Elsevier launches new PharmaPendium, empowering pharma companies to bring novel drugs to market faster and increase success of regulatory submissions

Elsevier, a global leader in information and data analytics, has launched the new PharmaPendium, sharpening the translational view of a platform that combines extensive preclinical and clinical data, including complete Food and Drug Administration (FDA) and European Medicines Agency (EMA) approval packages, with predictive tools to accelerate drug development. PharmaPendium enables companies to make faster, more informed decisions about what drug candidates to advance. Pharma professionals and researchers can use the tool to benchmark against competitors, prioritize safety and efficacy, and develop effective strategies for regulatory submissions. The depth and reliability of the platform’s data means PharmaPendium is already trusted by the FDA, Pharmaceuticals and Medical Devices Agency (PMDA) and the top 20 global pharma companies.

“Translation of preclinical research findings to humans in an efficient but safe way is one of the greatest challenges facing drug developers. We designed the new PharmaPendium to solve this. The platform leverages Elsevier’s expertise in curating scientific data and presents it in an intuitive and meaningful way for pharma professionals,” adds Olivier Barberan, Director of Translational Medicine Solutions at Elsevier. “This improved access to highly relevant data plus predictive tools enhances regulatory success, safeguarding the massive investments of pharma companies.”

PharmaPendium’s advanced predictive tools include the Drug-Drug Interaction Risk Calculator (DDIRC) and Safety Margin Tool. These solutions empower researchers to accurately predict harmful drug-drug interactions and off-target related clinical adverse events, and to optimize nonclinical studies and reduce animal testing. They were co-designed to meet industry needs and align with regulatory guidance. Elsevier collaborated with Novartis on the Safety Margin Tool, and with Boehringer Ingelheim, Eli Lilly and Company, Pierre Fabre, Sanofi, Servier and others on the DDIRC.

Today, 93% of drugs entering clinical trials fail to secure regulatory approval. Better understanding of first-in-human dose selection, optimal study endpoints and mitigating adverse events improves regulatory success. Yet translation from preclinical studies to post-market data analysis is time-consuming and expensive. The new PharmaPendium helps overcome these challenges with:

• Enhanced visualization tools to more easily gain insights from vast quantities of data

• Intelligent autocomplete to increase discoverability and identify important concepts

• Improved search results interface to quickly access key data, such as drug metabolism and pharmacokinetics (DMPK), efficacy and chemistry, extracted from leading data sources, including:

  • Complete FDA and EMA approval packages and FDA advisory committee documents

  • 19 million reports from the FDA Adverse Event Reporting System (FAERS)

  • DESI (Drug Efficacy Study Implementation) documents, Meyler's 16th Edition, Mosby's Drug Consult™️ and scientific articles

PharmaPendium’s high-quality datasets are machine readable and available for off-platform use, allowing companies to embed data into their workflows and employ predictive and scenario modelling. Customers can also access support from Elsevier’s team of domain and data science experts for their data projects.

Learn more about PharmaPendium

關於 Elsevier

身為科學資訊與分析的全球領導者，Elsevier 協助研究人員與醫療照護專業人員推動科學發展，改善醫療成果，造福社會。我們以可信賴、以實證為基礎的內容和先進的 AI 數位技術為基礎，透過創新的解決方案促進洞察力和關鍵決策。

140 多年來，我們一直為研究和醫療保健界的工作提供支援。我們全球 9,500 名員工，包括 2,300 名技術人員，致力於支援研究人員、圖書館館長、學術領袖、資金提供者、政府、研發密集型公司、醫生、護士、未來醫療保健專業人員和教育工作者的重要工作。我們的 2,900 種科學期刊和經典參考工具書包括其領域中最重要的書籍，包括 Cell Press、The Lancet 和 Gray's Anatomy。 我們與愛思唯爾基金會 (Elsevier Foundationopens in new tab/window) 合作，與我們服務的社群攜手合作，在發展中國家和世界各地的科學、研究和醫療保健領域推動包容性和多樣性。 Elsevier 是 RELXopens in new tab/window 的一部分，RELXopens in new tab/window 是一家為專業和商業客戶提供以資訊為基礎的分析和決策工具的全球供應商。有關我們的工作、數位解決方案和內容的更多資訊，請造訪 www.elsevier.com 。