Bone Marrow Transplantation - Application of machine learning algorithms for clinical predictive modeling: a data-mining approach in SCT Skip to main content Thank you for visiting nature.com.

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Machine learning (ML) has the potential to transform oncology and, more broadly, medicine. 1 The introduction of ML in health care has been enabled by the digitization of patient data, including the ...

The goal of implementing artificial intelligence and machine learning in clinical research is not to replace humans with digital tools but to increase their productivity. By Gary Shorter on May 17 ...

When asked what technologies they plan to have in place by the end of 2021, almost half of respondents cited data integration. About one-third cited natural language processing (NLP) and business ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Over the last few years, talking about artificial intelligence (AI) and machine learning ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

Machine learning is a tremendous resource for researchers. Yet not understanding the limitations of data and algorithms can lead to erroneous conclusions. Skip to Main Content ...