Patent ID: 11900600
Assignee: ALTIUS INSTITUTE FOR BIOMEDICAL SCIENCES
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 19:
20. The method of claim 19, wherein the method further comprises:
d) acquiring a series of one or more images of a population of cells both before and after independently contacting the cells with a plurality of drug candidates, wherein at least one image of the series comprises an image of one or more cells;
e) separately processing the series of one or more images acquired before and after the independently contacting step for each drug candidate of the plurality of drug candidates using a statistical or machine learning algorithm, wherein the statistical or machine learning algorithm generates a cell characterization data set for each series that comprises a basis representation of one or more key attributes of cells within the population of cells;
f) comparing the cell characterization data set for the population of cells after independently contacting the cells with the plurality of drug candidates to that for the population of cells before independently contacting the cells with the plurality of drug candidates, wherein detection of a change in the cell characterization data set indicates that a drug candidate of the plurality of drug candidates activates or inactivates an intracellular signaling pathway that affects at least one key attribute of cells within the population of cells; and
g) selecting the drug candidate to be used as therapeutic drug based on a comparison of the characterization data set of the drug candidate with characterization data sets of the plurality of drug candidates.