Machine learning methods are becoming increasingly important in the analysis of large-scale genomic, epigenomic, proteomic and metabolic data sets. In this Review, the authors consider the ...

A commentary advocates the proper application of artificial intelligence in healthcare and warns of the dangers when machine learning algorithms are misused. An international team of researchers ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

ZAC Cognitive Explainable-AI (CXAI) algorithms, based on Concept-Learning, have many major advantages over other AI/ ML algorithms in the industry and academia, including the industry’s state-of ...