Evolution remains an incessant process in viruses, allowing them to elude the host immune
response and induce severe diseases, impacting the diagnostic and vaccine effectiveness …

The intelligent use of artificial intelligence-generated content (AIGC) in magnetic resonance
imaging (MRI) analysis is a significant step towards the rapidly advancing field of consumer …

Adversarial attacks can compromise the robustness of real-world detection models.
However, evaluating these models under real-world conditions poses challenges due to …

It is important to understand the geometry of genome space in biology. After transforming
genome sequences into frequency matrices of the chaos game representation (FCGR), we …

Efforts to enhance the accuracy of protein sequence classification are of utmost importance
in driving forward biological analyses and facilitating significant medical advancements. This …

Due to the ongoing coronavirus (COVID-19) pandemic, an unprecedented amount of SARS-
CoV-2 sequence data is available. The scale of this data has out-paced traditional methods …

The amount of sequencing data for SARS-CoV-2 is several orders of magnitude larger than
any virus. This will continue to grow geometrically for SARS-CoV-2, and other viruses, as …

Protein sequence classification needs to be performed quickly and accurately to progress
bioinformatics advancements and the production of pharmaceutical products. Extensive …

The SARS-CoV-2 coronavirus is the cause of the COVID-19 disease in humans. Like many
coronaviruses, it can adapt to different hosts and evolve into different lineages. It is well …

Objectives The coronavirus disease 2019 (COVID-19) pandemic continues to pose
significant challenges to the public health sector, including that of the United Arab Emirates …