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

The change represented by the inaugural installation at the Los Angeles County Museum of Art's new David Geffen Galleries ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

This study characterizes several novel activities of SARS-CoV-2 helicase nsp13, providing valuable insights into potentially new functions of this essential RNA-processing enzyme in the virus life ...

Bringing a single drug to market can take more than a decade and cost billions of dollars, with fewer than one in ten candidates successfully reaching approval. Against this backdrop, generative AI is ...

A team of researchers at Kyoto University have demonstrated that the chaotic component of heartbeat variability is uniquely ...

Applying a few simplifying assumptions and constructing a set of ordinary differential equations leads to a model that ...

Abstract: The sparse identification of nonlinear dynamics (SINDy) approach can discover the governing equations of dynamical systems based on measurement data, where the dynamical model is identified ...

NPL, the UK's National Metrology Institute (NMI), plays a central role in providing accurate and trusted measurement across ...