AI-Based Analysis of Ziehl-Neelsen-Stained Sputum Smears for as a Screening Method for Active Tuberculosis.

Tuberculosis is the primary cause of death due to infection in the world. Identification of in sputum is a diagnostic test, which can be used in screening programs-especially in countries with a high incidence of tuberculosis-to identify and treat those persons with the highest risk of disseminating the infection. We previously developed an algorithm which is able to automatically detect mycobacteria on tissue; in particular, our algorithm identified acid-fast bacilli on tissue with 100% specificity, 95.

A New Method of Artificial-Intelligence-Based Automatic Identification of Lymphovascular Invasion in Urothelial Carcinomas.

The presence of lymphovascular invasion (LVI) in urothelial carcinoma (UC) is a poor prognostic finding. This is difficult to identify on routine hematoxylin-eosin (H&E)-stained slides, but considering the costs and time required for examination, immunohistochemical stains for the endothelium are not the recommended diagnostic protocol. We developed an AI-based automated method for LVI identification on H&E-stained slides.

A New Artificial Intelligence-Based Method for Identifying Mycobacterium Tuberculosis in Ziehl-Neelsen Stain on Tissue.

Mycobacteria identification is crucial to diagnose tuberculosis. Since the bacillus is very small, finding it in Ziehl-Neelsen (ZN)-stained slides is a long task requiring significant pathologist's effort. We developed an automated (AI-based) method of identification of mycobacteria.

[Vaccine against covid-19: an open question.].

For covid-19, a disease that has proved fatal in many cases, a specific therapy has not yet been found, but the vaccine. This has triggered a further series of issues. Who to vaccinate first, how to achieve the so-called "herd immunity", especially if it is right, as it is being done, start with the medical staff and immediately after safeguard the elderly which also involve the problem of a clear explanation and acceptance, through informed consent, which it can be particularly difficult to illustrate.

Male-female differences in left-handedness in Sardinia, Italy.

Males were consistently found to be more likely than females to report left-hand preference in single-hand tasks, but the literature reports negative results too. Using data from a large sample in Sardinia, we aimed at testing the links of left-handedness with sex, age, residence, and seasonality of birth. A total of 4239 participants (males = 1589; females = 2650) were recruited in public places such as high schools, university classes, or gyms in one of the major islands of Italy.

The economic burden of stroke in Italy. The EcLIPSE Study: Economic Longitudinal Incidence-based Project for Stroke Evaluation.

Stroke is the second most common cause of death in the world. The aim of this study is to estimate stroke's direct costs and productivity losses in Italy from a societal perspective and to explain cost variability. A prospective observational multicentre cost of illness study was designed.