The increasing breadth and depth of resolution in biological and clinical data, including‐
omics and real‐world data, requires advanced analytical techniques like artificial …

Over the past two decades, Next-Generation Sequencing (NGS) has revolutionized the
approach to cancer research. Applications of NGS include the identification of tumor specific …

Artificial Intelligence (AI) has revolutionized drug development, personalized prescriptions,
and adverse event prediction in the field of healthcare. Through advanced algorithms and …

The last two decades have witnessed profound changes in how advanced computational
tools can help leverage tons of data to improve our knowledge, and ultimately reduce cost …

This paper introduces GPT-Neo-CRV, a novel adaptation of the GPT-Neo 1.5 B model,
incorporating a Cross-Referential Validation (CRV) module to significantly enhance the …

Pharmacology educators play a unique role in higher education, at the intersection of basic
biological, and clinical sciences. They teach a on wide range of courses including …

Objective Limited sampling strategies are widely employed in clinical practice to minimize
the number of blood samples required for the accurate area under the curve calculations, as …

The complications and difficulties relating to the application of AI in pharmacy events are
systematically scrutinized in this chapter. AI technologies have momentous potential to aid in …

The utilization of large language models (LLMs) has become a significant advancement in
the domains of medicine and clinical informatics, providing a revolutionary potential for …

The integration of artificial intelligence (AI) into the drug research and optimisation process
is a significant breakthrough, known as the AI Pharmacist. This innovative method …