In late 2022, we published a series of predictions, which, among other things, projected that 2023 would be a “massive showcase” for machine learning (ML) in drug discovery and development. And in many ways, 2023 was a pivotal year for AI in pharma. This evolution in AI and ML applications in pharma built upon the…
Anticipating IND submission: Ensuring your drug is ready for preclinical toxicology studies
Drug development is often a vast and intricate journey. Each phase signifies an advancement in the process, always with an eye toward patient safety and efficacy. But before any therapeutic finds itself on the bedside tables of hopeful patients, it faces a formidable challenge: preclinical toxicology testing. As the gateway to clinical trials, this early…