SUIHTER: a new mathematical model for COVID-19. Application to the analysis of the second epidemic outbreak in Italy.

The COVID-19 epidemic is the latest in a long list of pandemics that have affected humankind in the last century. In this paper, we propose a novel mathematical epidemiological model named SUIHTER from the names of the seven compartments that it comprises: susceptible uninfected individuals (), undetected (both asymptomatic and symptomatic) infected (), isolated infected (), hospitalized (), threatened (), extinct () and recovered (). A suitable parameter calibration that is based on the combined use of the least-squares method and the Markov chain Monte Carlo method is proposed with the aim of reproducing the past history of the epidemic in Italy, which surfaced in late February and is still ongoing to date, and of validating SUIHTER in terms of its predicting capabilities.

A Graphlet-Based Topological Characterization of the Resting-State Network in Healthy People.

In this paper, we propose a graphlet-based topological algorithm for the investigation of the brain network at (RS). To this aim, we model the brain as a graph, where (labeled) nodes correspond to specific cerebral areas and links are weighted connections determined by the intensity of the (fMRI). Then, we select a number of working , namely, connected and non-isomorphic induced subgraphs.

High-intensity focused ultrasound in breast pathology: non-invasive treatment of benign and malignant lesions.

Breast neoplasms are one of the leading causes of morbidity and mortality in women. Even if surgery is the treatment of choice, other forms of less invasive radical treatment are desirable. High-intensity focused ultrasound is already established as a valid non-invasive technique that ensures tumor ablation in various organs.

Effect of preoperative breast magnetic resonance imaging on surgical decision making and cancer recurrence rates.

Purpose: To evaluate breast magnetic resonance imaging (MRI) for cancer staging and surgical planning in patients with known breast cancer, and to evaluate recurrence rates at long-term follow-up.

Methods And Materials: Institutional review board approval and patient consent were obtained. Preoperative MRI with 0.

Breast prosthesis: Management of patients after plastic surgery.

Breast augmentation and breast reconstruction are increasingly common operations. All radiologists need to be able to recognize the normal appearances of the more commonly used implants on various imaging modalities and breast radiologists in particular are facing new challenges when imaging the women involved. This work aims to review the normal and abnormal findings in women undergoing breast implant surgery using ultrasonography, mammography, and magnetic resonance imaging.