This study examines a valuable question regarding the developmental trajectory of neural mechanisms supporting facial expression processing. Leveraging a rare intracranial EEG (iEEG) dataset including ...

The ability to anticipate glucose changes before they happen is one of ML’s biggest contributions to CGM. Predictive models ...

Researchers identified that triterpene glycosides from the starfish Solaster pacificus can kill drug-resistant prostate ...

Vehicle emissions are a leading source of greenhouse gases, yet conventional modeling tools assume symmetrical and proportional relationships between fuel use, engine size, and emissions. This ...

A research team used flowering data from 169 rice genotypes—each with over 700,000 SNP markers—across multiple environments ...

China: A recent NHANES study, published in the International Urogynecology Journal, highlights the combined impact of ...

Artificial Intelligence (AI) is transforming credit risk modeling by offering methods and tools that serve as a complement - or even an alternative - to ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend ...

Investigators concluded that infants with BESS exhibited distinct head growth patterns compared to those with isolated ...

A new study published in the journal of Nature Scientific Reports highlighted the importance of copper as a micronutrient in ...

This type of regression was always going to be the most likely outcome for Luzardo, but it's still been a pretty big blow for the Phillies' rotation.

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, offering a more reliable and efficient alternative to traditional estimation ...