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 ...

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

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

If algorithms can track, classify, and predict behaviour at scale, can they also narrate a life before it is lived?

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

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

Explore how machine learning in insurance enhances risk assessment, fraud detection, and personalization. ✓ Subscribe for ...

The partners in Lantern, a machine learning software firm focused on product distribution, pitched the technology to HVACR ...

Lockheed Martin has secured a nearly $148 million contract modification from the U.S. Department of Defense to certify Israel ...