Open Heart

Artificial intelligence-based clustering to identify functional risk phenotypes in heart failure

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
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 ...
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 ...
AHA/ASA Journals

Multistage Electrocardiographic Profiling for Mental Stress-Induced Myocardial Ischemia in Women: A Prospective, Age-Matched Cohort Study in China

BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...
Hosted on MSN

Forests are breaking our climate models

Climate scientists love trees, but forests are creating a massive blind spot in our predictions. From carbon sinks to permafrost, this video reveals why our models might be way off and what that means ...
Phys.org

Wildfire prevention models miss key factor: How forests will change over decades

Eucalyptus trees, laden with flammable oils, could spread into Portugal's south-central region by 2060 if changing climate conditions make the area more hospitable to their growth, creating wildfire ...
The Conversation

Mangrove loss is making the Niger Delta more vulnerable: we built a model that can track how the forests are doing

Chinomnso Onwubiko's study is affiliated to the World Bank Centre of Excellence in Coastal Resilience, University of Cape Coast. She received funding from the World Bank. Rivers State on Nigeria’s ...
Wired

AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
Mongabay

Project sees long-term success restoring forests in the high Andes: Study

The Polylepis forests of Peru are some of the highest high-altitude forests in the world, playing an essential role in the water cycle. Over the past few decades, various restoration projects have ...
EurekAlert!

Researchers upgrades 3-PG forest model for improved accuracy

The study, published in Forest Ecosystems, presents a refined update to the 3-PG (Physiological Processes Predicting Growth) model. Its major innovation is adding a carbon storage pool specifically ...
Visual Studio Magazine

Aspire 13 Makes Python a First-Class Workload with .NET and JavaScript

Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...
VentureBeat

Black Forest Labs launches Flux.2 AI image models to challenge Nano Banana Pro and Midjourney

It's not just Google's Gemini 3, Nano Banana Pro, and Anthropic's Claude Opus 4.5 we have to be thankful for this year around the Thanksgiving holiday here in the U.S. No, today the German AI startup ...