AI Usage Growing Among Life Sciences Professionals – But Challenges Remain
From entertainment to healthcare, ecommerce to finance – it’s undeniable that the way we do business changes when artificial intelligence… Read more
How to Create a Robust Training Program for Your Information Center’s End Users
Here’s how to expose new tools and resources to potential users across the company through an information center training program.
FDA’s Office of New Drugs Wants in on the Big Data Revolution
The FDA’s Office of New Drugs is being “bombarded” by data and decision-making is suffering as a result. They aren’t alone in this challenge.
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.
4 Keys to Modern Knowledge Engineering
After decades of research, knowledge engineering is resurfacing as an artificial intelligence-driven solution to collect, understand, and infer relationships from… Read more
Pharma Turns to Real World Evidence to Overcome the Odds
Real world evidence is used for post approval regulation and labeling purposes. But RWE has many more untapped uses that firms now appear keen to explore.
Machine Learning: Understanding the Difference Between Unstructured/Structured Data
For us non-scientists, machine learning can be a confusing concept. The first step is to identify the difference between unstructured and structured data.
How Enterprise Data Science Has the Potential to Impact Life Sciences
How can life sciences organizations transform large volumes of complex data into hypothesis-generating knowledge representation? Enterprise data science.