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Carlo Russo

As seen in: Nature, MDPI, The Epoch Times, BioRxiv, Cell Press, Emerald Publishing, British Food Journal, Lexology, Archives of Pathology, Daily Legal News

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Articles

Tumor-targeted interferon-α gene therapy for glioblastoma: a phase 1 trial

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By Bernhard Gentner, Marica Eoli, Francesca Farina, Matteo Barcella, Alessia Capotondo, Antonio Francavilla, Matteo G. Carrabba, Valeria Ferla, Alessandro Bruno, Giorgia Alvisi, Eugenio Montini, Maria Grazia Bruzzone, Francesco Di Meco, Paolo Ferroli, Francesco Acerbi, Roberto Pallini, Quintino Giorgio D’Alessandris, Alessandro Olivi, Filippo Gagliardi, Silvia Snider, Pietro Mortini, Valeria Berno, Pietro Luigi Poliani, Carlo Russo, Fabio Ciceri, Luigi Naldini, Stefania Mazzoleni, Valentina Brambilla, Mariagrazia Garramone, Nadia Coltella, Leila Hadadi, Charlotte Capt, Valeria Cuccarini, Federico G. Legnani, Monica Patanè, Amleto Fiocchi, Gaetano Finocchiaro
| Nature Verified
Abstract Glioblastoma (GBM) is an immunologically cold brain tumor with poor outcome, characterized by a myeloid-driven immunosuppressive microenvironment. Here we report an interim analysis of a first-in-human phase 1/2a dose-escalation study evaluating Temferon—a genetically engineered autologous stem cell transplant designed to deliver interferon-α2 by means of myeloid progeny recruited to the GBM TME and locally activate antitumor immunity.
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An Organizational Model of a Food Production Chain: A Case Study in the Poultry Sector in Foggia (Italy)

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By Giulio Mario Cappelletti, Carlo Russo, Pietro Russo, Filomena Chiara
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Fractal and Machine Learning analyses of MALDI-TOF Mass Spectrometry data in glioblastoma

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By Lucas Lazari, Ghasem Azemi, Carlo Russo, Livia Fernandes
| BioRxiv
Abstract Data pre-processing is a critical step in the analysis of MALDI-TOF MS spectra for machine learning applications, typically involving steps such as spectra trimming, baseline correction, smoothing, transformation, and peak picking or spectral binning. While traditional approaches focus on protein/peptide peaks as features, this study explores a novel method of feature extraction by treating MALDI-TOF spectra as time-series data.
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