Background The burden of cardiovascular events in Africa is projected to rise significantly in the coming decade, placing ...

SEE: How to Measure Data Quality (TechRepublic) Popular predictive analytics tools Tools can range from no-code platforms and data lakes to machine learning algorithm libraries.

Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the brain's wiring supports the way we think and act. The study, published ...

The first step is to clean and structure the data into a format that AI algorithms can efficiently process and analyze to extract meaningful insights and make accurate predictions.

With proper data governance, the pharma industry can improve patient-centricity in trials and bring lifesaving therapies to market quickly and safely.

However, challenges include concerns about data privacy, potential biases in AI algorithms, and the risk of job displacement for educators. The quality of education depends on responsible AI ...