preclinical development

Gaining insight with artificial intelligence

In part three of this blog series about best practices in toxicology, we continue the discussion from previous articles that outlined elements in the discovery stage that could impact safety, and considering a drug’s effects on toxicity of specific organs and specific patients via toxicogenomics, pharmacogenomics and pharmacoepigenomics. To help reach a deeper understanding of […]

Organ-specific toxicity and personalized approaches

In part two of this blog series about best practices in toxicology, we continue the discussion from the previous post, which described the aspects of drug discovery that could impact safety. Because safety can vary by person and organ, we also need to identify how we can determine a drug’s potential toxic effects on specific […]

Identifying risks in drug discovery

It is estimated that for every eight active substances entering Phase I clinical trials, only one product is approved and marketed.[1] The low success rate for clinical trials is largely driven by poor efficacy in humans and adverse events leading to the discontinuation of a drug development program.[2] Findings related to the inherent properties of the […]