COVID-19 therapy optimization by AI-driven biomechanical simulations.

The COVID-19 disease causes pneumonia in many patients that in the most serious cases evolves into the Acute Distress Respiratory Syndrome (ARDS), requiring assisted ventilation and intensive care. In this context, identification of patients at high risk of developing ARDS is a key point for early clinical management, better clinical outcome and optimization in using the limited resources available in the intensive care units. We propose an AI-based prognostic system that makes predictions of oxygen exchange with arterial blood by using as input lung Computed Tomography (CT), the air flux in lungs obtained from biomechanical simulations and Arterial Blood Gas (ABG) analysis.

Effectiveness of different modalities of cognitive remediation on symptomatological, neuropsychological, and functional outcome domains in schizophrenia: a prospective study in a real-world setting.

Objectives: The efficacy of cognitive remediation interventions in schizophrenia has been demonstrated in several experimental studies. However, the effectiveness of such treatments in the usual setting of care of schizophrenia and a direct comparison of different modalities of interventions have not been systematically analyzed. The aim of the study was to assess the effectiveness of the cognitive subprograms of Integrated Psychological Therapy (IPT-cog) and of a computer-assisted cognitive remediation (CACR) method on symptomatological, neuropsychological and functional outcome measures in schizophrenia.

Internet addiction disorder: prevalence in an Italian student population.

Background: Internet addiction is one of the latest forms of addiction that has attracted the attention of popular media and researchers in these last few years. Several authors think Internet addiction is a separate disorder that merits inclusion in DSM-V. There is considerable controversy about this opinion.