Artificial Intelligence, Genomics Combo Boosts Precision Medicine

Source: Thinkstock By Jennifer Bresnick July 13, 2017 – The combination of artificial intelligence and genomic sequencing could significantly accelerate the development of precision medicine, researchers from the New York Genome Center (NYGC), The Rockefeller University, and IBM suggest in a new journal article. Using IBM Watson for Oncology’s cognitive computing skills to examine whole genome sequencing data, researchers were able to analyze more genomic variants in less time than they could when employing other methodologies.  The automated platform took ten minutes to deliver a report containing potentially actionable genomic insights.  The same task would require approximately 160 hours of manual curation and human analysis. The study indicates that artificial intelligence may be able to quickly and efficiently bring precision medicine efforts to more patients and organizations with a much lower bar to entry than currently exists. “Our partnership has explored cutting-edge challenges and opportunities in harnessing genomics to help cancer patients,” said principal investigator Robert Darnell, MD, PhD, Robert and Harriet Heilbrunn Professor and Senior Attending Physician at The Rockefeller University and Founding Director of the New York Genome Center. READ MORE: Machine Learning Algorithm Outperforms Cardiologists Reading EKGs “We provide initial insights into two critical issues: what clinical value can be extracted from…

Link to Full Article: Artificial Intelligence, Genomics Combo Boosts Precision Medicine

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