Prediction of physical violence in schizophrenia with machine learning algorithms.

Patients with schizophrenia have been shown to have an increased risk for physical violence. While certain features have been identified as risk factors, it has been difficult to integrate these variables to identify violent patients. The present study thus attempts to develop a clinically-relevant predictive tool.

Efficacy and Pharmacokinetic Considerations of Loratadine Nanoformulations and its Combinations for Pancreatic Cancer Chemoprevention.

Purpose: Pancreatic cancer (PC) is predicted to become the second leading cause of cancer associated deaths by 2020. Earlier, we confirmed the development and efficacy of our novel Loratadine Self-Microemulsifying-Drug-Delivery-System - Sulforaphane (LOR SMEDDS -SFN) nanoformulation in PC chemoprevention. In this report, we extend our studies to evaluate the PC chemoprevention efficacy of LOR SMEDDS - SFN.

Meta-Analysis of Neuropsychological Studies in Panic Disorder Patients: Evidence of Impaired Performance during the Emotional Stroop Task.

Background: Recent investigations have highlighted significant differences in verbal recall between patients with panic disorder (PD) and controls. These studies have highlighted that verbal memory and working memory could be impaired in PD.

Objectives: The objective of the present meta-analysis is to confirm this hypothesis, reviewing the studies that have investigated neurocognitive testing in PD.