Artificial intelligence (AI) will impact many aspects of clinical pharmacology, including drug
discovery and development, clinical trials, personalized medicine, pharmacogenomics …

Artificial intelligence (AI) techniques have the potential to revolutionize drug release
modeling, optimize therapy for personalized medicine, and minimize side effects. By …

Highlights•Drug discovery data and data from other sources are different in quantity and
characteristics.•This article underlines the difference of data from different domains.•In order …

Artificial intelligence (AI) is becoming an integral part of drug discovery. It has the potential to
deliver across the drug discovery and development value chain, starting from target …

Increased scrutiny of artificial intelligence (AI) applications in healthcare highlights the need
for real-world evaluations for effectiveness and unintended consequences. The complexity …

The convergence of artificial intelligence (AI) and precision medicine promises to
revolutionize health care. Precision medicine methods identify phenotypes of patients with …

Technological innovations, such as artificial intelligence (AI) and machine learning (ML),
have the potential to expedite the goal of precision medicine, especially when combined …

In recent years, the use of artificial intelligence (AI) in health care has risen steadily,
including a wide range of applications in the field of pharmacology. AI is now used …

Artificial intelligence in drug design in experiencing a wave of excitement not seen since the
emergence of computational chemistry in the late 1980s and early 1990s. Apparently failing …