Just as machine learning, artificial intelligence, data modeling and analytics platforms have transformed manufacturing, drug discovery, health care and operations in a host of other industries, these ...

Predictive models that combine patient-reported psychosocial measures with clinical data perform well in forecasting flares in patients with inflammatory bowel disease.

As a drug moves through research and regulatory processes, any mistakes in the data will be compounded. Small gaps that a ...

Analyzing data and model constraints The industry standard for insurance analysis, modeling and product development centers ...

Data science is everywhere, a driving force behind modern decisions. When a streaming service suggests a movie, a bank sends ...

In mission-driven organizations—whether leading a national non-profit or scaling an advocacy campaign—the most precious resource isn’t funding. It’s focus. Every moment spent chasing the wrong lead ...

Several years ago, Humana Inc. embarked on a multifaceted program to refocus its business more directly on the consumers of its health benefits plans—its corporate customers and their employees. The ...

Predictive modeling technology is capable of sifting through massive data sets and uncovering the patterns and trends that correlate the target data elements to some outcome(s) of interest. Paul ...

Biopharmaceutical manufacturing of proteins requires an efficient cell line. Starting with several thousand clones, researchers use multiple selection rounds to ultimately chose one clone for the ...

Discover how data driven fashion uses predictive fashion trends and retail analytics to transform modern design.