Giuseppe Palermo

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In this work, we present a novel approach to mass detection in digital mammograms. The great variability of the appearance of masses is the main obstacle to building a mass detection method. It is indeed demanding to characterize all the varieties of masses with a reduced set of features. Hence, in our approach we have chosen not to extract any feature, for(More)
Metastases have been widely thought to arise from rare, selected, mutation-bearing cells in the primary tumor. Recently, however, it has been proposed that breast tumors are imprinted ab initio with metastatic ability. Thus, there is a debate over whether 'phenotypic' disease progression is really associated with 'molecular' progression. We profiled 26(More)
In chronic lymphocytic leukemia (CLL) patients, disruptions of the TP53 tumor suppressor pathway by 17p13 deletion (del17p), somatic TP53 mutations, or downregulation of microRNA-34a have been associated with a poor prognosis. So far, the impact of the various TP53 defects has not been evaluated in a large cohort of previously treated and relapsed CLL(More)
Addition of rituximab (R) to fludarabine and cyclophosphamide (FC) has significantly improved patient outcomes in chronic lymphocytic leukemia (CLL). Whether baseline gene expression can identify patients who will benefit from immunochemotherapy over chemotherapy alone has not been determined. We assessed genome-wide expression of 300 pretreatment specimens(More)
A novel featureless approach to the detection of masses and microcalcifications has been adopted, based on a Support Vector Machine (SVM) classifier. This method does not rely on any feature extraction task; on the contrary, the algorithm automatically learns to detect the lesions by the examples presented to it during the training phase. Our technique(More)
IGHV3-21-using chronic lymphocytic leukemia (CLL) is a distinct entity with restricted immunoglobulin gene features and poor prognosis and is more frequently encountered in Northern than Southern Europe. To further investigate this subset and its geographic distribution in the context of a country (Italy) with both continental and Mediterranean areas, 37(More)
assessment of atypical birefringence images using scanning laser polarime-try with variable corneal compensation. New algorithms for multi-class cancer diagnosis using tumor gene expression signatures. The protein data bank: a computer-based archival file for macromolecular structures. Substructure-based support vector machine classifiers for prediction of(More)
Prepublished online December 5, 2006; Gianluca Gaidano and Valter Gattei Guarini, Giovanni Del Poeta, Richard Rosenquist, Dimitar G Efremov, Roberto Marasca, Robin Foa, Ilaria Del Principe, Giuseppe Palermo, Mia Thorselius, Massimo Degan, Renato Campanini, Anna Zucchetto, Francesco Forconi, Rossana Maffei, Emanuela M Ghia, Luca Laurenti, Pietro Bulian,(More)
The main purpose of dose-escalation trials is to identify the dose(s) that is/are safe and efficacious for further investigations in later studies. In this paper, we introduce dose-escalation designs that incorporate both the dose-limiting events and dose-limiting toxicities (DLTs) and indicative responses of efficacy into the procedure. A flexible(More)
An effective approach to cancer classification based upon gene expression monitoring using DNA microarray was introduced by [1]. Here they used DNA microarray analysis on primary breast tumours of 78 young patients without tumour cells in local lymph nodes at diagnosis, 34 from patients who developed distant metastasis within 5 years (poor prognosis group),(More)