Ian Shadforth,Timothy William Fawcett Burton,Sunny Gupta,Farhad Fathieh
申请号：
US16725402
公开号：
US20200211713A1
申请日:
2019.12.23
申请国别(地区):
US
年份:
2020
代理人:
摘要：
The exemplified methods and systems employs non-invasively acquired biophysical measurements of a subject in a residue analysis that is structured as a three-dimensional volumetric object to which machine extractable features associated with a geometric associated aspect of the three-dimensional volumetric object may be derived and used for in the training and/or prediction of a disease state. The system generates a residue model from a point-cloud residue generated from an analysis of the plurality of biophysical signal data sets. The system generates a three-dimensional volumetric object from the point-cloud residue from which machine extractable features associated with the point-cloud residue maybe extracted.
