Zobrazeno 1 - 10
of 1 088
pro vyhledávání: '"Mario Luca"'
Autor:
Abrar Ahmad, Lee-Ling Lim, Mario Luca Morieri, Claudia Ha-ting Tam, Feifei Cheng, Tinashe Chikowore, Monika Dudenhöffer-Pfeifer, Hugo Fitipaldi, Chuiguo Huang, Sarah Kanbour, Sudipa Sarkar, Robert Wilhelm Koivula, Ayesha A. Motala, Sok Cin Tye, Gechang Yu, Yingchai Zhang, Michele Provenzano, Diana Sherifali, Russell J. de Souza, Deirdre Kay Tobias, ADA/EASD PMDI, Maria F. Gomez, Ronald C. W. Ma, Nestoras Mathioudakis
Publikováno v:
Communications Medicine, Vol 4, Iss 1, Pp 1-28 (2024)
Abstract Background Precision medicine has the potential to improve cardiovascular disease (CVD) risk prediction in individuals with Type 2 diabetes (T2D). Methods We conducted a systematic review and meta-analysis of longitudinal studies to identify
Externí odkaz:
https://doaj.org/article/2d3102a1e0e8439ea59fab58f566ba07
Autor:
Alessandro Guazzo, Enrico Longato, Gian Paolo Fadini, Mario Luca Morieri, Giovanni Sparacino, Barbara Di Camillo
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Writing notes is the most widespread method to report clinical events. Therefore, most of the information about the disease history of a patient remains locked behind free-form text. Natural language processing (NLP) provides a solution to a
Externí odkaz:
https://doaj.org/article/e8d3c355070848f7955de2c1147f3064
Autor:
Alessandro Mantovani, Mario Luca Morieri, Luisa Palmisano, Maria Masulli, Efisio Cossu, Marco Giorgio Baroni, Katia Bonomo, Flavia Agata Cimini, Gisella Cavallo, Raffaella Buzzetti, Carmen Mignogna, Frida Leonetti, Simonetta Bacci, Roberto Trevisan, Riccardo Maria Pollis, Raffaella Aldigeri, Alessandra Dei Cas, Saula Vigili de Kreutzenberg, Giovanni Targher
Publikováno v:
Cardiovascular Diabetology, Vol 22, Iss 1, Pp 1-12 (2023)
Abstract Background We assessed whether hepatic steatosis with or without significant fibrosis (determined by validated non-invasive biomarkers) is associated with an increased 10-year estimated risk for cardiovascular disease (CVD) in people with ty
Externí odkaz:
https://doaj.org/article/3426980b2b164b35bbe0de730133da18
Autor:
Gian Paolo Fadini, Enrico Longato, Mario Luca Morieri, Stefano Del Prato, Angelo Avogaro, Anna Solini, Mariella Baldassarre, Agostino Consoli, Sara Morganet, Antonella Zugaro, Marco Giorgio Baroni, Francesco Andreozzi, Adriano Gatti, Stefano De Riu, Andrea Del Buono, Raffaella Aldigeri, Riccardo Bonadonna, Alessandra Dei Cas, Angela Vazzana, Monica Antonini, Valentina Moretti, Patrizia Li Volsi, Miranda Cesare, Giorgio Zanette, Silvia Carletti, Paola D'Angelo, Gaetano Leto, Frida Leonetti, Luca D'Onofrio, Ernesto Maddaloni, Raffaella Buzzetti, Simona Frontoni, Giselle Cavallo, Susanna Morano, Tiziana Filardi, Umberto Capece, Andrea Giaccari, Antonio C. Bossi, Giancarla Meregalli, Fabrizio Querci, Alessia Gaglio, Veronica Resi, Emanuela Orsi, Stefano Fazion, Ivano G. Franzetti, Cesare Berra, Silvia Manfrini, Gabriella Garrapa, Giulio Lucarelli, Lara Riccialdelli, Elena Tortato, Marco Zavattaro, Gianluca Aimaretti, Franco Cavalot, Guglielmo Beccuti, Fabio Broglio, Bruno Fattor, Giuliana Cazzetta, Olga Lamacchia, Anna Rauseo, Salvatore De Cosmo, Rosella Cau, Mariangela Ghiani, Antonino Di Benedetto, Antonino Di Pino, Salvatore Piro, Francesco Purrello, Lucia Frittitta, Agostino Milluzzo, Giuseppina Russo
