Public health (PH) is a priority in all societies worldwide. It is a branch of healthcare concerned with preserving and enhancing the health of the population. A key element of any effective and ...

Table 1 Summary of the pros and cons of the existing methods for tissue sampling. Full size table To enhance current diagnostic methods, affordable real-time guidance techniques are needed for tissue ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

Researchers developed a hybrid UMAP-HDBSCAN-SVM machine learning workflow to rapidly classify low-loss STEM-EELS spectrum ...

Most working professionals already understand that AI skills are no longer optional they are a career necessity.