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

Scientists from Malaysia and Thailand have developed a novel machine-learning model for predicting the maintenance needs of large-scale solar PV plants. According to a recently published scientific ...

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 ...

PLSKB: An Interactive Knowledge Base to Support Diagnosis, Treatment, and Screening of Lynch Syndrome on the Basis of Precision Oncology We used an innovative machine learning approach to analyze ...

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

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

COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...

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

DataZapp brings AI and machine learning to deliver affordable, predictive demand generation and marketing data for home ...

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