Manisha S. Patil

This study focuses on detecting fake product reviews using supervised machine learning techniques. The framework combines data collection, preprocessing, feature extraction, and feature selection methods to improve review classification. Two machine learning models, Artificial Neural Network (ANN) and Random Forest, were evaluated using accuracy, precision, recall, and F1-score metrics.

You are already at the latest version Multiple sclerosis (MS) is an autoimmune disease of the central nervous system affecting over 2.8 million people around the world. Artificial intelligence (AI) is becoming increasingly utilized in many areas including patient care for MS. AI is revolutionizing the diagnosis and treatment of MS by enhancing the accuracy and efficiency of both processes.

Abstract Reversal of ischemia is mediated by neo-angiogenesis requiring endothelial cell (EC) and pericyte interactions to form stable microvascular networks. We describe an unrecognized role for tumor necrosis factor–related apoptosis-inducing ligand (TRAIL) in potentiating neo-angiogenesis and vessel stabilization. We show that the endothelium is a major source of TRAIL in the healthy circulation compromised in peripheral artery disease (PAD).