In the last two decades, mass digitization has dramatically changed the landscape of scholarly research. The ability to ...

CRISPR construct to genetically ablate the GABA transporter GAT3 in the mouse visual cortex, with effects on population-level neuronal activity. This work is important, as it sheds light on how GAT3 ...

A large study of electronic health records has uncovered four common patterns of medical conditions that tend to unfold in ...

A new study published in Scientific Reports has introduced a promising diagnostic tool that could dramatically shorten the ...

BLAs exploit the intended behavior of an API, abusing workflows, bypassing controls and manipulating transactions in ways that traditional security tools often miss entirely.

Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis.

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and collaborators accurately predicts and inversely designs the mechanical behavior of ...

This valuable study investigates how the neural representation of individual finger movements changes during the early period of sequence learning. By combining a new method for extracting features ...

Researchers identified statistically coherent patterns in whale song that may be a signature of cultural learning.

Machine learning has made significant contributions to this field by improving the prediction of protein-ligand interactions. This paper reviews studies that use machine learning to predict ...

In the rapidly evolving field of drug discovery, high-throughput screening (HTS) is essential for identifying bioactive compounds. This study introduces a novel application of data valuation, a ...