CII Definitive Series


The Definitive Guide to Connected Innovation Intelligence for Drug Discovery and Development

Ninety-six percent of drugs today never make it to market due to excessive costs, steep regulatory burdens, and incomplete or inaccurate data. But the tide is changing. Research that previously took years to complete can now be done in a matter of weeks or even days with Connected Innovation Intelligence (CII).


This report provides an in-depth analysis of the four major challenges facing drug discovery and development professionals, and how CII is enabling organizations to overcome these hurdles and accelerate pharmaceutical innovation.

Read the eBook to explore:

  • What CII is and how it works for Life Sciences professionals
  • The 4 universal drug discovery and development challenges 
  • How CII aids in drug innovation

Unlock key business, IP, and R&D insights and make more informed innovation decisions

With PatSnap’s Connected Innovation Intelligence Life Science solutions, finding treatment options for rare diseases, or creating the next blockbuster drug isn’t some far-off wish — it’s a reality. CII provides users with access to millions of regularly updated data points sourced using best-in-class AI algorithms and expert manual curation. As a result, biotechnology companies can save time and resources while working to solve unmet patient needs.

Identify early-stage opportunities: By leveraging different sources including regulatory, patent, clinical trial, chemical, and biological data points, biotechnology companies can validate ideas early on, identify innovation hotspots, and improve pipeline. 

Explore drug discovery and development trends: Using AI-powered technology, biotechnology companies can stay ahead of competitors, predict and analyze emerging trends, discover new market entrants, and more. 

Accelerate R&D: With access to 550+ million patent sequences, 1.25 million manually curated chemically modified sequences, and 500+ million non-patent sequences, researchers can quickly analyze relevant data and extract meaningful insights.

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