Data alone isn’t enough. The true advantage lies in how organizations use data to make smarter, faster and more responsible ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

Researchers at Örebro University in Sweden have developed two new AI models that can quickly and accurately detect dementia, including Alzheimer’s ...

In a complex regulatory environment, post-market surveillance is a continuous process that demands precision, adaptability and scale. As life sciences organizations increasingly rely on real-world ...

Sydney’s MCA leads a timely institutional conversation with a major summer exhibition that replaces fear of AI with a human ...

What's the real value in AI tools — and what separates those who use them well from those who don't? Sam Ransbotham, host of MIT Sloan Management Review's "Me, Myself and AI" podcast, joins Todd ...

AI in Education, Machine Learning, Educational Research Methods, Causal Inference, Explainable AI Mgonja, T. (2025) Archaic Methods in a Data Rich World: Why Educational Research Must Embrace AI ...

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

Artificial intelligence is already reshaping how I read recipes, plan meals, and even argue about nutrition, so it is no surprise that the same tools are now being pointed at one of the most ...

For decades, biologists treated DNA as a static string of letters, a linear code that cells read like text on a page. A new ...

Neurological disorders, such as Alzheimer’s disease, Parkinson’s disease, stroke, and multiple sclerosis, are major causes of disability and mortality, ...

The applied mathematician and Ramsey Theory Group founder launches a mission to reshape how organizations understand and trust AI.