How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by ...

How people with compromised immune systems respond to vaccines is an important area of immunological research. A new study led by York University found that not only could machine-learning models ...

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

A study published in The Journal of Engineering Research (TJER) at Sultan Qaboos University presents an advanced intrusion detection system (IDS) designed to improve the accuracy and efficiency of ...

Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

York U led study found clear vaccine-initiated immune response biomarkers between HIV positive and HIV negative groups, but outliers underscore ...

“Tooth agenesis, a congenital condition characterized by the absence of one or more teeth, is among the most common and ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

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 ...

Time series electrocardiography combined with AI predicted cardiac arrest with remarkable accuracy. Discover how this ...