From movement detection to real-time adjustments, the process shows how robotics mimic natural human motion. Police investigate possible link between Brown University attack and shooting of MIT ...

Objective: This study aimed to develop a machine learning–based model to predict recurrence risk after perianal abscess surgery, thereby supporting personalized follow-up and intervention strategies.

RNA interference using small interfering RNAs (siRNAs) has become a mainstay of functional gene characterization and has generated over a dozen FDA-approved therapeutics and drugs in late-stage ...

A hyperbolic model for the diffusion of proteins through the blood-cerebrospinal fluid (CSF) barrier revolutionized clinical neurochemistry thirty years ago. The regression curves were informally ...

ORLANDO, Fla. — Steering clinicians toward a cascade approach for thyroid function testing cut unnecessary orders by a monthly average of 15% and concurrent orders by 19% per month, according to ...

ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...

Abstract: This paper introduces a novel method based on symmetric cryptography relying on Appell's recurrent hypergeometric functions of two variables. The implementation was done in C# and our method ...

Abstract: In this paper, we propose a new blind equalization algorithm based on bilinear recurrent neural network. In the first part, a new transmission function and cost function is designed for the ...