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

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

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

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 ...

A machine-learning loop searched 14 million battery cathode compositions and found fivefold performance gains across four metrics using fewer than 200 experiments.

The future belongs to organizations that fuse exponential technology with exponential human learning grounded in a deep ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

To his credit, Kasy is a realist here. He doesn’t presume that any of these proposals will be easy to implement. Or that it will happen overnight, or even in the near future. The troubling question at ...

SeaCast is an innovative high-resolution forecasting system for the Mediterranean that harnesses AI to deliver faster and ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

A new artificial intelligence-driven pipeline developed in a collaborative research combines protein structure prediction, sequence design, and live-cell screening together to enable rapid conversion ...