Publikováno v:
The Lancet Regional Health. Europe, Vol 38, Iss , Pp 100847- (2024)
Summary: Background: Despite the overall improvement in care, people with type 2 diabetes (T2D) experience an excess risk of end-stage kidney disease. We evaluated the long-term effectiveness of dapagliflozin on kidney function and albuminuria in pat
Externí odkaz:
https://doaj.org/article/af262c8fdded4a0983a289dedffa98cc
Autor:
Carlos Roberto Bueno Junior, Arjola Bano, Yaling Tang, Xiuqin Sun, Alex Abate, Elizabeth Hall, Joanna Mitri, Mario Luca Morieri, Hetal Shah, Alessandro Doria
Publikováno v:
Cardiovascular Diabetology, Vol 22, Iss 1, Pp 1-12 (2023)
Abstract Background Impaired kidney function and albuminuria are associated with increased risk of heart failure (HF) in patients with type 2 diabetes (T2D). We investigated whether rapid kidney function decline over time is an additional determinant
Externí odkaz:
https://doaj.org/article/8b49bf14fdef4fccb9aa49f92d7ba078
Publikováno v:
Sensors, Vol 24, Iss 11, p 3485 (2024)
Cardiopathy has become one of the predominant global causes of death. The timely identification of different types of heart diseases significantly diminishes mortality risk and enhances the efficacy of treatment. However, fast and efficient recogniti
Externí odkaz:
https://doaj.org/article/79b175929afa45b7a1b4d60c409435c2
Autor:
Pia Addabbo, Mario Luca Bernardi, Filippo Biondi, Marta Cimitile, Carmine Clemente, Nicomino Fiscante, Gaetano Giunta, Danilo Orlando, Linjie Yan
Publikováno v:
IEEE Access, Vol 11, Pp 23647-23658 (2023)
One of the greatest limitations of Synthetic Aperture Radar imagery is the capability to obtain an arbitrarily high spatial resolution. Indeed, despite optical sensors, this capability is not just limited by the sensor technology. Instead, improving
Externí odkaz:
https://doaj.org/article/455638d20d274313821675f10361f0fd
Autor:
Mario Luca Morieri, Enrico Longato, Barbara Di Camillo, Giovanni Sparacino, Angelo Avogaro, Gian Paolo Fadini
Publikováno v:
Cardiovascular Diabetology, Vol 21, Iss 1, Pp 1-12 (2022)
Abstract Background Results of cardiovascular outcome trials enabled a shift from “treat-to-target” to “treat-to-benefit” paradigm in the management of type 2 diabetes (T2D). However, studies validating such approach are limited. Here, we exa
Externí odkaz:
https://doaj.org/article/4665cef88de54d929229a261dbca2340
Publikováno v:
PeerJ Computer Science, Vol 9, p e1394 (2023)
The use of artificial intelligence approaches in health-care systems has grown rapidly over the last few years. In this context, early detection of diseases is the most common area of application. In this scenario, thyroid diseases are an example of
Externí odkaz:
https://doaj.org/article/d67572a3e457437eb385a1c7886f5a3a
Autor:
Alessandro Guazzo, Enrico Longato, Mario Luca Morieri, Giovanni Sparacino, Bruno Franco-Novelletto, Maurizio Cancian, Massimo Fusello, Lara Tramontan, Alessandro Battaggia, Angelo Avogaro, Gian Paolo Fadini, Barbara Di Camillo
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Predicting the risk of cardiovascular complications, in particular heart failure hospitalisation (HHF), can improve the management of type 2 diabetes (T2D). Most predictive models proposed so far rely on clinical data not available at the hi
Externí odkaz:
https://doaj.org/article/1c8a53bef208449a9bb23ea74d0375c8