Obesity is considered a principal public health concern and ranked as the fifth foremost
reason for death globally. Overweight and obesity are one of the main lifestyle illnesses that …

Precision medicine uses genetic, environmental and lifestyle factors to more accurately
diagnose and treat disease in specific groups of patients, and it is considered one of the …

Background Obesity is a leading cause of preventable death worldwide. Artificial
intelligence (AI), characterized by machine learning (ML) and deep learning (DL), has …

Since 2017, we have used IonTorrent NGS platform in our hospital to diagnose and treat
cancer. Analyzing variants at each run requires considerable time, and we are still struggling …

The concept and policies of multicancer early detection (MCED) have gained significant
attention from governments worldwide in recent years. In the era of burgeoning artificial …

Data mining is the process of analyzing a massive amount of data to identify meaningful
patterns and detect relations, which can lead to future trend prediction and appropriate …

Machine learning is a class of algorithms able to handle a large number of predictors with
potentially nonlinear relationships. By applying machine learning to obesity, researchers …

Abstract Background Group B streptococcus (GBS) is an important pathogen that is
responsible for invasive infections, including sepsis and meningitis. GBS serotyping is an …

Many studies have been conducted with the goal of correctly predicting diagnostic status of
a disorder using the combination of genomic data and machine learning. It is often hard to …

Listeria monocytogenes belongs to the category of facultative anaerobic bacteria, and is the
pathogen of listeriosis, potentially lethal disease for humans. There are many similarities …