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Your search keyword '"Brambilla, A."' showing total 17 results
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17 results on '"Brambilla, A."'

1. Clinical, pathological, and oncological outcomes in unclassified renal cell carcinoma compared to clear cell renal cell carcinoma

Author

Sawczyn, Guilherme, Brambilla, Caio, Rodrigues, Gilberto Jose, Pereira, Maykon William Aparecido Pires, Cardili, Leonardo, Carvalho, Paulo Afonso de, Gallucci, Fabio Pescarmona, Sarkis, Álvaro Sadek, Nahas, William Carlos, and Cordeiro, Mauricio Dener

Subjects
Medical research, Medicine, Experimental, Metastasis -- Research -- Development and progression, Pazopanib -- Research, Liver -- Research, Carcinoma, Renal cell -- Research -- Development and progression, Health, World Health Organization
Abstract

Purpose: This study aims to assess the impact of unclassified renal cell carcinoma (uRCC) on clinical, pathological, and oncological outcomes compared with clear cell renal cell carcinoma (ccRCC). Materials and Methods: We analyzed the data of 48 uRCC and 688 ccRCC cases, collected from a histopathological database at a single center from July 2011 to August 2019. uRCC cases were confirmed according to the 2016 World Health Organization classification. Baseline characteristics, clinical findings, and oncological outcomes were compared between the groups. Results: Patients with uRCC exhibited the same clinical symptoms as ccRCC patients, a higher prevalence of lymphadenopathy (31.2 vs. 15.8, P < 0.01), and greater sarcomatoid/rhabdoid differentiation on histology (12.5 vs. 5, P = 0.03) compared to ccRCC patients. Although there was no difference regarding overall metastasis at initial diagnosis, distant lymphadenopathy (16.7 vs. 7.8, P = 0.04) and liver metastasis (8.9 vs. 2.8, P = 0.04) were more common in the uRCC group. The two groups had similar high-grade (HG) frequency on histology (62.5 for uRCC vs. 53.7 for ccRCC, P = 0.23). The estimated recurrence-free survival at 48 months was 94.3 for uRCC, 92.5 for low-grade (LG) ccRCC (P = 0.91), and 66.5 for HG ccRCC (P < 0.01). The estimated overall survival at 48 months was 66.1 for uRCC, 87.4 for LG ccRCC (P = 0.75), and 63.4 for HG ccRCC (P < 0.01). Conclusion: Our study demonstrates that uRCC has significantly higher rates of lymphadenopathy, sarcomatoid differentiation, and liver metastasis compared to ccRCC. Despite these differences, uRCC presents with similar clinical symptoms and histological grade as ccRCC. Furthermore, uRCC exhibits a recurrence rate comparable to LG ccRCC and an overall survival rate similar to HG ccRCC., Author(s): Guilherme Sawczyn (corresponding author) [1]; Caio Brambilla [1]; Gilberto Jose Rodrigues [1]; Maykon William Aparecido Pires Pereira [1]; Leonardo Cardili [2]; Paulo Afonso de Carvalho [1]; Fabio Pescarmona Gallucci [...]

Published
2025
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2. A Critical Review on Physiological Data Analysis Techniques: Machine Learning in Acoustic Perceptions

Author

Du, Yuqing, Brambilla, Arianna, Globa, Anastasia, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Lu, Xinzheng, Series Editor, and Berardi, Umberto, editor

Published
2025
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3. Increasing the Building Envelope Resilience to Moisture and Mould Growth

Author

Saavedra Toro, Natalia, Brambilla, Arianna, Kuru, Aysu, Gasparri, Eugenia, Berardi, Umberto, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Lu, Xinzheng, Series Editor, and Berardi, Umberto, editor

Published
2025
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4. Integrating Large Language Models and Knowledge Graphs for Extraction and Validation of Textual Test Data

Author

De Santis, Antonio, Balduini, Marco, De Santis, Federico, Proia, Andrea, Leo, Arsenio, Brambilla, Marco, Della Valle, Emanuele, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Demartini, Gianluca, editor, Hose, Katja, editor, Acosta, Maribel, editor, Palmonari, Matteo, editor, Cheng, Gong, editor, Skaf-Molli, Hala, editor, Ferranti, Nicolas, editor, Hernández, Daniel, editor, and Hogan, Aidan, editor

Published
2025
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7. Decoding KRAS mutation in non-small cell lung cancer patients receiving immunotherapy: A retrospective institutional comparison and literature review

