BMJ Open

Introduction to secret sharing based secure multiparty computation in health data

Background Joint analyses across multiple health datasets can increase statistical power and improve the generalisability of ...
Hosted on MSN

Operationalizing Azure ML Forecasting with Datadog APM Visibility in 2026

In 2026, Azure Machine Learning has evolved from a sandbox for data scientists into a robust platform for operational forecasting, yet many teams still struggle to see what happens after deployment.
Hosted on MSN

Google links Gemini Gems with NotebookLM for precision AI workflows

Google has combined its Gemini Gems customizable AI personas with NotebookLM’s document-grounded research features to deliver consistent, precise, and scalable outputs. This integration enables ...
Journal of Medical Internet Research

Digital Phenotyping for Adolescent Mental Health: Feasibility Study Using Machine Learning to Predict Mental Health Risk From Active and Passive Smartphone Data

Results: Integration of active and passive data outperformed single-modality models, achieving mean balanced accuracies of 0.71 for SDQ-high risk, 0.67 for insomnia, 0.77 for suicidal ideation, and ...
The Lancet

Causal deep learning for real-time detection of cardiac surgery-associated acute kidney injury: derivation and validation in seven time-series cohorts

aMedical Big Data Research Center, Chinese The People’s Liberation Army General Hospital, Beijing, China bNational Engineering Research Center of Medical Big Data Application Technology, The People’s ...