Artificial intelligence (AI) has permeated various sectors, including the pharmaceutical
industry and research, where it has been utilized to efficiently identify new chemical entities …

The elucidation of a compound's Mechanism of Action (MoA) is a challenging task in the
drug discovery process, but it is important in order to rationalise phenotypic findings and to …

The ever-increasing number of chemicals has raised public concerns due to their adverse
effects on human health and the environment. To protect public health and the environment …

Drug-induced liver injury (DILI) has always been the focus of clinicians and drug
researchers. How to improve the performance of the DILI prediction model to accurately …

Various sources of information can be used to better understand and predict compound
activity and safety-related endpoints, including biological data such as gene expression and …

Background: Drug-induced liver injury (DILI) is primarily caused by drugs or their
metabolites. Acetaminophen (APAP) is an over-the-counter antipyretic analgesic that …

Drug-induced liver injury (DILI), believed to be a multifactorial toxicity, has been a leading
cause of attrition of small molecules during discovery, clinical development, and …

Drug-induced liver injury (DILI) is a significant concern in drug development, often leading to
drug withdrawal. Although many studies aim to identify biomarkers and gene/pathway …

Despite several improvements in the drug development pipeline over the past decade, drug
failures due to unexpected adverse effects have rapidly increased at all stages of clinical …

Drug-induced liver injury (DILI) is an important safety concern and a major reason to remove
a drug from the market. Advancements in recent machine learning methods have led to a …