IBM Watson took only 10 minutes to suggest a personalized cancer treatment, for which the human doctors spend almost 160 hrs.
In a recent experiment, IBM Watson took only 10 minutes to optimize a personalized cancer treatment plan for brain cancer by analysing the patient’s genome sequence. However, the alternative plan produced by human doctors took almost 160 hrs for the same. This is a clear victory of artificial intelligence over the human doctors.
The research paper published on July 11, 2017, in the journal Neurology Genetics. The experiment was performed by analysing whole-genome sequencing(WGS) of a glioblastoma(GBM) patient.
The WGS method is a very time consuming and expensive process. The team have addressed this issue with Watson for Genomics (Watson Genomic Analytics [WGA]), a cancer analytic tool, uses standard variant call files (VCFs), copy number variant (CNV), and differential gene expression data to return a list of recommended cancer drugs.
The result from the Watson also compared with the expert interpretation of the tumour genome by bioinformaticians and oncologists at New York Genome Center (NYGC) for verification of the proposed treatment plan.
This will improve the cancer treatment accuracy, compared to a current situation where about 70% of cancer care (in the United States) is provided by oncologists using traditional methods. Whereas, the Watson uses its cognitive computing capabilities to extract relevant information from millions of pages of medical literature and clinical trials to help to identify therapies associated with the patient’s tumour in no time.
This rise of Artificial Intelligence in medicine will dramatically improve the health care facility.