Artificial Intelligence (AI) has emerged as a transformative force reshaping industries across
the globe. This paper explores the profound impact of AI on various sectors through …

Purpose: The purpose of this study is to address the limited use of transfer learning
techniques in radio frequency machine learning and to propose a customized taxonomy for …

Maintaining data integrity in clinical trials informatics is a critical challenge that directly
impacts the reliability and credibility of research outcomes. This paper explores the …

Data Science has emerged as a powerful approach in the field of Health Informatics,
leveraging advanced analytical techniques to extract valuable insights from vast and diverse …

Bioinformatics and machine learning have become indispensable tools in the field of
personalized medicine, particularly in the analysis of genomic data. With the advent of high …

This study aims to assess the impact of artificial intelligence (AI) on human resource
competencies in King Hussein Business Park (KHBP). The study population included senior …

Clinical trials play a pivotal role in advancing medical knowledge and improving patient
care, making data integrity a critical concern. Ensuring the accuracy and reliability of clinical …

Data integrity and data governance are indispensable pillars that underpin the success and
credibility of clinical trials. As the digital transformation of healthcare accelerates, ensuring …

Image denoising is a fundamental task in image processing and computer vision, aiming to
remove noise and enhance the visual quality of images. In recent years, deep learning …

AI-driven drug discovery has emerged as a transformative approach to accelerate
pharmaceutical research in bioinformatics. This paper presents an overview of the …