The significant growth of artificial intelligence (AI) methods in machine learning (ML) and
deep learning (DL) has opened opportunities for fluid dynamics and its applications in …

Wearable devices are gaining popularity in the fields of health monitoring, diagnosis, and
drug delivery. Recent advances in wearable technology have enabled real-time analysis of …

Microfluidic devices are increasingly widespread in the literature, being applied to numerous
exciting applications, from chemical research to Point-of-Care devices, passing through drug …

The great majority of published microfluidic wearable platforms for sweat sensing focus on
the development of the technology to fabricate the device, the integration of sensing …

This paper investigates the performance of deep convolutional spiking neural networks
(DCSNNs) trained using spike-based backpropagation techniques. Specifically, the study …

Artificial Intelligence (AI) has revolutionized drug development, personalized prescriptions,
and adverse event prediction in the field of healthcare. Through advanced algorithms and …

In recent years, the field of drug delivery has seen a significant shift towards the exploration
and utilization of nanoparticles (NPs) as versatile carriers for therapeutic agents. With its …

Microfluidic technology has largely benefited both fundamental biological research and
translational clinical diagnosis with its advantages in high-throughput, single-cell resolution …

Artificial intelligence (AI) has emerged as a powerful tool to revolutionize the healthcare
sector, including drug delivery and development. This review explores the current and future …

The inability of traditional pre-clinical cell culture and animal models to accurately replicate
human diseases and drug toxicities leads to a significant halt in the advancement of effective …