Their study presents a new combination of computational tools that merges the Chinese Pangolin Optimizer (CPO) with the ...

The study demonstrates machine learning's role in predicting compressive strength of rice husk ash concrete, aiding the shift ...

The paper identifies three major areas in which AI is now vital. These include financial market prediction, macroeconomic ...

The findings position SII as a potentially valuable biomarker for risk stratification in patients with COPD and AF, with the identified threshold potentially serving as a clinical decision point for ...

Skin cancer impacts millions of Americans annually, but your chances of getting skin cancer and when it is diagnosed depend ...

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

Background: Chronic obstructive pulmonary disease (COPD) and atrial fibrillation (AF) frequently coexist, and their concurrence is associated with ...

Forests are key regulators of the Earth’s carbon and water cycles, yet their resilience is increasingly challenged by global ...

Background Recent cardiovascular risk equations from the USA and United Kingdom use routinely collected electronic medical records (EMRs), while current equations used in Australia (AusCVDRisk) have ...

AI-assisted signal debugging has broad impact across many domains.

Smart health refers to the integration of cutting-edge technologies into healthcare systems to improve patient care and apply ...