The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches to improve ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...

Misreading churn leads to flawed CLV assumptions. Analyze retention over time and identify the customers that actually drive ...

Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...

Grape stems are rich in bioactive phenolic compounds, offering potential for developing antioxidant-rich products in the food industry. The study employed UV-vis spectrophotometry and HPLC to quantify ...

Dr Yves R. Sagaert emphasizes the importance of organizations shifting away from traditional static budgeting, which relies ...

Pioneering University of Stirling-led research has revealed the diverse and damaging impact Himalayan balsam has on river ...

Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...

Generative AI vendors claim their software ‘learns’ from what it’s fed. Stanford researchers suggest training data gets ...