A. Catino, A. Di Gilio, J. Palmisani, M. Nisi, V. Pizzillo, T. Guarino, S. Pisconti, L. Bellantuono, R. Bellotti, D. Diacono, R. Tommasi, A. Lo Sasso, N. Varesano, P. Petrillo, E. Serra, M. Gesualdo, E.S. Montagna, M. Montrone, V. Longo, F. Pesola, P. Pizzutilo, I. Marech, G. De Gennaro, D. Galetta IRCCS Istituto Tumori “Giovanni […]
Random forest-based machine learning models to detect biomarkers in human breath for lung cancer early diagnos
1 ottobre 2025Palmisani J., Pizzillo V., Di Gilio A., Tosoni E., Facchini L., Perbellini L., de Gennaro G., Santo A.Department of Biosciences, Biotechnologies and Environment, University of Bari Aldo Moro, via Orabona 4, 70125 Bari, Italy Lung Unit, P. Pederzoli Hospital, Via Monte Baldo, 24, 37019 Peschiera del Garda (VR), ItalyPredict srl, Viale Adriatico, c/o Fiera del […]
The Role of Breath Analysis in the non-invasive early diagnosis and the follow-up of malignant pleural mesothelioma (MPM)
1 ottobre 2025Di Gilio Alessia, Palmisani Jolanda, Nisi Marirosa, Varesano Niccolò, Catino Annamaria, Galetta Domenico, de Gennaro GianluigiDepartment of Biosciences, Biotechnologies and Environment, University of Bari Aldo Moro, Bari, Italy Apulian Regional Centre for the Breath Analysis, Istituto Tumori ‘Giovanni Paolo II’, Bari, ItalyThoracic Oncology Unit, Istituto Tumori ‘Giovanni Paolo II’, Bari, Italy Introduction Malignant Pleural Mesothelioma […]
Palmisani J.1*, Di Gilio A.1, Pizzillo V.1, Tosoni E.2, de Gennaro G.1, Perbellini L.3, Santo A.2 1 Department of Biosciences, Biotechnologies and Environment, University of Bari Aldo Moro, 70125 Bari, Italy 2 Lung Unit, P. Pederzoli Hospital, 37019 Peschiera del Garda, Verona, Italy 3 University of Verona, 37129 Verona, Italy * presenting author RATIONALE OF THE STUDY: Lung cancer (LC) is one of the most aggressive tumors and the leading cause of cancer-related […]
Martina Pecoraro: Rome / ItalvAuthor Block: M. Pecoraro, S. Novelli, E. Messina, L. Laschena, C. Catalano, V. Panebianco; Rome/ITPurpose: This study aimed to deliver novel, cost-effective, evidence-based, non-invasive predictive risk-adapted diagnostic pathways for faster, earlier, more precise, accessible, and affordable detection and screening of prostate cancer. Methods or Background: A prospective single-centre cohort study, enrolling […]
Artificial Intelligence algorithms for the standardization of prostate cancer screening
9 settembre 2024Lo Sasso A., Bellantuono L., Facchini L., Amato E., Porcelli F., Frascella P., Bellotti R. Prostate cancer stands as the most prevalent cancer among males in Italy, comprising 18.5% of all male cancer diagnoses. Nearly a quarter of men receive a prostate cancer diagnosis between ages 50 and 60. Detecting this cancer early could potentially […]
Catino A.1, Di Gilio A.2,3, Palmisani J.2,3, Nisi M.R. 2, Varesano N.1, Galetta D.1, de Gennaro G.2,3 1 Thoracic Oncology Unit, Istituto Tumori ‘Giovanni Paolo II’, Bari, Italy 2 Department of Biosciences, Biotechnologies and Environment, University of Bari Aldo Moro, Bari, Italy 3 Apulian Regional Centre for the Breath Analysis, Istituto Tumori ‘Giovanni Paolo II’, Bari, Italy Introduction Malignant Pleural Mesothelioma (MPM) is a rare neoplasm cancer with still a poor prognosis and mainly […]
Manetta Rosa, Daffinà Julia, Martinese Andrea, Gazzerro Alessia, De Simone Stefano, Ciccone Vincenzo, Masciocchi Carlo, Di Cesare Ernesto Objective: The primary objective of this study is to identify and characterize a pattern of volatile compounds capable of discriminating, through appropriate statistical treatment, patients with prostate cancer (PCa) from healthy reference individuals. Materials and Methods: This prospective pilot trial was conducted in the RadiodiagnosticsDepartment […]
Artificial intelligence algorithms for prostate cancer prediction by breath analysis
20 febbraio 2024A. Lo Sasso, L. Bellantuono, R. Manetta, A. Gazzerro, R. Di Filippo, F. Porcelli, L. Facchini, P. Frascella and R. Bellotti Breath analysis is emerging as a promising screening technique. Analysis of volatile organic compounds by artificial intelligence can lead to an early warning bell by noninvasive screening. In this work, we analyze volatile organic […]
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Characterization of Volatile Organic Compounds (VOCs) in Breath via Thermal Desorption, Gas Chromatography, and Mass Spectrometry (TD-GC-MS) for Early Diagnosis of Prostate Cancer in Patients Undergoing Multiparametric Prostate MRI and Subsequent Fusion Biopsy
21 settembre 2023Manetta Rosa, Daffinà Julia, Martinese Andrea, Gazzerro Alessia, De Simone Stefano, Ciccone Vincenzo, Masciocchi Carlo, Di Cesare Ernesto Objective: The primary objective of this study is to identify and characterize a pattern of volatile compounds capable of discriminating, through appropriate statistical treatment, patients with prostate cancer (PCa) from healthy reference individuals. Materials and Methods: This prospective pilot trial was conducted in the RadiodiagnosticsDepartment […]
