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

Recently, attention mechanism and derived models have gained significant traction in drug
development due to their outstanding performance and interpretability in handling complex …

In the dynamic field of drug discovery, deep attention neural networks are revolutionizing our
approach to complex data. This review explores the attention mechanism and its extended …

Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …

While the utopian vision of the current Information Age was that computerization would
flatten economic hierarchies by democratizing information, the opposite has occurred …

Nano-based drug delivery systems (DDSs) have demonstrated the ability to address
challenges posed by therapeutic agents, enhancing drug efficiency and reducing side …

In the dynamic landscape of drug discovery, Computer-Aided Drug Design (CADD) emerges
as a transformative force, bridging the realms of biology and technology. This paper …

Artificial intelligence (AI) is a field of computer science that involves acquiring information,
develo** rule bases, and mimicking human behaviour. The fundamental concept behind …

Deep learning is accelerating drug discovery. However, current approaches are often
affected by limitations in the available data, in terms of either size or molecular diversity …

Simple Summary Cancer remains one of the leading causes of death worldwide, which
emphasizes the need for its early and accurate diagnosis and prognosis. Our review …