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

Toxicity prediction is a critical step in the drug discovery process that helps identify and
prioritize compounds with the greatest potential for safe and effective use in humans, while …

There are currently more than 1000 prescription medications available for use in the United
States and more than 100,000 over-the-counter herbal and dietary supplements (HDS) …

Advancement in the field of computational research has made it possible for the in silico
methods to offer significant benefits to both regulatory needs and requirements for risk …

Drug-induced liver injury (DILI) remains a challenge in clinical practice and is still a
diagnosis of exclusion. Although it has a low incidence amongst the general population, DILI …

Idiosyncratic (unpredictable) drug-induced liver injury is one of the most challenging liver
disorders faced by hepatologists, because of the myriad of drugs used in clinical practice …

Artificial intelligence (AI) has been transforming the practice of drug discovery in the past
decade. Various AI techniques have been used in many drug discovery applications, such …

Abstract PubChem (https://pubchem. ncbi. nlm. nih. gov) is a popular chemical information
resource that serves a wide range of use cases. In the past two years, a number of changes …

Adverse drug reactions (ADRs) and drug-induced toxicity are major challenges in drug
discovery, threatening patient safety and dramatically increasing healthcare expenditures …

Idiosyncratic drug-induced liver injury (IDILI) is a rare but potentially severe adverse drug
reaction that should be considered in patients who develop laboratory criteria for liver injury …