Recently, advances in wearable technologies, data science and machine learning have
begun to transform evidence-based medicine, offering a tantalizing glimpse into a future of …

This chapter comprehensively explores the pivotal role of artificial intelligence (AI) in drug
discovery and development, encapsulating its potentials, methodologies, real-world …

Artificial intelligence (AI) applications have transformed healthcare. This study is based on a
general literature review uncovering the role of AI in healthcare and focuses on the following …

Abstract Machine learning is frequently being leveraged to tackle problems in the health
sector including utilization for clinical decision-support. Its use has historically been focused …

Abstract Background Clinical Trials (CTs) remain the foundation of safe and effective drug
development. Given the evolving data-driven and personalized medicine approach in …

ABSTRACT Introduction The concept of Digital Twins (DTs) translated to drug development
and clinical trials describes virtual representations of systems of various complexities …

Background The existing dementia risk models are limited to known risk factors and
traditional statistical methods. We aimed to employ machine learning (ML) to develop a …

Pulmonary arterial hypertension (PAH) is a severe but treatable form of pre-capillary
pulmonary hypertension caused by pulmonary vascular remodelling. As a result of basic …

Artificial intelligence (AI) and machine learning (ML) represent significant advancements in
computing, building on technologies that humanity has developed over millions of years …

The eyes possess sophisticated physiological structures, diverse disease targets, limited
drug delivery space, distinctive barriers, and complicated biomechanical processes …