Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic lateral sclerosis, or ALS, earlier from a blood sample, a study suggests.

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory failure (ARF) represents one of its most critical complications.

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

The increasing global demand for sustainable energy and carbon materials, alongside pressing environmental concerns, ...