Insights to Improve Drug Development from Target Identification to Post-Launch
Pharma & life sciences organizations depend on data to achieve better R&D outcomes, but finding, interpreting and integrating diverse datasets to quickly discover actionable insights is a universal challenge.
Elsevier R&D Solutions offers tools that solve these data challenges, enabling research teams to predict outcomes based on past experience — an essential task in lead identification, drug development, pharmacovigilance and more — which helps them make better informed research and business decisions.
Supporting All Stages of Drug Discovery & Development
Elsevier helps organizations understand the biological mechanisms and biomarkers of diseases or abnormal states, enabling the development of new drugs and therapies.
Elsevier provides high-quality external data and supports harmonization with internal data to improve hit identification and lead optimization processes.
Drug Candidate Selection
Elsevier enables unique access to FDA and EMA drug approval documents and data, and biomedical literature, to enable critical decisions in drug candidate selection, study design and risk mitigation.
Elsevier provides optimal literature monitoring and triage strategies to ensure that drug and medical device companies monitor all mentions of adverse events efficiently, and stay compliant on regulatory reporting.