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

A machine learning model for prediction of preeclampsia risk using routinely collected data was feasible among pregnancies in ...

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

The partnership integrates high-resolution multi-omics data generation with predictive multimodal machine learning to support biopharma decision-making in neurology.

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

What was once experimental research is now becoming operational backbone across modern energy systems. In the editorial ...

Modern credit risk management now leans significantly on predictive modelling, moving far beyond traditional approaches. As lending practices grow increasingly intricate, companies that adopt advanced ...

Overview: Machine learning helps businesses target the right customers, boosting sales and cutting wasted ad spend.It enables real-time campaign optimization, p ...

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