Deep Learning (DL) is a subfield of machine learning that significantly impacts extracting
new knowledge. By using DL, the extraction of advanced data representations and …

The Internet of Medical Things (IoMT), an application of the Internet of Things (IoT) in the
medical domain, allows data to be transmitted across communication networks. In particular …

There is a need for some techniques to solve various problems in today's computing world.
Metaheuristic algorithms are one of the techniques which are capable of providing practical …

In recent years, the interdisciplinary field of quantum computing has rapidly developed and
garnered substantial interest from both academia and industry due to its ability to process …

Medicine, including fields in healthcare and life sciences, has seen a flurry of quantum-
related activities and experiments in the last few years (although biology and quantum …

Machine learning is playing a very significant role to process voluminous data and its
classification in a variety of domains. Due to better performance and rapid development in …

Simple Summary This work successfully employs a novel approach in processing patient
and drug data to predict the drug response for cancer patients. The approach uses a deep …

Background. In today's industrialized world, coronary artery disease (CAD) is one of the
leading causes of death, and early detection and timely intervention can prevent many of its …

In general, cardiac arrest results in an inability to pump enough blood for the body's needs.
Through this, the organs and tissues get enough oxygen and nutrients for their metabolic …

A medical analysis of diagnosing rare genetic diseases has rapidly become the most
expensive and time-consuming component for doctors. By combining predictive methods …