Publications by authors named "A Malossi"

Breast carcinoma is the most prevalent cancer among women globally. It has variable clinical courses depending on the stage and clinical-biological features. This case report describes a 56-year-old female with invasive breast cancer without estrogen or progesterone receptor expression, with apocrine differentiation, and with no germline variants in the BRCA1 and BRCA2 genes.

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Article Synopsis
  • A multicentre trial named ICOS-ONE found that 27% of patients showed increased cardiac troponin levels after receiving anthracycline chemotherapy, prompting a post hoc analysis to explore long-term cardiotoxicity and monitor cardiovascular biomarkers.
  • The study involved patients with no prior cardiovascular issues, showing no significant differences in biomarker levels between those receiving preventative treatment and those treated upon experiencing elevated levels.
  • Over 36 months, there were no new cases of left ventricular dysfunction or elevated troponin; BNP levels remained stable, while PTX3 peaked shortly after treatment and then returned to baseline levels, indicating stable heart function overall.
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Background: Troponin changes over time have been suggested to allow for an early diagnosis of cardiac injury ensuing cancer chemotherapy; cancer patients with troponin elevation may benefit of therapy with enalapril. It is unknown whether a preventive treatment with enalapril may further increase the benefit.

Methods: The International CardioOncology Society-one trial (ICOS-ONE) was a controlled, open-label trial conducted in 21 Italian hospitals.

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Background: Cancer patients are frequently admitted to hospital due to acute conditions or refractory symptoms. This occurs through the emergency departments and requires medical oncologists to take an active role. The use of acute-care hospital increases in the last months of life.

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Power awareness is fast becoming immensely important in computing, ranging from the traditional high-performance computing applications to the new generation of data centric workloads. In this work, we describe our efforts towards a power-efficient computing paradigm that combines low- and high-precision arithmetic. We showcase our ideas for the widely used kernel of solving systems of linear equations that finds numerous applications in scientific and engineering disciplines as well as in large-scale data analytics, statistics and machine learning.

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