This chapter comprehensively explores the pivotal role of artificial intelligence (AI) in drug
discovery and development, encapsulating its potentials, methodologies, real-world …

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 …

In recent years, drug discovery and life sciences have been revolutionized with machine
learning and artificial intelligence (AI) methods. Quantum computing is touted to be the next …

Recently, the popularity of using the expressive power of quantum computing to solve
known, challenging problems has increased remarkably. This study aims to develop a clear …

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 …

Nature is a neverending source of inspiration for technology. Quantum physics suggests
applications toward quantum computing. Swarms' self-organization leads to robotic swarm …

Abstract Transition metals Namely Rhodium (Rh), Iridium (Ir), and Cobalt (Co) doped silicon
carbide nanotube (SiCNT) surfaces were theoretically investigated using first-principles …

Molecular biology and biochemistry interpret microscopic processes in the living world in
terms of molecular structures and their interactions, which are quantum mechanical by their …

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 …

The investigation of intermolecular interactions has become increasingly important in many
studies, mainly by combining different analytical approaches to reveal the molecular …