Artificial Intelligence (AI) has emerged as a transformative technology with immense
potential in the field of medicine. By leveraging machine learning and deep learning, AI can …

Methods that utilize machine learning and artificial intelligence have transformed a wide
variety of fields, including the field of toxicology. Physiologically based pharmacokinetic …

Allosteric regulation is a common mechanism employed by complex biomolecular systems
for regulation of activity and adaptability in the cellular environment, serving as an effective …

Study objective Topic identification can facilitate knowledge curation, discover thematic
relationships, trends, and predict future direction. We aimed to determine through an …

Artificial Intelligence (AI) has the potential to revolutionize several aspects of human life, and
medicine is one of them. For cell and gene‐based therapies, the application of AI is still in its …

Background Biguanides and sulfonylurea are two classes of anti-diabetic medications that
have commonly been prescribed all around the world. Diagnosis of biguanide and …

Introduction Acute poisoning is a significant global health burden, and the causative agent is
often unclear. The primary aim of this pilot study was to develop a deep learning algorithm …

Discussion Major developments in DL have been enabled by the explosion of data
availability and computing power, enabling automated pathology image segmentation …

Clinical effects of antihyperglycemic agents poisoning may overlap each other. So,
distinguishing exposure to these pharmaceutical drugs may take work. This study examined …

Abstract Background Artificial intelligences (AIs) are emerging in the field of medical
informatics in many areas. They are mostly used for diagnosis support in medical imaging …