AstraZeneca worked with Elsevier to increase discovery of new epigenetic targets
Elsevier Datasets: Advance AI initiatives with trusted data, your way
Support your R&D teams with datasets built from Elsevier's foundation of trusted content. From full-text to specific datasets curated for your use case, Elsevier delivers the highest level of integrity and accuracy to help you innovate with confidence.
Working with Elsevier has been a pleasure ... They’ve provided data that we incorporate into our proprietary biomedical knowledge graph, and they also offer valuable expertise in data science and drug repurposing.David Fajgenbaum
Cofounder/President at EveryCure
Let's shape progress together
Why is full-text literature data critical for R&D?
Datasets from full-text scientific literature give R&D teams comprehensive, direct access to the most impactful research for your industry.
Full-text datasets provide your models a more complete picture than abstracts and open-source data
Full-text data supports richer and more comprehensive knowledge graphs with more entities and relationships
Elsevier datasets can help build your AI on a comprehensive, sturdy foundation through systematic incorporation of data
At Elsevier, high levels of information integrity ensure quality data, which increases confidence in outputs and supports regulatory compliance
Explore the current list of titles included in the Journals Data subject collections.
How can biomedical data support smarter pharmacovigilance?
Medical literature and conference abstract data from Embase can help advance your pharmacovigilance, systematic reviews and ICSRs.
Biomedical data can support the automation of safety signal detection with machine learning.
Data can be used to enhance key opinion leader (KOL) databases and identify collaboration partners.
Organizations can use data to develop systematic automation and ensure medical device compliance.
Access to Embase data can surface critical regulatory and medical affairs insights that would otherwise be missed.
Read the case study: Using knowledge graphs to drive epigenetic target discovery with AstraZeneca
How can comprehensive data make a difference in chemistry R&D?
Elsevier provides datasets from scientific literature and patent information, enabling R&D teams to use the largest and most reliable collection of chemical reactions, structures, physiochemical and bioactivity data to innovate and develop with confidence.
Organizations parter with Elsevier to embed chemistry data into internal LLMs
R&D teams use trusted chemistry data to build, train, validate and optimize models for predictive retrosynthesis, synthetic feasibility, reaction conditions, reaction optimization and more
Elsevier data can be used to fuel internal search tools with customized reporting and alerting
Elsevier data can support confident chemical structure analytics
What other ways can trusted, comprehensive datasets support a competitive edge in R&D?
Elsevier’s abstract and citation data can support horizon scanning, KOL identification and rising star analysis.
Biological relationship data can improve biomarker identification and predict effective drug targets
Pharmaceutical data from regulatory documents supports predictive modeling for clinical outcomes
A trusted partner to help innovators succeed
Advance your R&D with Elsevier Datasets and a portfolio of solutions and services to support your AI-driven innovation. Navigate your R&D journey with confidence, supported by:
Trusted content from peer-reviewed scientific literature to regulatory data
Innovative technology that prepares data for machine consumption
Expertise in data science, semantic technologies and application of data for tangible outcomes
Information integrity is essential to your progress. Discover trusted data and tools that transform complexity into scientific insight. Let's shape progress together.
Critical insights for better outcomes. Learn more about datasets.
