From genes to reproductive health: Immune cell influences on abortion.

Background: The relationship between dysregulation of the immune system and reproductive health, particularly in the context of abortion, is an area of critical research. Identifying the immunological factors that contribute to abortion could provide valuable insights into its prevention and management.

Methods: This study used bidirectional two-sample Mendelian Randomization (MR) approach to evaluate the causal link between 731 immune cell features and the risk of abortion.

The Drug Shortage Era: A Scoping Review of the Literature 2001-2019.

Drug shortages continue at crisis levels in the United States, with no end in sight. Extensive research in disparate areas has been conducted to explore the impact that shortages have on patients and the healthcare system. We conducted a scoping review to categorize existing work in order to identify opportunities for further research.

Correction to: Prediction of Individual Finger Forces Based on Decoded Motoneuron Activities.

Due to an error in production, Figure 4 in the original paper shows the root mean squared error (RMSE) between the force and the neural drive estimation. The R heat map as a function of the number of motor units and the accuracy is illustrated below.

Prediction of Individual Finger Forces Based on Decoded Motoneuron Activities.

Accurate prediction of motor output based on neural signals is critical in human-machine interactions. The objective was to evaluate the performance of predicting individual finger forces through an estimation of the descending neural drive to the spinal motoneuron pool. High-density surface electromyogram (EMG) signals of the extensor digitorum communis muscle were obtained, and were then decomposed into individual motor unit discharge events.

Estimation of Finger Joint Angle Based on Neural Drive Extracted from High-Density Electromyography.

Robust human-machine interactions require accurate and intuitive interfaces. Neural signals associated with muscle activities are widely used as the interface signals. This preliminary study evaluated the feasibility of a novel neural-drive-based interface in estimating the individual finger joint angles.