Author

Urtecho, S. Berenice, Provenzano, Leonardo, Spagnoletti, Andrea, Bottiglieri, Achille, Pircher, Chiara, Massa, Giacomo, Sposetti, Caterina, Proto, Claudia, Brambilla, Marta, Occhipinti, Mario, Mazzeo, Laura, Beninato, Teresa, Leporati, Rita, Giani, Claudia, Cavalli, Chiara, Serino, Roberta, Prina, Marco Meazza, Bassetti, Anna, Nasca, Vincenzo, di Mauro, Rosa Maria, Abate, Alice, Manglaviti, Sara, Dumitrascu, Andra Diana, Liberti, Giorgia Di, Cassano, Teresa Serra, Ganzinelli, Monica, Wu, Sulin, Garassino, Marina Chiara, de Braud, Filippo G.M., Russo, Giuseppe Lo, and Prelaj, Arsela

Published
2025
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8. Towards collaborative data science in mental health research: The ECNP neuroimaging network accessible data repository

Author

Khuntia, Adyasha, Buciuman, Madalina-Octavia, Fanning, John, Stolicyn, Aleks, Vetter, Clara, Armio, Reetta-Liina, From, Tiina, Goffi, Federica, Hahn, Lisa, Kaufmann, Tobias, Laurikainen, Heikki, Maggioni, Eleonora, Martinez-Zalacain, Ignacio, Ruef, Anne, Dong, Mark Sen, Schwarz, Emanuel, Squarcina, Letizia, Andreassen, Ole, Bellani, Marcella, Brambilla, Paolo, Haren, Neeltje van, Hietala, Jarmo, Lawrie, Stephen M., Soriano-Mas, Carles, Whalley, Heather, Taquet, Maxime, Meisenzahl, Eva, Falkai, Peter, Wiegand, Ariane, and Koutsouleris, Nikolaos

Published
2025
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12. Collaborative outcomes study on health and functioning during infection times (COH-FIT): Insights on modifiable and non-modifiable risk and protective factors for wellbeing and mental health during the COVID-19 pandemic from multivariable and network analyses

