study graphic (IMAGE)

University of Utah

study graphic

Caption

Using the quantum mechanical principles of entanglement and superposition, Alter and team’s novel AI/ML framework split approximately 6 million tumor and blood genomic features from only 101 neuroblastoma patient samples into three orthogonal sets of two linked patterns each, where two of the sets predict health outcomes, and the third is correlated with normal gender variation.

 [KH1]just fyi on this style change: CMOS has a rule about staying consistent in any given section with either digits or written numbers

 [OA2]Oh, I see, thanks. (I guess I use words to ten, and then from 11 on numbers... But this style is fine too.)

Credit

Orly Alter, University of Utah

Usage Restrictions

This image is under the Creative Commons Attribution-Share Alike 4.0 International (CC BY-SA 4.0) license, and is free to use, modify, and distribute.

License

Original content

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.