Ensuring product quality and integrity is paramount in the rapidly evolving landscape of
industrial manufacturing. Although effective to a certain degree, traditional quality control …

Background: The lengthy and expensive process of developing a novel medicine often takes
many years and entails a significant financial burden due to its poor success rate …

One of the challenges of modern biotechnology is to find new routes to mitigate the
resistance to conventional antibiotics. Antimicrobial peptides (AMPs) are an alternative type …

Drug Discovery is an active research area that demands great investments and generates
low returns due to its inherent complexity and great costs. To identify potential therapeutic …

Drug-induced liver injury (DILI) is a severe adverse reaction caused by drugs and may result
in acute liver failure and even death. Many efforts have centered on mitigating risks …

The innovation of big data has an intense impact on data context analytics. The big data
processing platforms have gained immense popularity in evaluating big data as they offer …

Developing new pharmaceutical compounds is a lengthy, costly, and intensive process. In
recent years, the development of Artificial Intelligence (AI), Machine Learning (ML), and …

Spiking neural networks are biologically inspired machine learning algorithms attracting
researchers' attention for their applicability to alternative energy-efficient hardware other …

The journey of drug discovery (DD) has evolved from ancient practices to modern
technology-driven approaches, with Artificial Intelligence (AI) emerging as a pivotal force in …

As a widely studied model in the machine learning and data processing society, graph
convolutional network reveals its advantage in non-grid data processing. However, existing …