The application of advanced statistical methods in infectious diseases has never been more pertinent than during the recent COVID-19 pandemic. Traditional ...

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

Medicine has always operated as an “evidence based” field, meaning that it generally pursues experimentation to gather ...

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 ...

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

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

We proposed epistemic parity as a methodology for measuring the utility of differential privacy (DP) synthetic data in ...

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

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

A new statistical framework could speed up the search for rare mutations that cause common diseases, helping researchers zero ...