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 …

The past decade has witnessed significant advancements in quantum hardware,
encompassing improvements in speed, qubit quantity, and quantum volume—a metric …

Sentiment and sarcasm detection in social media contribute to assessing social opinion
trends. Over the years, most artificial intelligence (AI) methods have relied on real values to …

Abstract The Internet of Medical Things (IoMT) has emerged as a significant research area in
the medical field, enabling the transmission of various types of data to the cloud for analysis …

As restricted quantum computers become available, research focuses on finding meaningful
applications. For example, in quantum machine learning, a special type of quantum circuit …

In the drug discovery paradigm, the evaluation of absorption, distribution, metabolism, and
excretion (ADME) and toxicity properties of new chemical entities is one of the most critical …

The drug discovery process is a rigorous and time-consuming endeavor, typically requiring
several years of extensive research and development. Although classical machine learning …

Drug discovery and development is a time-consuming and cost-intensive process. Computer-
aided drug design can speed up the timeline and reduce costs by decreasing the number of …

Chemometrics and machine learning are artificial intelligence-based methods stirring a
transformative change in chemistry. Organic synthesis, drug discovery and analytical …

Alzheimer's disease (AD) is a severe, growing, multifactorial disorder affecting millions of
people worldwide characterized by cognitive decline and neurodegeneration. The …