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 ...

Two new advanced predictive algorithms use information about a person's health conditions and simple blood tests to accurately predict a patient's chances of having a currently undiagnosed cancer, ...

Geisinger and IBM this week announced this week that they've co-created a new predictive model to help clinicians flag sepsis risk using data from the integrated health system's electronic health ...

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

ACGRIME is an improved metaheuristic algorithm derived from the original RIME framework. ACGRIME integrates three strategic mechanisms: chaotic initialization, adaptive weighting and Gaussian mutation ...

As the Army prepares for large-scale combat operations (LSCO), the importance of effective logistics has never been greater. In contested environments, where supply chains are vulnerable to disruption ...

MyHomeQuote introduced Performance Prediction Algorithm, technology designed to move campaigns from reactive optimization to predictive performance management.