Latest AI and machine learning research in stds for healthcare professionals.
is an opportunistic pathogen that can infect humans, animals and aquatic species, which is widely d...
A novel automatic framework is proposed for global sexually transmissible infections (STIs) and HIV ...
BACKGROUND: Definitive chemoradiation is the primary treatment for locally advanced head and neck ca...
BACKGROUND: A significant proportion of individuals with symptoms of sexually transmitted infection ...
Human Activity Recognition (HAR) systems are designed to continuously monitor human behaviour, mainl...
Blood pressure is a crucial indicator of cardiovascular disease, and arterial blood pressure (ABP) w...
HIV remains a critical global health issue, with an estimated 39.9 million people living with the vi...
The second most common malignant tumour in women worldwide, cervical cancer seriously jeopardizes th...
Cervical cancer is the second most common cancer in women's bodies after breast cancer. Cervical can...
Whether eye movements (as a measure of visual attention) contribute to the understanding of how mult...
This study aims to evaluate the role of AI as an educational tool from an ethical and pedagogical pe...
Artificial intelligence (AI) applications are becoming increasingly common in radiology. However, en...
OBJECTIVE: Medical laboratory testing is essential in healthcare, providing crucial data for diagnos...
Major depressive disorder (MDD) is a complex condition characterized by persistent depressed mood, ...
The MBT Pathfinder is an automated colony-picking robot designed for efficient sample preparation in...
One Health and planetary health place emphasis on the common molecular mechanisms that connect sever...
The interaction between RNA and small molecules is crucial in various biological functions. Identify...
PURPOSE: We assessed human papillomavirus (HPV) genotype-based risk stratification and the efficacy ...
Combining different drugs synergistically is an essential aspect of developing effective treatments....
The identification of miRNA-disease associations is crucial for early disease prevention and treatme...
We investigate an efficient computational tool to suggest useful treatment regimens for people infec...