Artificial Intelligence that detects breast cancer, enables medical imaging in low-resource countries and that identifies the ...

This study presents a large, systematically curated catalog of non-canonical open reading frames (ncORFs) in human and mouse by reanalyzing nearly 400 Ribo-seq datasets using a standardized pipeline; ...

Step selection functions are a useful tool for analysing fine-scale human movements to understand environmental interactions in the context of infectious disease epidemiology.

Tissue expansion, originally developed for super-resolution imaging, has become a foundation for expansion omics (ExO), a ...

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...

Background The Swedish Targeted Health Dialogue (THD) is a widely implemented, individual-focused intervention involving ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Abstract: Spiking neural networks, known for mimicking the brain’s functionality resulting in efficient algorithms, are gaining attention across various problems and applications. However, their ...

Green Transformational Leadership on Green Creativity: A Quantitative Study Within the Ghanaian Manufacturing Industry ...

Introduction In 2002, hepatitis B vaccines were incorporated into China’s National Immunisation Programme (NIP). In 2009, the ...

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 ...