Reported accuracies were 86% (Random Forest) and 96% (convolutional neural networks), positioning retinal imaging as a candidate scalable tool for underserved populations. AI-powered polarized-light ...

Introduction With the rapid ageing of the global population, the number of persons with dementia (PwDs) is increasing, placing substantial psychological and physical burdens on family caregivers.

Despite significant mathematical refinements, econometrics has shown the weaknesses of its logical underpinnings, primarily during economic turning points—financial crises, pandemics, and geopolitical ...

Carol M. Kopp edits features on a wide range of subjects for Investopedia, including investing, personal finance, retirement planning, taxes, business management, and career development. Erika Rasure ...

At Carnegie Mellon University, researchers are helping cities learn how to make room for too much of a good thing: renewable energy. Zhu and his research colleagues partnered with utility company AES ...

Objective Biologics for systemic lupus erythematosus (SLE) demonstrate variable treatment responses across trials. We evaluated baseline biomarkers as predictors of response to guide personalised ...

In the 20th-century statistics wars, Bayesians were underdogs. Now their methods may help speed treatments to market.

Learn the distinctions between simple and stratified random sampling. Understand how researchers use these methods to accurately represent data populations.

Milestone articles have highlighted the frequency and types of statistical errors in research,1–5 yet fundamental errors persist across various disciplines. With a background in biostatistics and over ...

Cambridge, MA – Let’s say an environmental scientist is studying whether exposure to air pollution is associated with lower birth weights in a particular county. They might train a machine-learning ...

In this new work, statistical mechanics is used to understand how different mathematical models "compete" when trying to explain a system. This matters because many scientific fields rely on ...