Identification of cardiac wall motion abnormalities in diverse populations by deep learning of the electrocardiogram.

Cardiac wall motion abnormalities (WMA) are strong predictors of mortality, but current screening methods using Q waves from electrocardiograms (ECGs) have limited accuracy and vary across racial and ethnic groups. This study aimed to identify novel ECG features using deep learning to enhance WMA detection, referencing echocardiography as the gold standard. We collected ECG and echocardiogram data from 35,210 patients in California and labeled WMA using unstructured language parsing of echocardiographic reports.

Patterns of Brain Injury and Clinical Outcomes Related to Trauma from Collisions Involving Motor Vehicles.

: Despite improvements in technology and safety measures, injuries from collisions involving motor vehicles (CIMVs) continue to be prevalent. Therefore, our goal is to investigate the different patterns of head injuries associated with CIMVs. : This is a single-center, retrospective study of patients with motor vehicle-related trauma between 1 January 2016-31 December 2023.

Lactate Is a Strong Predictor of Poor Outcomes in Patients with Severe Traumatic Brain Injury.

Lactate is a byproduct of glycolysis, often linked to oxygen deprivation. This study aimed to examine how lactate levels (LLs) affect clinical outcomes in patients with severe TBI, hypothesizing that higher LLs would correlate with worse outcomes. : This is a level 1 single-center, retrospective study of patients with severe TBI between 1 January 2020 and 31 December 2023, inclusive.

A Randomized, Double-Blind, Placebo-Controlled Study to Evaluate the Safety and Efficacy of a Nutraceutical Supplement With Standardized Botanicals in Males With Thinning Hair.

Background: Hair thinning in men is a prevalent issue for which treatment oftentimes consists of a multi-modal approach. Targeting key root causes of hair thinning, such as hormones, stress, and metabolism through vitamins, minerals, and botanicals, has been shown to be effective in improving hair growth and quality in women. This approach could also be effective in improving hair growth and quality in men with thinning hair.

Employing Mesoporous Nitrogen Containing Carbon for Simultaneous Electrochemical Detection of Heavy Metal Ions.

Heavy metal ions are major contributors to water pollution, posing significant threats to both ecological balance and human health due to their carcinogenic properties. The increasing need for heavy metal detection highlights the advantages of electrochemical methods, which offer high sensitivity and efficiency. Herein mesoporous nitrogen containing carbon (MNC) was utilized for the simultaneous determination of heavy metals using square wave voltammetry technique in the established conditions of a buffer pH of 5.