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SciBite / Knowledge Hub / Resources / Datasets for post-market surveillance [Use Case]

Datasets for post-market surveillance [Use Case]

Elsevier understands the challenges of post-market surveillance. Our comprehensive, high-quality and machine-readable datasets provide clear data provenance and support evidence-based decisions. Discover comprehensive, trusted, machine-readable data to:
  • Screen for adverse drug events with high-precision data points
  • Build and train algorithms to sort literature into relevant and non-relevant sets based on drug safety signals
  • Guide medical device post-market surveillance
  • Explore, analyse, query and manage underutilized source of safety information

Comprehensive datasets for post-market surveillance enable high-precision adverse event screening, drug safety signal detection, and device monitoring. Key features include:
  • High-precision adverse drug event screening
  • Algorithm development for sorting literature based on drug safety signals
  • Comprehensive medical device post-market surveillance
  • Exploration, analysis, querying, and management of underutilized safety information sources

Featuring high-impact research from prestigious journals such as Cell Press and Lancet, the dataset includes biological relationships, small molecule interactions, and clinical trial data. These datasets enable informed decision-making in predictive chemistry, driving efficiency and innovation in drug discovery processes. Learn more at elsevier.com/solutions/datasets.
Discover comprehensive, trusted, machine-readable Datasets for drug discovery 
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