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

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Climate and ocean models use a series of equations to represent complex natural processes. However, the equations used in ...

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

Managing a medical supply chain in low- and middle-income countries can mean navigating a landscape prone to extreme and ...

More than 20 faculty members and several students from across academic disciplines attended a two-day training workshop on June 4–5 to learn how AI machine-learning skills can assist with their ...

Overview Leading vendors provide scalable platforms for efficiently managing complex big data workloads.Cloud integration and ...

Data is becoming one of the most valuable assets in the digital economy for organizations in all industries. Each second, ...

The FDA advisory panel unanimously supported mRNA-1010/mFLUSIVA for adults 50–64 and 65+, and the stock is already reacting ...

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...