An AAPS Open editorial spotlights chemical engineer Lucas Attia, whose PhD work matured nanoemulsion templating for drug ...

A retrospective study of 186 traumatic brain injury patients found that a model using four admission variables predicted ...

Hello.This is Pharmer.In the previous article, "How Far Can Machine Learning Be Used to Predict Protein Binding Rates?", we ...

A new breed of models has rejuvenated predictive AI. But successful deployment demands a new business-value playbook.

Relating brain activity to behavior is an ongoing aim of neuroimaging research as it would help scientists understand how the brain begets behavior — and perhaps open new opportunities for ...

Researchers have created a machine learning model that identifies patients with non-alcoholic fatty liver disease (NAFLD) at ...

Machine learning in financial services operates under different constraints than general-purpose prediction systems.In areas ...

Predictive analytics allows data professionals to identify trends, forecast outcomes and test assumptions using data. When these capabilities are applied to simulation modeling, they make models more ...

Over the past two decades, the payments industry has grown into a complex, highly technical network of moving parts and ...