Infectious Disease

STDs

Latest AI and machine learning research in stds for healthcare professionals.

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Showing 148-168 of 1,201 articles
Cytokine profiles as predictors of HIV incidence using machine learning survival models and statistical interpretable techniques.

HIV remains a critical global health issue, with an estimated 39.9 million people living with the vi...

anti-cancer activity of siddha metallo-mineral formulation from Thanga uram with Hela cell lines.

The second most common malignant tumour in women worldwide, cervical cancer seriously jeopardizes th...

A lightweight deep learning method to identify different types of cervical cancer.

Cervical cancer is the second most common cancer in women's bodies after breast cancer. Cervical can...

The use of machine learning to understand the role of visual attention in multi-attribute choice.

Whether eye movements (as a measure of visual attention) contribute to the understanding of how mult...

High-throughput point-of-care serum iron testing utilizing machine learning-assisted deep eutectic solvent fluorescence detection platform.

In this study, a high-throughput point-of-care testing (HT-POCT) system for detecting serum iron was...

Ethical and pedagogical implications of AI in language education: An empirical study at Ha'il University.

This study aims to evaluate the role of AI as an educational tool from an ethical and pedagogical pe...

Testing process for artificial intelligence applications in radiology practice.

Artificial intelligence (AI) applications are becoming increasingly common in radiology. However, en...

Interpretation knowledge extraction for genetic testing via question-answer model.

BACKGROUND: Sequencing-based genetic testing is widely used in biomedical research, including pathog...

AI-empowered visualization of nucleic acid testing.

AIMS: The visualization of nucleic acid testing (NAT) results plays a critical role in diagnosing an...

Evaluation of a novel robotic testing method for stability and kinematics of total knee arthroplasty.

PURPOSE: This work developed a novel preclinical test of total knee replacements (TKRs) in order to ...

Improving tabular data extraction in scanned laboratory reports using deep learning models.

OBJECTIVE: Medical laboratory testing is essential in healthcare, providing crucial data for diagnos...

Building and testing of a robotic intervention framework to enhancing the social engagement of children with autism spectrum disorder.

PURPOSE: Humanoid robot intervention programmes for children with autism spectrum disorder (ASD) are...

Peripheral Blood Mononuclear Cell Biomarkers for Major Depressive Disorder: A Transcriptomic Approach.

Major depressive disorder (MDD) is a complex condition characterized by persistent depressed mood, ...

Diagnostic performance of an automated robot for MALDI target preparation in microbial identification.

The MBT Pathfinder is an automated colony-picking robot designed for efficient sample preparation in...

An adaptive testing item selection strategy via a deep reinforcement learning approach.

Computerized adaptive testing (CAT) aims to present items that statistically optimize the assessment...

Systems Biology and Machine Learning Identify Genetic Overlaps Between Lung Cancer and Gastroesophageal Reflux Disease.

One Health and planetary health place emphasis on the common molecular mechanisms that connect sever...

A Machine Learning Method for RNA-Small Molecule Binding Preference Prediction.

The interaction between RNA and small molecules is crucial in various biological functions. Identify...

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