The success of machine learning (ML) techniques in the formerly difficult areas of data
analysis and pattern extraction has led to their widespread incorporation into various …

Edge AI, an interdisciplinary technology that enables distributed intelligence with edge
devices, is quickly becoming a critical component in early health prediction. Edge AI …

As the world produces exabytes of data, there is a growing need to find new methods that
are more suitable for dealing with complex datasets. Artificial intelligence (AI) has significant …

Machine Learning (ML) and Deep Learning (DL) are derivatives of Artificial Intelligence (AI)
that have already demonstrated their effectiveness in a variety of domains, including …

The rapid advancement of artificial intelligence (AI) technologies, particularly machine
learning, has brought substantial progress to the field of nephrology, enabling significant …

The emergence of artificial intelligence (AI) has greatly propelled progress across various
sectors including the field of nephrology academia. However, this advancement has also …

Stroke is one of the leading causes of death worldwide. Previous studies have explored
machine learning techniques for early detection of stroke patients using content-based …

The intricate web of cancer biology is governed by the active participation of long non-
coding RNAs (lncRNAs), playing crucial roles in cancer cells' proliferation, migration, and …

Data Privacy has increasingly become a matter of concern in the era of large public digital
respositories of data. This is particularly true in healthcare where data can be misused if …

Simple Summary Early lung cancer detection is vital. Next-generation sequencing (NGS)
enables cell-free DNA (cfDNA) liquid biopsy to detect genetic changes, such as copy …