Patent · US Active

System and methods for in vitro structural toxicity testing

US11808760B1 · kind B1 · utility

0Cited by

0References

16Claims

0Family size

Assignee

Curi Bio, Inc. · US

Inventors

Seyyedeh Mahnaz Maddah · Menlo Park, US
Kevin E. Loewke · Menlo Park, US

Key dates

Filing date	Feb 14, 2020
Grant date	Nov 7, 2023
Priority date	—
Expiry date	Mar 19, 2040

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/30024
WIPO fieldMeasurement
WIPO sectorInstruments

Abstract

A system and process use artificial intelligence to evaluate the toxicity of drugs on cells. In some embodiments, a convolutional neural network is trained to identify features in cells and thereafter identify when structural changes in cells are signs of damage from exposure to a drug. Some embodiments use a 2-class deep neural network, comparing drug-treated cells to controls, to learn which images may show signs of toxicity as a result of the drug. In some applications, the system may capture images from a time-lapse experiment to determine from the cell cultures how a drug affects a cell type over time.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.