Perelman School of Medicine cardiologist Rajat Deo has been studying electrocardiographic (ECG) data and cardiac rhythms for ...

AI-driven systems are transforming on-call operations by shifting the focus from alert detection to real-time interpretation of complex incidents. This approach integrates anomaly detection, ...

From decoding human emotions through walking patterns to advancing robotics and sports performance, motion analysis is ...

Wearable glucose monitors offer real‑time data, but for healthy people no guidelines exist to interpret the numbers ...

Polytec's optical measurement equipment focuses on dynamic response measurements. MEMS devices typically have actively moving ...

Databricks Inc. today introduced Genie Code, an artificial intelligence agent designed to automate complex data engineering and analytics tasks. The move extends the rapid evolution of agents from ...

In the new study, Apple taught an AI model to recognize hand gestures that weren’t part of its original training dataset. Here are the details. Apple has published a new study in its Machine Learning ...

Panome Bio, a CRO, launched MassID™, a cloud-based computational platform designed to improve how researchers process and interpret untargeted LC/MS metabolomics data. The platform is described in a ...

interpretablePA was created for researchers and clinicians interested in measuring human movement using raw-acceleration accelerometers in various populations or individuals. A Shiny application for ...

Objectives To investigate associations between daily physical activity, activity intensity and step counts with incident cancer risk. Methods Prospective analysis of UK Biobank participants who wore ...

Early insight. Timely support. Real student progress. Schools have no shortage of data, but making that data usable for timely Multi-Tiered System of Support (MTSS) decisions remains a major challenge ...