Study Examines Prediction of Surgical Riskin Growing Population of Adults with Congenital Heart DiseaseNEW ORLEANS — January 31, 2026 — Heart ...

The absence of reliable data on fundamental economic indicators (e.g. real GDP), combined with structural shifts in the economy, can severely constrain the ability to conduct accurate macroeconomic ...

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...

Spinal metastasis, the spread of cancer to the spine, is a frequent complication in advanced cancer. It often causes severe ...

Spinal metastasis, or the spread of cancer to the spine, is a frequent complication of advanced cancer. Surgery may be an option for patients with a favorable prognosis, while palliative care may be ...

Machine learning models accurately predict survival after surgery for upper tract urothelial cancer, supporting personalised follow up and adjuvant treatment decisions.

According to Daniel Acton, chief technology officer at Accelera Digital Group, the sophisticated use cases promised by AI require a robust foundation of high-quality data.

Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic environments with objects of varying stiffness or weight. To tackle this challenge, ...

Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...