The all-new integrative and wearable technology and AI universal steady cardiac health
checkup will redefine the entire concept of cardiovascular treatment where checkup …

Management of patients with chronic diseases in rural areas and the use of medications
need to be urgently addressed. Therefore, this study aimed to evaluate the efficacy of a …

Cancer, a complex and heterogeneous disease, presents a significant challenge in
healthcare. Traditional treatment approaches often rely on a" one-size-fits-all" methodology …

The process of drug discovery and development is time-consuming, expensive, and often
fails to yield new therapeutic options. Drug repurposing, the identification of new therapeutic …

Explainable Artificial Intelligence (XAI) has emerged as a critical area of research to
enhance the transparency and interpretability of complex machine learning models …

Drug repositioning, also known as drug repurposing, is a strategy that aims to identify new
therapeutic uses for existing drugs. This approach offers significant advantages over …

This research paper explores the application of machine learning (ML) algorithms for
detecting adverse events related to drugs using real-world data. Adverse drug events …

This research paper explores the design and development of IoT-enabled smart wearable
devices for continuous cardiovascular monitoring. With the increasing prevalence of …

Federated Learning (FL) has emerged as a promising approach for collaborative machine
learning across decentralized entities, enabling privacy-preserving data sharing. In the …

The advent of IoT technologies has revolutionized healthcare, particularly in the realm of
personalized medicine. This paper explores the design and implementation of IoT-enabled …