Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
BMJ Open

Association between maternal age at childbirth and children’s internalising problems in the USA: a cross-sectional mediation analysis of housing instability and family ...

Objectives The optimal maternal age at childbirth has been a topic of bourgeoning literature, with earlier ages offering physiological benefits for maternal recovery. In contrast, later ages to give ...
Dot Physics on MSN

Building an elastic collision simulator with springs in Python

Building an elastic collision simulator with springs in Python to model realistic physics interactions and dynamic object collisions. Learn how to implement spring forces, momentum conservation, and ...
InfoQ

Microsoft Agent Framework RC Simplifies Agentic Development in .NET and Python

Microsoft has announced that the Microsoft Agent Framework has reached Release Candidate status for both .NET and Python. This milestone indicates that the API surface is stable and feature-complete ...

The Missing Layer In AI Agents: The 'Harness' That Makes Them Reliable

Most teams can get an AI agent to look impressive in a demo. The hard part is shipping an agent that stays reliable once it’s exposed to real users, messy data and changing systems.