A new study published in Therapeutic Innovation & Regulatory Science provides crucial insights into the design and ...

Research published through UCLA establishes frameworks for bilingual students' learning in digital mathematics environments, addressing ...

An international research team reveals new molecular mechanisms associated with pathogenic mutations in the protein ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

Quantitative and qualitative approaches face different challenges and expectations, particularly when it comes to data ...

People's perceptions and their interpretation of the world are known to often be influenced by their expectations and past ...

By Dr. Liji Thomas, MD Analyzing nearly 11.5 million births across four decades, researchers use rigorous methods to show that fluoridated drinking water is not linked to lower birth weight. Study: ...

A team from the eHealth Lab research group at the Universitat Oberta de Catalunya (UOC) has carried out a study to identify the most important criteria for patients when using apps for the treatment ...

Case-cohort study designs represent a cost-effective and efficient strategy for analysing time-to-event data, particularly when the event of interest is rare. By selecting a random subcohort along ...

Virtualization helps overcome the limitations of traditional test systems. By consolidating multiple PCs into a single ...

In order to understand metabolic processes, it is important to be able to detect critical individual elements and metabolites in living organisms. Researchers from Heinrich Heine University Düsseldorf ...

Global navigation satellite systems (GNSS) are vital for positioning autonomous vehicles, buses, drones, and outdoor robots. Yet its accuracy often degrades in dense urban areas due to signal blockage ...