Hacker Noon August 12, 2022
In 1994, Dr. Kevin Hughes and his colleagues wanted to test a treatment for early stage breast cancer in older women. Even though around 40,000 women in the US could qualify for this trial every year, it took Hughes and his team a whole five years to recruit 636 participants.
Some time later, Mayo Clinic was planning another study involving breast cancer. The researchers relied on IBM’s Watson for artificial intelligence (AI)-powered clinical trial patient matching and reported an 80% increase in monthly enrollment. If Dr. Hughes would’ve had access to such technology, he would’ve recruited enough participants sooner.
Nowadays, pharmaceutical companies benefit from healthcare AI development services to facilitate their clinical studies’ planning and execution. The global AI-based clinical...
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