Despite data gaps in many countries, the burden of sickle cell disease, especially in west and central Africa, underscores the urgent need to scale up newborn and early childhood screening, ...

The rapid advancement of spatial and single-cell omics technologies has revolutionized molecular biosciences by enabling high-resolution profiling of gene ...

Using data from hospitals and emergency medical service providers to map out areas with the greatest need for trauma care and prehospital whole blood transfusions can enable hospital systems to deploy ...

A Berkeley-trained quantitative researcher who developed quantitative approaches to align internal credit assessments with ...

A new study by Center for Advanced Bioenergy and Bioproducts Innovation (CABBI) researchers investigates how data from a machine learning-enabled high-throughput phenotyping method can (1) aid in ...

Nothing rivals the human brain's complexity. Its 86 billion neurons and 85 billion other cells make an estimated 100 trillion ...

Key TakeawaysGeo-mapping is a practical method for addressing disparities in prehospital trauma care. Statistical analysis demonstrated strong ...

A study found a machine learning model more accurately predicted major adverse cardiac events, such as heart attacks, than ...

Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in ...

A comprehensive new study combines decades of research to reveal that we're missing an essential component in our ...

Media mix modelling platform Prophet has launched a basic guide to assist marketers in identifying blind spots in their ...

A new study led by Dr. Andrea Nini at The University of Manchester has found that a grammar-based approach to language ...