Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...

Discover how governments employ blockchain analytics to monitor and trace cryptocurrency transactions, enhancing transparency ...

Unlike claims or EHR data, diagnostics reveal what's occurring biologically in real time – often before symptoms emerge.

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

Khrystyna Voloshyn, Data Scientist, Tamarack Technology Scott Nelson, Chief Technology and Chief Product Officer, Tamarack ...

A key element to this paradigm shift is the deployment of a distributed sensor network that can continuously monitor water ...

X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...

WholeSum raised new funding to expand its AI-based qualitative analytics platform, helping organisations extract reliable ...

The HOLiFOOD consortium is reimagining food safety risk assessment for the benefit of all stakeholders in the food chain ...

Objective: To understand patient portal engagement stratified by patient characteristics among adults 50 years and older with at least 1 common chronic medical condition using electronic health ...

Researchers have created an AI model, 'SleepFM', that predicts health risks across 130 conditions by analyzing sleep data. Developed with six lakh hours of data from 65,000 participants, SleepFM ...