Scientific Search: 5 Key Concepts You Need to Know
How can researchers cope with the deluge of data at their disposal and search more efficiently? Here’s a look at several key scientific search concepts.
Join CCC at #BioIT18 – Bio-IT World Conference & Expo in Boston
Join CCC for a special presentation at Bio-IT World in Boston on May 16 – we’ll be discussing ontology learning and personalization.
2 Real World Examples: Using Real World Data for Commercial Pharmaceutical Product Insights
Here is a look at two pharmaceutical use cases where text mining has transformed real world data into real world evidence.
Drug Repurposing, Rare Diseases and Semantic Analytics
Drug repurposing could help find cures for rare diseases faster, but trawling through research is a time-consuming and resource-heavy task.
What are Ontologies – And How Are They Built? An Interview with SciBite’s Founder Lee Harland
What are ontologies, and how are they created? To answer this question, we spoke with our partners at SciBite in CCC’s Beyond the Book podcast series.
What R&D and Life Sciences Organizations Need to Know About IDMP
Beset by delays and revisions, IDMP—the set of new international standards for identifying and describing “medicinal products” is nonetheless being rolled out, month by month. Here’s what you need to know, with insights from Paul Milligan, Senior Product Manager at Linguamatics.
Semantic Search vs. Keyword Search
Ever tried searching for medical papers using a standard search engine? Happy with results you get? Probably not. There are serious limitations to using keyword search in the pharmaceutical industry. Phil Verdemato from SciBite explains how they can be overcome with the power of semantic search.
Taking Semantic Search to Full Text [Upcoming Webinar]
How will you take your R&D program to the next level in 2018? One way to accelerate your research initiatives… Read more
5 Ways to Apply Semantic Search Across Your Organization
Semantic search can have an immediate impact across your organization. Here are five common use cases.
Understanding Text Mining: 4 Need-to-Know Terms and Their Definitions
Text mining offers many benefits, but the technology is complex. Discover the four terms your team needs to know to gain maximum insights.