Author

Solmi, Marco, Thompson, Trevor, Cortese, Samuele, Estradé, Andrés, Agorastos, Agorastos, Radua, Joaquim, Dragioti, Elena, Vancampfort, Davy, Thygesen, Lau Caspar, Aschauer, Harald, Schlögelhofer, Monika, Aschauer, Elena, Schneeberger, Andres, Huber, Christian G., Hasler, Gregor, Conus, Philippe, Cuénod, Kim Q. Do, von Känel, Roland, Arrondo, Gonzalo, Fusar-Poli, Paolo, Gorwood, Philip, Llorca, Pierre-Michel, Krebs, Marie-Odile, Scanferla, Elisabetta, Kishimoto, Taishiro, Rabbani, Golam, Skonieczna-Żydecka, Karolina, Brambilla, Paolo, Favaro, Angela, Takamiya, Akihiro, Zoccante, Leonardo, Colizzi, Marco, Bourgin, Julie, Kamiński, Karol, Moghadasin, Maryam, Seedat, Soraya, Matthews, Evan, Wells, John, Vassilopoulou, Emilia, Gadelha, Ary, Su, Kuan-Pin, Kwon, Jun Soo, Kim, Minah, Lee, Tae Young, Papsuev, Oleg, Manková, Denisa, Boscutti, Andrea, Gerunda, Cristiano, Saccon, Diego, Righi, Elena, Monaco, Francesco, Croatto, Giovanni, Cereda, Guido, Demurtas, Jacopo, Brondino, Natascia, Veronese, Nicola, Enrico, Paolo, Politi, Pierluigi, Ciappolino, Valentina, Pfennig, Andrea, Bechdolf, Andreas, Meyer-Lindenberg, Andreas, Kahl, Kai G., Domschke, Katharina, Bauer, Michael, Koutsouleris, Nikolaos, Winter, Sibylle, Borgwardt, Stefan, Bitter, Istvan, Balazs, Judit, Czobor, Pál, Unoka, Zsolt, Mavridis, Dimitris, Tsamakis, Konstantinos, Bozikas, Vasilios P., Tunvirachaisakul, Chavit, Maes, Michael, Rungnirundorn, Teerayuth, Supasitthumrong, Thitiporn, Haque, Ariful, Brunoni, Andre R., Costardi, Carlos Gustavo, Schuch, Felipe Barreto, Polanczyk, Guilherme, Luiz, Jhoanne Merlyn, Fonseca, Lais, Aparicio, Luana V., Valvassori, Samira S., Nordentoft, Merete, Vendsborg, Per, Hoffmann, Sofie Have, Sehli, Jihed, Sartorius, Norman, Heuss, Sabina, Guinart, Daniel, Hamilton, Jane, Kane, John, Rubio, Jose, Sand, Michael, Koyanagi, Ai, Solanes, Aleix, Andreu-Bernabeu, Alvaro, Cáceres, Antonia San José, Arango, Celso, Díaz-Caneja, Covadonga M., Hidalgo-Mazzei, Diego, Vieta, Eduard, Gonzalez-Peñas, Javier, Fortea, Lydia, Parellada, Mara, Fullana, Miquel A., Verdolini, Norma, Andrlíková, Eva, Janků, Karolina, Millan, Mark J., Honciuc, Mihaela, Moniuszko-Malinowska, Anna, Łoniewski, Igor, Samochowiec, Jerzy, Kiszkiel, Łukasz, Marlicz, Maria, Sowa, Paweł, Marlicz, Wojciech, Spies, Georgina, Stubbs, Brendon, Firth, Joseph, Sullivan, Sarah, Darcin, Asli Enez, Aksu, Hatice, Dilbaz, Nesrin, Noyan, Onur, Kitazawa, Momoko, Kurokawa, Shunya, Tazawa, Yuki, Anselmi, Alejandro, Cracco, Cecilia, Machado, Ana Inés, Estrade, Natalia, De Leo, Diego, Curtis, Jackie, Berk, Michael, Carvalho, Andre F., Ward, Philip, Teasdale, Scott, Rosenbaum, Simon, Marx, Wolfgang, Horodnic, Adrian Vasile, Oprea, Liviu, Alexinschi, Ovidiu, Ifteni, Petru, Turliuc, Serban, Ciuhodaru, Tudor, Bolos, Alexandra, Matei, Valentin, Nieman, Dorien H., Sommer, Iris, van Os, Jim, van Amelsvoort, Therese, Sun, Ching-Fang, Guu, Ta-wei, Jiao, Can, Zhang, Jieting, Fan, Jialin, Zou, Liye, Yu, Xin, Chi, Xinli, de Timary, Philippe, van Winkel, Ruud, Ng, Bernardo, Peña de León, Edilberto, Arellano, Ramon, Roman, Raquel, Sanchez, Thelma, Movina, Larisa, Morgado, Pedro, Brissos, Sofia, Aizberg, Oleg, Mosina, Anna, Krinitski, Damir, Mugisha, James, Sadeghi-Bahmani, Dena, Sheybani, Farshad, Sadeghi, Masoud, Hadi, Samira, Brand, Serge, Errazuriz, Antonia, Crossley, Nicolas, Ristic, Dragana Ignjatovic, López-Jaramillo, Carlos, Efthymiou, Dimitris, Kuttichira, Praveenlal, Kallivayalil, Roy Abraham, Javed, Afzal, Afridi, Muhammad Iqbal, James, Bawo, Seb-Akahomen, Omonefe Joy, Fiedorowicz, Jess, Daskalakis, Jeff, Yatham, Lakshmi N., Yang, Lin, Okasha, Tarek, Dahdouh, Aïcha, Tiihonen, Jari, Shin, Jae Il, Lee, Jinhee, Mhalla, Ahmed, Gaha, Lotfi, Brahim, Takoua, Altynbekov, Kuanysh, Negay, Nikolay, Nurmagambetova, Saltanat, Jamei, Yasser Abu, Weiser, Mark, and Correll, Christoph U

Published
2025
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14. Classification of images derived from submarine fibre optic sensing: detecting broadband seismic activity from hydroacoustic signals.

Author

Matthaiou, Ioannis, Masoudi, Ali, Araki, Eiichiro, Kodaira, Shuichi, Modafferi, Stefano, and Brambilla, Gilberto

Subjects
CONVOLUTIONAL neural networks, IMAGE recognition (Computer vision), KRIGING, ACOUSTIC imaging, SEISMIC waves
Abstract

