STDs

Mixed-reality assistive robotic power chair simulator for Parkinson's tremor testing.

This note describes the development of a mixed-reality assistive robotic wheel chair simulator for t...

The usefulness of the Deep Learning method of variational autoencoder to reduce measurement noise in glaucomatous visual fields.

The aim of the study was to investigate the usefulness of processing visual field (VF) using a varia...

Multifaceted analysis of training and testing convolutional neural networks for protein secondary structure prediction.

Protein secondary structure prediction remains a vital topic with broad applications. Due to lack of...

Opening the black box of machine learning in radiology: can the proximity of annotated cases be a way?

Machine learning (ML) and deep learning (DL) systems, currently employed in medical image analysis, ...

ASAP-SML: An antibody sequence analysis pipeline using statistical testing and machine learning.

Antibodies are capable of potently and specifically binding individual antigens and, in some cases, ...

Machine Learning in Mass Spectrometry: A MALDI-TOF MS Approach to Phenotypic Antibacterial Screening.

Machine learning techniques can be applied to MALDI-TOF mass spectral data of drug-treated cells to ...

Machine learning for microbial identification and antimicrobial susceptibility testing on MALDI-TOF mass spectra: a systematic review.

BACKGROUND: The matrix assisted laser desorption/ionization and time-of-flight mass spectrometry (MA...

Creation and Testing of a Deep Learning Algorithm to Automatically Identify and Label Vessels, Nerves, Tendons, and Bones on Cross-sectional Point-of-Care Ultrasound Scans for Peripheral Intravenous Catheter Placement by Novices.

OBJECTIVES: We sought to create a deep learning (DL) algorithm to identify vessels, bones, nerves, a...

Teaching an old dog new tricks: three-dimensional visual spatialisation of viscoelastic testing and artificial intelligence.

Privacy-preserving distributed learning of radiomics to predict overall survival and HPV status in head and neck cancer.

A major challenge in radiomics is assembling data from multiple centers. Sharing data between hospit...

Comparison of Artificial Intelligence-Based Fully Automatic Chest CT Emphysema Quantification to Pulmonary Function Testing.

The purpose of this study was to evaluate an artificial intelligence (AI)-based prototype algorithm...

Comparison of Prediction Model Performance Updating Protocols: Using a Data-Driven Testing Procedure to Guide Updating.

In evolving clinical environments, the accuracy of prediction models deteriorates over time. Guidanc...

Initial classification of low back and leg pain based on objective functional testing: a pilot study of machine learning applied to diagnostics.

OBJECTIVE: The five-repetition sit-to-stand (5R-STS) test was designed to capture objective function...

Design of (quinolin-4-ylthio)carboxylic acids as new Escherichia coli DNA gyrase B inhibitors: machine learning studies, molecular docking, synthesis and biological testing.

Spread of multidrug-resistant Escherichia coli clinical isolates is a main problem in the treatment ...

Co-existence or displacement: Do street trials of intelligent vehicles test society?

This paper examines recent street tests of autonomous vehicles (AVs) in the UK and makes the case fo...

On-site testing of multiple drugs of abuse in urine by a miniature dual-LIT mass spectrometer.

There is an increasing need for rapid and on-site detection of emerging drugs of abuse. In this work...

Point-of-care cervical cancer screening using deep learning-based microholography.

Most deaths (80%) from cervical cancer occur in regions lacking adequate screening infrastructures o...

Machine Learning Interpretation of Extended Human Papillomavirus Genotyping by Onclarity in an Asian Cervical Cancer Screening Population.

This study aimed (i) to compare the performance of the BD Onclarity human papillomavirus (HPV) assay...

Integrated Data-Driven Process Monitoring and Explicit Fault-Tolerant Multiparametric Control.

We propose a novel active fault-tolerant control strategy that combines machine learning based proce...

Powdered coconut water (ACP 406®) as an alternative base culture medium for culture of goat preantral follicles enclosed in ovarian tissue.

This study evaluated a powdered coconut water solution (ACP 406®) as a base culture medium on the s...

Testing hypotheses about the underlying deficit of apraxia of speech through computational neural modelling with the DIVA model.

A recent behavioural experiment featuring a noise masking paradigm suggests that Apraxia of Speech ...