Dr. Mathers tapped on the screen, pulling up the patient's genetic and protein profile. Otherwise healthy male, 35, he'd had a heart attack and was alive because his wife had noticed the signs. The surgery had been a success. A rapid MRI of his heart, processed by the quantum supercomputer 'Eigenweasels,' had revealed the blockage and allowed the surgeons to place a stent with a minimally invasive surgery. Even so, he was going to be in pain.

The profile was pretty standard except for one thing. Morphine intolerance. Eignweasels, fed genetic and protein data from tens of millions of patients, and cross-correlated to their medical histories, crunched the data in enormous, ongoing simulations, and found out what combinations of genetics and protein markers led to which diseases and conditions. Not a single condition was linked to only one gene. Every condition had multiple variables that caused it.

Dr. Mathers tapped on the screen, accepting the recommendation to avoid morphine. The program suggested an alternate pain medication. He tapped through and reviewed the suggestion. Accepting it, he entered the room to speak to the patient's wife.

“Ma'am, I have wonderful news. I expect your husband to make a full recovery.”