… In the same period, advances in artificial intelligence and machine learning have allowed …
to reach real precision medicine for our patients [4–6]. Precision medicine is considered of …

… fields of clinical medicine and bioengineering. The field of personalized medicine stands to
… The support vector machine (SVM) is a rising machine learning approach that offers robust …

… medicine. The grand challenge today is the successful assimilation of genetics into precision
medicine … use of artificial intelligence (AI) and machine learning (ML) methods. Our goal …

… The goal of the present narrative review was to provide an overview of the possible avenues
for personalized medicine in the field of spine medicine. The studies for our review were …

… medical imaging. First, we introduce the types of learning problems commonly employed in
medical … overview of commonly used deep learning methods, including convolutional neural …

… a practical realization of personalized medicine. These factors … personalized medicine
from a machine learning perspective. This definition will be more clear for the machine learning …

… In this work we survey a host of established machinelearning algorithms for their performance
on this task and select the most promising algorithm for further analysis. We attempt to …

… A broad overview of personalized medicine challenges for machine learning. Modeling
population fine structures of genetic variants (colored in purple) to disease causation, especially …

… of dental caries model using machine learning in personalized medicine. The proposed
model, called DCP, uses methods such as random forest (RF), support vector machine (SVM), …

… Personalized medicine is deeply connected to and dependent on data science, specifically
machine learning (often named Artificial Intelligence in the mainstream media). While during …