A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the ...

Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...

A machine learning model predicted cardiac tamponade during AF ablation with high accuracy. Learn how XGBoost may improve risk stratification.

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the environment, offering ...

Advances in machine learning and shape-memory polymers are enabling engineers to design for mechanical performance first and ...

New research in orbital semiconductors, space-based metal 3D printing, and in-space recycling pushes production beyond and reveals lessons for advanced manufacturing on ...

The rule until now has been “no concrete without cement,” but concrete’s traditional binding agent has a high carbon ...

More than half of transplant recipients in a large analysis developed chronic graft-versus-host disease, and 15% died from causes other than cancer relapse. Those numbers capture the uneasy truth of ...

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 ...

The development of next-generation metallic materials is entering a transformative era driven by data-driven methodologies. Traditional trial-and-error ...