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Università della Svizzera italiana

Richter syndrome

Condoluci, Adalgisa ; Rossi, Davide

In: Current Oncology Reports, 2021, vol. 23, no. 3, p. 10

Purpose of Review Richter syndrome (RS) is an uncommon but aggressive evolution of chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL). RS is an unmet clinical need in the field of CLL. Recent advances in understanding the biology of this condition provide the rationale for testing new therapeutic concepts in order to improve the outcome of patients developing RS, which is so far...

Università della Svizzera italiana

SARS-CoV-2 Ig G among HealthcareWorkers and the General Population

Milani, Gregorio P. ; Bianchetti, Mario G. ; Togni, Giuseppe ; Schoenenberger, Andreas W. ; Muggli, Franco

In: Pathogens, 2021, vol. 10, no. 4, p. 6

It is assumed that healthcare workers are at the highest risk to be infected by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, few data from healthcare workers who do not primarily take care of patients with SARS-CoV-2 infection support this assumption. We investigated the prevalence of immunoglobulin G (Ig G) against SARS-CoV-2 among healthcare workers who do not...

Università della Svizzera italiana

Electrolyte and acid-base disorders triggered by aminoglycoside or colistin therapy : a systematic review

Scoglio, Martin ; Bronz, Gabriel ; Rinoldi, Pietro O. ; Faré, Pietro B. ; Betti, Céline ; Bianchetti, Mario G. ; Simonetti, Giacomo D. ; Gennaro, Viola ; Renzi, Samuele ; Lava, Sebastiano A. G. ; Milani, Gregorio P.

In: Antibiotics, 2021, vol. 10, no. 2, p. 9

Aminoglycoside or colistin therapy may alter the renal tubular function without decreasing the glomerular filtration rate. This association has never been extensively investigated. We conducted a systematic review of the literature following the Preferred Reporting Items for Systematic Reviews and Meta- Analyses recommendations. Databases searched included United States National Library of...

Università della Svizzera italiana

Hard and soft EM in bayesian network learning from incomplete data

Ruggieri, Andrea ; Stranieri, Francesco ; Stella, Fabio ; Scutari, Marco

In: Algorithms, 2020, vol. 13, no. 12, p. 17

Incomplete data are a common feature in many domains, from clinical trials to industrial applications. Bayesian networks (BNs) are often used in these domains because of their graphical and causal interpretations. BN parameter learning from incomplete data is usually implemented with the Expectation-Maximisation algorithm (EM), which computes the relevant sufficient statistics (“soft EM”) ...

Università della Svizzera italiana

Pre-existing cardiovascular conditions as clinical predictors of myocarditis reporting with immune checkpoint inhibitors : a VigiBase study

Noseda, Roberta ; Ruinelli, Lorenzo ; van der Gaag, Linda C. ; Ceschi, Alessandro

In: Cancers, 2020, vol. 12, no. 11, p. 15

Up to 50% of myocarditis events developed in cancer patients upon treatment with immune checkpoint inhibitors (ICIs) are fatal. Therefore, identification of clinical risk factors predicting myocarditis onset during treatment with ICIs is important for the purpose of cardiac surveillance of high-risk patients. The aim of this retrospective matched case-control study was to assess whether...

Università della Svizzera italiana

6D virtual sensor for wrench estimation in robotized interaction tasks exploiting extended Kalman filter

Roveda, Loris ; Bussolan, Andrea ; Braghin, Francesco ; Piga, Dario

In: Machines, 2020, vol. 8, no. 4, p. 17

Industrial robots are commonly used to perform interaction tasks (such as assemblies or polishing), requiring the robot to be in contact with the surrounding environment. Such environments are (partially) unknown to the robot controller. Therefore, there is the need to implement interaction controllers capable of suitably reacting to the established contacts. Although standard force controllers...

Università della Svizzera italiana

Loss and revival of androgen receptor signaling in advanced prostate cancer

Formaggio, Nicolò ; Rubin, Mark A. ; Theurillat, Jean-Philippe

In: Oncogene, 2021, vol. 40, no. 7, p. 1205–1216

Targeting the androgen receptor (AR) signaling axis has been, over decades, the mainstay of prostate cancer therapy. More potent inhibitors of androgen synthesis and antiandrogens have emerged and have been successfully i mplemented in clinical practice. That said, the stronger inhibition of the AR signaling axis has led in recent years to an increase of prostate cancers that de-differentiate...

Università della Svizzera italiana

Impact of COVID-19 on the thyroid gland : an update

Scappaticcio, Lorenzo ; Pitoia, Fabián ; Esposito, Katherine ; Piccardo, Arnoldo ; Trimboli, Pierpaolo

In: Reviews in Endocrine and Metabolic Disorders, 2020, p. 13

Coronavirus disease 2019 (COVID-19) is the pandemic of the new millennium. COVID-19 can cause both pulmonary and systemic inflammation, potentially determining multi-organ dysfunction. Data on the relationship between COVID-19 and thyroid have been emerging, and rapidly increasing since March 2020. The thyroid gland and the virus infection with its associated inflammatory-immune responses are...

Università della Svizzera italiana

Testing machine learning based systems : a systematic mapping

Riccio, Vincenzo ; Jahangirova, Gunel ; Stocco, Andrea ; Humbatova, Nargiz ; Weiss, Michael ; Tonella, Paolo

In: Empirical Software Engineering, 2020, vol. 25, no. 6, p. 5193–5254

Context: A Machine Learning based System (MLS) is a software system including one or more components that learn how to perform a task from a given data set. The increasing adoption of MLSs in safety critical domains such as autonomous driving, healthcare, and finance has fostered much attention towards the quality assurance of such systems. Despite the advances in software testing, MLSs bring...

Università della Svizzera italiana

Dietary chloride deficiency syndrome : pathophysiology, history, and systematic literature review

Signorelli, Giulia C. ; Bianchetti, Mario G. ; Jermini, Luca M. M. ; Agostoni, Carlo ; Milani, Gregorio P. ; Simonetti, Giacomo D. ; Lava, Sebastiano A. G.

In: Nutrients, 2020, vol. 12, no. 11, p. 10 p

Metabolic alkalosis may develop as a consequence of urinary chloride (and sodium) wasting, excessive loss of salt in the sweat, or intestinal chloride wasting, among other causes. There is also a likely underrecognized association between poor salt intake and the mentioned electrolyte and acid–base abnormality. In patients with excessive loss of salt in the sweat or poor salt intake, the...