Distributed acoustic sensing (DAS) is an optoelectronic technology that utilizes fibre optic cables to detect disturbances caused by seismic waves. Using DAS, seismologists can monitor geophysical phenomena at high spatial and temporal resolutions over long distances in inhospitable environments. Field experiments using DAS, are typically associated with large volumes of observations, requiring algorithms for efficient processing and monitoring capabilities. In this study, we present a supervised classifier trained to recognize seismic activity from other sources of hydroacoustic energy. Our classifier is based on a 2-D convolutional neural network architecture. The 55-km-long ocean-bottom fibre optic cable, located off Cape Muroto in southwest of Japan, was interrogated using DAS. Data were collected during two different monitoring time periods. Optimization of the model's hyperparameters using Gaussian Processes Regression was necessary to prevent issues associated with small sizes of training data. Using a test set of 100 labeled images, the highest-performing model achieved an average classification accuracy of 92 per cent, correctly classifying 100 per cent of instances in the geophysical class, 80 per cent in the non-geophysical class and 96 per cent in ambient noise class. This performance demonstrates the model's effectiveness in distinguishing between geophysical data, various sources of hydroacoustic energy, and ambient noise. [ABSTRACT FROM AUTHOR]

Published
2025
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15. Macrophages producing chondroitin sulfate proteoglycan‐4 induce neuro‐cardiac junction impairment in Duchenne muscular dystrophy.

Author

Milan, Marika, Maiullari, Fabio, Chirivì, Maila, Ceraolo, Maria Grazia, Zigiotto, Rebecca, Soluri, Andrea, Maiullari, Silvia, Landoni, Elisa, Silvestre, Dario Di, Brambilla, Francesca, Mauri, Pierluigi, De Paolis, Veronica, Fratini, Nicole, Crosti, Maria Cristina, Cordiglieri, Chiara, Parisi, Chiara, Calogero, Antonella, Seliktar, Dror, Torrente, Yvan, and Lanzuolo, Chiara

Subjects
CHONDROITIN sulfates, DUCHENNE muscular dystrophy, HEART fibrosis, HEART failure, HISTONE deacetylase inhibitors
Abstract

Duchenne muscular dystrophy (DMD) is caused by the absence of the full form of the dystrophin protein, which is essential for maintaining the structural integrity of muscle cells, including those in the heart and respiratory system. Despite progress in understanding the molecular mechanisms associated with DMD, myocardial insufficiency persists as the primary cause of mortality, and existing therapeutic strategies remain limited. This study investigates the hypothesis that a dysregulation of the biological communication between infiltrating macrophages (MPs) and neurocardiac junctions exists in dystrophic cardiac tissue. In a mouse model of DMD (mdx), this phenomenon is influenced by the over‐release of chondroitin sulfate proteoglycan‐4 (CSPG4), a key inhibitor of nerve sprouting and a modulator of the neural function, by MPs infiltrating the cardiac tissue and associated with dilated cardiomyopathy, a hallmark of DMD. Givinostat, the histone deacetylase inhibitor under current development as a clinical treatment for DMD, is effective at both restoring a physiological microenvironment at the neuro‐cardiac junction and cardiac function in mdx mice in addition to a reduction in cardiac fibrosis, MP‐mediated inflammation, and tissue CSPG4 content. This study provides novel insight into the pathophysiology of DMD in the heart, identifying potential new biological targets. © 2024 The Author(s). The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland. [ABSTRACT FROM AUTHOR]

Published
2025
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16. Histologic Transformation of ALK-Rearranged Lung Adenocarcinomas to High-Grade LCNEC: Clinical and Molecular Description of Three Cases

Author

Ambrosini, Paolo, Miliziano, Daniela, Liberti, Giorgia Di, Lorenzini, Daniele, Marchesi, Silvia, Bassetti, Anna, Tamborini, Elena, Leporati, Rita, Beninato, Teresa, Mazzeo, Laura, Brambilla, Marta, Ganzinelli, Monica, Prelaj, Arsela, Proto, Claudia, Braud, Filippo Guglielmo De, Russo, Giuseppe Lo, and Occhipinti, Mario

Published
2025
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17. Musk Investments Not a Threat to Italy, Meloni Tells Corriere.

Author

Colten, Jerrold and Brambilla, Alberto

Subjects
SNAP elections, AWARD presentations, ARTIFICIAL intelligence, PRESIDENTS-elect, NATIONAL interest, BILLIONAIRES
Abstract

Prime Minister Giorgia Meloni reassured that investments by Elon Musk's companies do not pose a threat to Italy's national security. Meloni and Musk have discussed potential investment opportunities in space and artificial intelligence sectors, with Italy's new regulatory framework allowing foreign space companies to operate in the country. While Meloni praised Musk as a genius, other European politicians have criticized him, with German leaders condemning his support for a far-right party. Musk, a key figure in the US government, will have a top advisory role in the new administration. [Extracted from the article]

Published
2025

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