Use Cases

Discover how SciBite’s powerful solutions are supporting scientists and researchers.

Use Cases Overview

Bioassay Registration Departmental Search Drug Safety Electronic Laboratory Notebooks
Enterprise Fair Data LLMs & GenAI Knowledge Graphs Target Validation + Drug Repositioning
Gartner report

Gartner® The Pillars of a Successful Artificial Intelligence Strategy

Access report

Read report

Knowledge Hub

Explore expert insights, articles, and thought leadership on scientific data challenges.

Knowledge Hub

Resources

Discover our whitepapers, spec sheets, and webinars for in-depth product knowledge.

Resources

Events

Join us at upcoming events and webinars to learn more about SciBite solutions.

Events

News

Stay informed with the latest SciBite updates, announcements, and industry news.

News

Read report

About SciBite

Explore SciBite’s full suite of solutions to unlock the potential of your data.

Discover more about us

Why SciBite Management Team SciBite Academy Careers
Our Partners

We build powerful partnerships with world-leading organizations.

Our Partners

Clinical Data Partners Data Management Platforms ELN Partners Enterprise Search Partners Knowledge Graph Partners

Read report

Contact Us

SciBite / Knowledge Hub / Resources / Datasets for pre-clinical and clinical R&D [Use Case]

Datasets for pre-clinical and clinical R&D [Use Case]

Elsevier understands the challenges of pre-clinical and clinical R&D. Our comprehensive, high-quality and machine-readable datasets provide clear data provenance and support evidence-based decisions. The “Datasets for Pre-Clinical and Clinical R&D” provides a rich collection of machine-readable data to support various facets of drug research and development. Through our vast history of supporting the life sciences, we can provide:
  • Build and train models for predictive toxicology applications
  • Computing animal-human model concordance
  • Build and train various QSAR models
  • Predictive modeling for clinical outcomes
  • Designing effective synthesis scale-up routes

With trusted data from 24 major disciplines, including biochemistry, genetics, chemistry, pharmacology, and toxicology, this resource supports virtual screening, drug target identification, biomarker prioritization, and treatment landscape assessment.
  • Structured biomedical literature from 8,300 journals (including 3,300 not found in Medline)
  • 5.1 million conference abstracts from 11,500 conferences
  • Chemistry data with 23 million single-step reactions and 9 million substances with bioactivities
  • Drug safety data extracted from FDA and EMA regulatory documents
  • Complete dataset access via API

This comprehensive data access supports evidence-based decision-making and enhances the efficiency of pre-clinical and clinical R&D efforts. Learn more at elsevier.com/solutions/datasets.
Discover comprehensive, trusted, machine-readable Datasets for pre-clinical and clinical R&D
Download
Share this article
Relevant resources, events and news
https://scibite.com/knowledge-hub/resources/datasets-for-drug-discovery-use-case/ thumbnail image Resource Datasets for drug discovery [Use Case]

Discover trusted datasets for drug discovery to enhance virtual screening, target identification, biomarker prioritization, and treatment assessments.

 Datasets

Read more

https://scibite.com/knowledge-hub/resources/datasets-for-post-market-surveillance/ thumbnail image Resource Datasets for post-market surveillance [Use Case]

Comprehensive datasets for post-market surveillance enable high-precision adverse event screening, drug safety signal detection, and device monitoring.

 Datasets

Read more