The advancements in genomics and biomedical technologies have generated vast amounts
of biological and physiological data, which present opportunities for understanding human …

In the recent century, two concepts “Deep Learning”(DL) and “Blockchain technology” have
received much attention from around the globe. Today's DL [a superset of artificial neural …

Deep learning is a subfield of machine learning that considers computational models with
multiple processing layers [1, 3, 6]. At the core of all deep learning approaches lies …

With the progress of medical technology, biomedical field ushered in the era of big data,
based on which and driven by artificial intelligence technology, computational medicine has …

With the evolution of biotechnology and the introduction of the high throughput sequencing,
researchers have the ability to produce and analyze vast amounts of genomics data. Since …

Medical organizations are progressively navigating a highly unstable, complex environment
in which scientific improvements and new medical delivery business models are only …

In artificial intelligence, deep learning (DL) is a process that replicates the working
mechanism of the human brain in data processing, and it also creates patterns for decision …

The increasing advancements and improvements in medicine and healthcare in the past few
decades have ushered us into a data-driven era where a huge amount of data is collected …

Advances in biological and medical technologies have been providing us explosive
volumes of biological and physiological data, such as medical images …

Gaining knowledge and actionable insights from complex, high-dimensional and
heterogeneous biomedical data remains a key challenge in transforming health care …