentina; Gaglio, Daniela; Bonanomi, Marcella; Amore, Erika; Cammarata, Francesco Paolo; Russo, Giorgio; Militello, Carmelo; Savoca, Gaetano; Baglio, Margherita; Abbate, Boris; Iacoviello, Giuseppina; Evangelista, Giovanna; Gilardi, Maria Carla; Bondi, Maria Luisa; Forte, Giusi Irma/titolo:Radiosensitizing effect of curcumin-loaded lipid nanoparticles in breast cancer cells/doi:10.1038%2Fs41598-019-47553-2/rivista:Scientific reports (Nature Publishing Group)/anno:2019/pagina_da:11134/pagina_a:/intervallo_pagine:11134/volume:9
Scientific Reports
In breast cancer (BC) care, radiotherapy is considered an efficient treatment, prescribed both for controlling localized tumors or as a therapeutic option in case of inoperable, incompletely resected or recurrent tumors. However, approximately 90% of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3d37c1753e6dcd9d260fdc517c4ff84
http://link.springer.com/article/10.1038/s41598-019-47553-2
http://link.springer.com/article/10.1038/s41598-019-47553-2
Autor:
Giorgio Ivan Russo, Maria Carla Gilardi, Evis Sala, Salvatore Vitabile, Carmelo Militello, Leonardo Rundo
Publikováno v:
Fundamenta informaticae 171 (2020): 345–365. doi:10.3233/FI-2020-1887
info:cnr-pdr/source/autori:Rundo L.; Militello C.; Vitabile S.; Russo G.; Sala E.; Gilardi M.C./titolo:A Survey on Nature-Inspired Medical Image Analysis: A Step Further in Biomedical Data Integration/doi:10.3233%2FFI-2020-1887/rivista:Fundamenta informaticae/anno:2020/pagina_da:345/pagina_a:365/intervallo_pagine:345–365/volume:171
info:cnr-pdr/source/autori:Rundo L.; Militello C.; Vitabile S.; Russo G.; Sala E.; Gilardi M.C./titolo:A Survey on Nature-Inspired Medical Image Analysis: A Step Further in Biomedical Data Integration/doi:10.3233%2FFI-2020-1887/rivista:Fundamenta informaticae/anno:2020/pagina_da:345/pagina_a:365/intervallo_pagine:345–365/volume:171
Natural phenomena and mechanisms have always intrigued humans, inspiring the design of effective solutions for real-world problems. Indeed, fascinating processes occur in nature, giving rise to an ever-increasing scientific interest. In everyday life
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12c88feb23b605fb7c50264704ba7ded
Autor:
Barbara Colzani, Francesco Sudati, Marilena Ripamonti, Davide Prosperi, Benedetta Riva, Sara Belloli, Maria Carla Gilardi, Rosa Maria Moresco, Paolo Rainone, Paolo Verderio, Miriam Colombo
Publikováno v:
International Journal of Nanomedicine. 12:3447-3461
The human epidermal growth factor receptor 2 (HER2) is normally associated with a highly aggressive and infiltrating phenotype in breast cancer lesions with propensity to spread into metastases. In clinic, the detection of HER2 in primary tumors and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9e9fb3762445f8a4bb5d3badefee319
https://doi.org/10.2147/ijn.s129720
https://doi.org/10.2147/ijn.s129720