Elisa Tamarkin retraces her father’s work in Vietnam, and untangles the relationship of American newspaper business to the ...

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 ...

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 ...

RT-MALS can provide instantaneous measurements of adenovirus particle size and titer during downstream and fill–finish ...

AVILOO finally makes the switch to e-mobility easy, because we offer a clear answer to the most important question: How good ...

The mood in the entire Newcastle United community is morose. (This article was mostly written during the extended March ...

Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks ...

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

A new study by researchers at the Massachusetts Institute of Technology (MIT) now bridges ...

I make short, to-the-point online math tutorials. I struggled with math growing up and have been able to use those experiences to help students improve in math through practical applications and tips.

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

This valuable work identifies a subpopulation of neurons in the larval zebrafish pallium that responds differentially to varying threat levels, potentially mediating the categorization of negative ...