In predictive modeling, future events are predicted based on statistical analysis. Read this guide to understand how predictive modeling works and how it can benefit your business. The rapid adoption ...

Large language models can act as predictive models. Here's an example for misinformation detection—and an introduction to savings curves. Not all business problems are best addressed with generative ...

CEO of InfluxData, a leading time series platform, board member for One Heart Worldwide and board advisor for Lucidworks and The Fabric. In the current global business landscape, data-driven ...

Drug discovery involves decisions. We decide the likelihood that the development of a particular therapeutic candidate — for example, a putative drug target or chemical compound — will lead to a ...

Inaccurate or overlooked alerts on manufacturing data can be reduced with proper data handling when developing and deploying predictive models. Data analytics, and specifically predictive analytics, ...

As predictive models proliferate, providers and decision makers require accessible information to guide their use. Preventing and combating bias must also be priorities in model development and in ...

Precision oncology involves the use of predictive biomarkers to personalize treatment. However, for most cancer therapeutics or combination regimens, effective biomarkers have been elusive. This ...

CRISPR-Cas9 technology is used to knock out or modify DNA in research mice to study disease phenotypes and develop new treatments. CRISPR mice and rats are offered by Charles River, which uses genetic ...

Andrew Ferguson, American University Washington College of Law and planning committee member, provided the opening presentation for a session focused on theoretical underpinnings, examples of use, and ...

Patients are less comfortable with predictive models used for health care administration compared with those used in clinical practice, signaling misalignment between patient comfort, policy, and ...

Sarah Brayne, the University of Texas at Austin 1 and planning committee member, began this session with an overview of person-based predictive policing approaches. Person-based predictive policing ...