Microfluidics has developed into a mature field with applications across science and
engineering, having particular commercial success in molecular diagnostics, next …

Nanoparticles play irreplaceable roles in optoelectronic sensing, medical therapy, material
science, and chemistry due to their unique properties. There are many synthetic pathways …

In recent years, the biochemical and biological research areas have shown great interest in
a smart wearable sensor because of its increasing prevalence and high potential to monitor …

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 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 …

The synthesis of nanoparticles is affected by many reaction conditions, and their properties
are usually determined by factors such as their size, shape and surface chemistry. In order …

Microfluidics attracts much attention due to its multiple advantages such as high throughput,
rapid analysis, low sample volume, and high sensitivity. Microfluidics has profoundly …

Machine‐learning‐enhanced nanosensors are rapidly emerging as a promising solution in
the field of sensor technology, as traditional sensors encounter limitations of data analysis in …

Droplet microfluidics has emerged as a powerful technology to perform high-throughput
experiments, while artificial intelligence (AI) serves as a functional tool to analyze a large set …

In terms of the number and diversity of living units, the prokaryotic empire is the most
represented form of life on Earth, and yet it is still to a significant degree shrouded in …