English: IBM’s Watson computer, Yorktown Heights, NY (Photo credit: Wikipedia)
Mayo Clinic and IBM today announced plans to pilot Watson, the IBM cognitive computer, to match patients more quickly with appropriate clinical trials, beginning with research studies in cancer. A proof-of-concept phase is currently underway.
“In an area like cancer —where time is of the essence — the speed and accuracy that Watson offers will allow us to develop an individualized treatment plan more efficiently so we can deliver exactly the care that the patient needs,” says Steven Alberts, M.D., chair of medical oncology at Mayo Clinic.
Researchers hope the increased speed also will speed new discoveries.
Clinical trials provide patients with access to new and emerging treatments, yet enrolling participants in trials is one of the more difficult parts of clinical research. Currently it is done manually, with clinical coordinators sorting through patient records and conditions, trying to match them with the requirements of a given study protocol. At any given time, Mayo Clinic is conducting over 8,000 human studies in addition to the 170,000 that are ongoing worldwide. Watson’s cognitive computing ability will help sift through available Mayo clinical trials and ensure that more patients are accurately and consistently matched with promising clinical trial options.
“With shorter times from initiation to completion of trials, our research teams will have the capacity for deeper, more complete investigations,” says Nicholas LaRusso, M.D., a Mayo Clinic gastroenterologist and the project lead for the Mayo-IBM Watson collaboration. “Coupled with increased accuracy, we will be able to develop, refine and improve new and better techniques in medicine at a higher level.”
This version of Watson will be especially designed for Mayo Clinic. As it progresses in its tasks and matures through this collaboration, it will learn more about the clinical trials matching process, become even more efficient and likely more generalizable. Watson also may help locate patients for hard-to-fill trials, such as those involving rare diseases.
The Latest on: Clinical trial research
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The Latest on: Clinical trial research
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