Background/aims Ocular surface infections remain a major cause of visual loss worldwide, yet diagnosis often relies on slow ...

Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...

Enterprise technology vendors are racing to make AI work against the structured and relational data inside databases, data ...

Index modulation (IM) has emerged as a promising technique for improving spectral efficiency and hardware efficiency in next-generation communication ...

Numbers are the language of science—yet in research articles, they are often buried within the text and difficult to analyze.

BOSTON, March 13 (Reuters) - A federal judge on Friday temporarily blocked President Donald Trump's administration from requiring universities to collect and turn over data by next week to prove they ...

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...

EM, biochemical, and cell-based assays to examine how Gβγ interacts with and potentiates PLCβ3. The authors present evidence for multiple Gβγ interaction surfaces and argue that Gβγ primarily enhances ...

The global rise in the prevalence of obesity highlights the need for accessible and effective solutions for obesity ...

Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.

Background Current automatic software uses a fixed apparent diffusion coefficient (ADC) threshold (≤620×10⁻⁶ mm²/s) to ...