Predictive models can have varying degrees of complexity, but the principle remains the same. They use known results to develop models (or train AI) to predict future values for different or new data.

Predictive analytics offers brands a powerful tool to boost customer retention and improve the customer experience. By leveraging data and predictive modeling, brands can gain granular insights ...

Learn about how predictive analytics works, the types, benefits, use cases, and top tools. Predictive analytics is a process that uses statistics and modeling techniques to make informed decisions ...

These and other 3D organoid models developed by Predictive Oncology substantially complement its AI-driven 2D platform and 3D spheroids, which utilize human tumor samples to accelerate drug ...

Predictive tools can drive improvements across multiple dimensions — reducing avoidable hospitalizations, lightening the workload on care teams, and strengthening financial stability.

Predictive models are used across the student life cycle in higher education, to gauge yield in admissions as well as retention and graduation initiatives, as campus leaders look to understand what ...

This study compared 6 algorithmic fairness–improving approaches for low-birth-weight predictive models and found that they improved accuracy but decreased sensitivity for Black populations.

PITTSBURGH, June 12, 2025 (GLOBE NEWSWIRE) -- Predictive Oncology Inc. (NASDAQ: POAI), a leader in AI-driven drug discovery, announced today the company has successfully developed 3D organoid ...