Media formulation was improved using a combination of advanced machine learning techniques, thermodynamic modeling, and ...

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

Apart from simple diagnosis, the study takes an important step toward predictive health monitoring by modeling the risk of ...

Discover how machine learning is reshaping chemical manufacturing—from optimizing reactions and reducing waste to ...

With the recent first light milestone for the Vera Rubin Observatory, it's only a matter of time before one of astronomy's most long-awaited surveys begins. The Legacy Survey of Space and Time (LSST) ...

Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting ...

Decision-making often involves trial and error, but conventional models assume we always act optimally based on past ...

Massive flooding triggered by the Kosi river has caused extensive damage in parts of Bihar over the years, affecting lives ...

A research team from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences has developed a ...

Probability and Statistics Group research at the School of Mathematical and Computer Sciences at Heriot-Watt University, Edinburgh.

Biopharma and CROs Gain Direct Access to PhaseV's Leading Platform to Accelerate Clinical Trials and Cut Costs by Up to 50% ...