Finding new drugs usually consists of five main stages: 1) a pre-discovery stage in which
basic research is performed to try to understand the mechanisms leading to diseases and …

This paper aims to explore the possibility of employing large language models (LLMs)–a
type of artificial intelligence (AI)–in clinical pharmacology, with a focus on its possible …

Biomedical technologies are the compound of engineering principles and technologies
used to diagnose, treat, monitor, and prevent illness. Advances in science and engineering …

Computational drug discovery is intrinsically interdisciplinary and has to deal with the
multifarious factors which are often dependent on the type of disease. Molecular Property …

In recent times, the pharmaceutical industry has leveraged cutting‐edge technologies to
gather insights from intricate biological systems. Advances in technology have spurred a …

In order to improve obstetric risk categorization, this study employs a thorough machine
learning approach that makes use of cardiotocogram data. The goal is to find patterns and …

The iteration of artificial intelligence (AI) technology provides new opportunities for drug
research and experimental development. In recent years, AI-based drug research has …

Artificial intelligence has emerged as a transformational force in a variety of industries,
including the pharmaceutical industry. Integrating AI technologies in pharmaceuticals has …

Abstract Medical Diagnosis (Yannick von der Heyden): This thesis section delves into the
integration of Artificial Intelligence in radiology, specifically focusing on its application in …

Artificial intelligence (AI) has emerged as a transformative force in drug discovery,
revolutionizing traditional approaches in chemical and biochemical sciences. This paper …