Metabolome modification and underlying biomarker of noise-induced hearing loss Guinea pig cochlear fluid.

Background: Noise-induced hearing loss (NIHL) is a kind of acquired sensorineural hearing loss and has shown an increasing incidence in recent years. Hence, elucidating the exact pathophysiological mechanisms and proposing effective treatment and prevention methods become the top priority. Though a great number of researches have been carried out on NIHL, few of them were focused on metabolites.

Development, External Validation, and Visualization of Machine Learning Models for Predicting Occurrence of Acute Kidney Injury after Cardiac Surgery.

Background: Cardiac surgery-associated acute kidney injury (CSA-AKI) is a major complication that results in short- and long-term mortality among patients. Here, we adopted machine learning algorithms to build prediction models with the overarching goal of identifying patients who are at a high risk of such unfavorable kidney outcomes.

Methods: A total of 1686 patients (development cohort) and 422 patients (validation cohort), with 126 pre- and intra-operative variables, were recruited from the First Medical Centre and the Sixth Medical Centre of Chinese PLA General Hospital in Beijing, China, respectively.

Machine learning-based dynamic prediction of lateral lymph node metastasis in patients with papillary thyroid cancer.

Objective: To develop a web-based machine learning server to predict lateral lymph node metastasis (LLNM) in papillary thyroid cancer (PTC) patients.

Methods: Clinical data for PTC patients who underwent primary thyroidectomy at our hospital between January 2015 and December 2020, with pathologically confirmed presence or absence of any LLNM finding, were retrospectively reviewed. We built all models from a training set (80%) and assessed them in a test set (20%), using algorithms including decision tree, XGBoost, random forest, support vector machine, neural network, and K-nearest neighbor algorithm.

Morphology changes in the cochlea of impulse noise-induced hidden hearing loss.

Background: This study was focused on impulse noise induces hidden hearing loss.

Objectives: This study was designed to determine the morphology changes of noise-induced hidden hearing loss (NIHHL).

Method: Fifteen guinea pigs were divided into three groups: noise-induced hidden hearing loss (NIHHL) group, noise-induced hearing loss (NIHL) group, and normal control group.

Automatic Recognition of Auditory Brainstem Response Characteristic Waveform Based on Bidirectional Long Short-Term Memory.

Auditory brainstem response (ABR) testing is an invasive electrophysiological auditory function test. Its waveforms and threshold can reflect auditory functional changes in the auditory centers in the brainstem and are widely used in the clinic to diagnose dysfunction in hearing. However, identifying its waveforms and threshold is mainly dependent on manual recognition by experimental persons, which could be primarily influenced by individual experiences.