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

Machine-learning models accurately pinpointed differences in immune responses in healthy controls and those living with HIV.

Incorporating marble dust and polypropylene fibers in concrete boosts strength and durability, highlighting the role of ...

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 ...

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

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 ...

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 ...

A new study reveals the dual use of a FAP molecule that inhibits fibrosis and facilitates drug delivery, offering insights ...

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

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

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 ...