STDs

RoBoT: a robust Bayesian hypothesis testing method for basket trials.

A basket trial in oncology encompasses multiple "baskets" that simultaneously assess one treatment i...

A reinforcement learning model to inform optimal decision paths for HIV elimination.

The 'Ending the HIV Epidemic (EHE)' national plan aims to reduce annual HIV incidence in the United ...

DeepHPV: a deep learning model to predict human papillomavirus integration sites.

Human papillomavirus (HPV) integrating into human genome is the main cause of cervical carcinogenesi...

Automatic Recording of the Target Location During Smooth Pursuit Eye Movement Testing Using Video-Oculography and Deep Learning-Based Object Detection.

PURPOSE: To accurately record the movements of a hand-held target together with the smooth pursuit e...

Avoidable Serum Potassium Testing in the Cardiac ICU: Development and Testing of a Machine-Learning Model.

OBJECTIVES: To create a machine-learning model identifying potentially avoidable blood draws for ser...

Enhancing Military Burn- and Trauma-Related Acute Kidney Injury Prediction Through an Automated Machine Learning Platform and Point-of-Care Testing.

CONTEXT.—: Delayed recognition of acute kidney injury (AKI) results in poor outcomes in military and...

A digital health profile & maturity assessment toolkit: cocreation and testing in the Pacific Islands.

INTRODUCTION: Countries need to determine their level of digital health capability maturity to asses...

Detection of Pathogenic Variants With Germline Genetic Testing Using Deep Learning vs Standard Methods in Patients With Prostate Cancer and Melanoma.

IMPORTANCE: Less than 10% of patients with cancer have detectable pathogenic germline alterations, w...

[Simultaneous determination of four opioids in urine by solid-phase extraction and derivatization coupled with gas chromatography-mass spectrometry].

Police officers currently use the colloidal gold rapid testing method to detect heroin in the urine ...

Verbal analogy problem sets: An inventory of testing materials.

Analogical reasoning is an active topic of investigation across education, artificial intelligence (...

Classification of particle trajectories in living cells: Machine learning versus statistical testing hypothesis for fractional anomalous diffusion.

Single-particle tracking (SPT) has become a popular tool to study the intracellular transport of mol...

Combat medic testing of a novel monitoring capability for early detection of hemorrhage.

BACKGROUND: Current out-of-hospital protocols to determine hemorrhagic shock in civilian trauma syst...

Systematic analysis of supervised machine learning as an effective approach to predicate β-lactam resistance phenotype in Streptococcus pneumoniae.

Streptococcus pneumoniae is the most common human respiratory pathogen, and β-lactam antibiotics hav...

Schrödinger Spectrum Based PPG Features for the Estimation of the Arterial Blood Pressure.

In this paper, photoplethysmogram (PPG) features are combined with supervised machine learning algor...

[Establishment and clinical testing of pancreatic cancer Faster R-CNN AI system based on fast regional convolutional neural network].

To investigate the effectiveness of an enhanced CT automatic recognition system based on Faster R-C...

An Approach to Robotic Testing of the Wrist Using Three-Dimensional Imaging and a Hybrid Testing Methodology.

Robotic technology is increasingly used for sophisticated in vitro testing designed to understand th...

The embedded biases in hypothesis testing and machine learning.

[Artificial intelligence empowers laboratory medicine in Industry 4.0].

Since 2017, China, the United States, and the European Union have successively issued national-level...

Risk stratification of cervical lesions using capture sequencing and machine learning method based on HPV and human integrated genomic profiles.

From initial human papillomavirus (HPV) infection and precursor stages, the development of cervical ...

Ultrasound segmentation using U-Net: learning from simulated data and testing on real data.

Segmentation of ultrasound images is an essential task in both diagnosis and image-guided interventi...

Automatic Lumbar MRI Detection and Identification Based on Deep Learning.

The aim of this research is to automatically detect lumbar vertebras in MRI images with bounding box...