At present, there is a pressing need for data scientists and academic researchers to devise
advanced machine learning and artificial intelligence-driven systems that can effectively …

Genome-wide association studies (GWAS) serve as a crucial tool for identifying genetic
factors associated with specific traits. However, ethical constraints prevent the direct …

Distributed cyber-infrastructures and Artificial Intelligence (AI) are transformative
technologies that will play a pivotal role in the future of society and the scientific community …

DNA methylation data play a crucial role in estimating chronological age in mammals,
offering real-time insights into an individual's aging process. The epigenetic pacemaker …

The emergence of cloud computing enables various healthcare institutions to outsource pre-
diagnostic models and provide timely and convenient services for patients. However …

The convergence of Edge Computing (EC) and Machine Learning (ML), known as Edge
Machine Learning (EML), has become a highly regarded research area by utilizing …

In the context of rapid advancements in artificial intelligence (AI) technology, new
technologies, such as federated learning and edge computing, have been widely applied in …

With the rapid development of the Internet of Things (IoT), more and more user devices
access the network and generate large amounts of genome data. These genome data …

Federated learning is an important distributed model training technique in Internet of Things
(IoT), in which participant selection is a key component that plays a role in improving training …

DNA methylation data plays a crucial role in estimating chronological age in mammals,
offering real-time insights into an individual's aging process. The Epigenetic Pacemaker …