Large-scale protein and gene profiling have massively expanded the landscape of cancer-associated proteins and gene mutations ...
With the new machine learning methodology, we can now extend our work to investigate how drug-carrying nanoparticles interact with blood proteins and how those interactions change the efficacy of ...
Implementing machine learning in HR requires strategic alignment between your organizational needs and algorithmic ...
Building on previous breakthroughs that showcased a transformer-based language model's capacity to predict adsorption energy ...
Researchers at the University of Edinburgh have developed a groundbreaking laser-based screening method powered by machine ...
Researchers developed an AI debiasing technique that improves the fairness of a machine-learning model by boosting its performance for subgroups that are underrepresented in its training data, while ...
Risk detection plays a crucial role in care management and can potentially influence the progression of the disease.
Cell culture is a fundamental technology used in several fields, from basic research in life sciences to medical, energy, and ...
“When it comes to chemical data, by integrating different modalities, we can construct a comprehensive view. Inspired by this ...
A machine learning model for analysing brain lesion scans after stroke could mean up to 50% more patients receive appropriate ...
Southwest Research Institute (SwRI) collaborated with the Environmental Protection Agency (EPA) to characterize the chemical ...