Drug designing and development is an important area of research for pharmaceutical
companies and chemical scientists. However, low efficacy, off-target delivery, time …

Drug development is time‐consuming and expensive. Repurposing existing drugs for new
therapies is an attractive solution that accelerates drug development at reduced …

Artificial intelligence (AI) is revolutionizing the current process of drug design and
development, addressing the challenges encountered in its various stages. By utilizing AI …

Mobile artificial intelligence-generated content (AIGC) refers to the adoption of generative
artificial intelligence (GAI) algorithms deployed at mobile edge networks to automate the …

As genomic research becomes more complex and data-rich, artificial intelligence (AI) has
emerged as a crucial tool for processing and analyzing high-dimensional genomic data …

The Internet of Things (IoT) can significantly enhance the quality of human life, specifically in
healthcare, attracting extensive attentions to IoT healthcare services. Meanwhile, the human …

Neural networks such as variational autoencoders (VAE) perform dimensionality reduction
for the visualization and analysis of genomic data, but are limited in their interpretability: it is …

Detecting potential associations between drugs and diseases plays an indispensable role in
drug development, which has also become a research hotspot in recent years. Compared …

Identification of new indications for existing drugs is crucial through the various stages of
drug discovery. Computational methods are valuable in establishing meaningful …

As a necessary process of modern drug development, finding a drug compound that can
selectively bind to a specific protein is highly challenging and costly. Exploring drug‐target …