Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

For her interdisciplinary thesis, Nora Graves compared two automated approaches for adding accent marks to text in the Yorùbá ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Why settle for a trial-and-error approach, reviewing an almost endless number of combinations, when you can systematically ...

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

Life in the wild often comes down to survival, and for many species, survival depends on others. A new global study suggests ...

New research provides evidence that while advanced artificial intelligence models process language with remarkable skill, ...

European Research Council will fund project on the simulation of biomolecular dynamics with just over three million euros Physicist Cecilia Clementi at Freie Universität Berlin is set to receive an ...

A new study links increased plastic waste imports to measurable increases in PM2.5 near waste disposal sites in Indonesia.

Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the ...

A new Quantum Monte Carlo algorithm in Physical Review Letters marks a significant step forward in the quest to build ...

The biopharmaceutical industry is rapidly moving from empirical, trial and error process development toward digitalized and ...