STDs

INASNET: Automatic identification of coronavirus disease (COVID-19) based on chest X-ray using deep neural network.

Testing is one of the important methodologies used by various countries in order to fight against CO...

Complex machine learning model needs complex testing: Examining predictability of molecular binding affinity by a graph neural network.

Drug discovery pipelines typically involve high-throughput screening of large amounts of compounds i...

Interpretable tumor differentiation grade and microsatellite instability recognition in gastric cancer using deep learning.

Gastric cancer possesses great histological and molecular diversity, which creates obstacles for rap...

Efficient SARS-CoV-2 Quantitative Reverse Transcriptase PCR Saliva Diagnostic Strategy utilizing Open-Source Pipetting Robots.

The emergence of the recent SARS-CoV-2 global health crisis introduced key challenges for epidemiolo...

CVDF DYNAMIC-A Dynamic Fuzzy Testing Sample Generation Framework Based on BI-LSTM and Genetic Algorithm.

As one of the most effective methods of vulnerability mining, fuzzy testing has scalability and comp...

Deep Modular Bilinear Attention Network for Visual Question Answering.

VQA (Visual Question Answering) is a multi-model task. Given a picture and a question related to the...

Testing Precision Limits of Neural Network-Based Quality Control Metrics in High-Throughput Digital Microscopy.

OBJECTIVE: Digital microscopy is used to monitor particulates such as protein aggregates within biop...

A multiple testing framework for diagnostic accuracy studies with co-primary endpoints.

Major advances have been made regarding the utilization of machine learning techniques for disease d...

For whom the artificial intelligence bell tolls: preimplantation genetic testing for aneuploidy, does it toll for thee?

Advanced Deep Learning Human Herpes Virus 6 (HHV-6) Molecular Detection in Understanding Human Infertility.

To see if HHV-6 may be a cause of infertility, researchers looked at 18 men and 10 women who had une...

Deep learning based cervical screening by the cross-modal integration of colposcopy, cytology, and HPV test.

PURPOSE: To develop and evaluate the colposcopy based deep learning model using all kinds of cervica...

Data Homogeneity Effect in Deep Learning-Based Prediction of Type 1 Diabetic Retinopathy.

This study is aimed at evaluating a deep transfer learning-based model for identifying diabetic reti...

Machine learning prediction of antiviral-HPV protein interactions for anti-HPV pharmacotherapy.

Persistent infection with high-risk types Human Papillomavirus could cause diseases including cervic...

Study protocol for a two-site clinical trial to validate a smartphone-based artificial intelligence classifier identifying cervical precancer and cancer in HPV-positive women in Cameroon.

INTRODUCTION: Cervical cancer remains a major public health challenge in low- and middle-income coun...

The development of "automated visual evaluation" for cervical cancer screening: The promise and challenges in adapting deep-learning for clinical testing: Interdisciplinary principles of automated visual evaluation in cervical screening.

There is limited access to effective cervical cancer screening programs in many resource-limited set...

Novel computational models offer alternatives to animal testing for assessing eye irritation and corrosion potential of chemicals.

Eye irritation and corrosion are fundamental considerations in developing chemicals to be used in or...

Drug repurposing for COVID-19 using graph neural network and harmonizing multiple evidence.

Since the 2019 novel coronavirus disease (COVID-19) outbreak in 2019 and the pandemic continues for ...

Testing the effects of body depth on fish maneuverability via robophysical models.

Fish show a wide diversity of body shapes which affect many aspects of their biology, including swim...

A Digital Twin Approach for the Improvement of an Autonomous Mobile Robots (AMR's) Operating Environment-A Case Study.

The contemporary market creates a demand for continuous improvement of production, service, and mana...

Determination of probability of causative pathogen in infectious keratitis using deep learning algorithm of slit-lamp images.

Corneal opacities are important causes of blindness, and their major etiology is infectious keratiti...

Low-dose CT reconstruction with Noise2Noise network and testing-time fine-tuning.

PURPOSE: Deep learning-based image denoising and reconstruction methods demonstrated promising perfo...