Systems and methods for predicting expression levels
AssigneeSanofi
InventorsAnne-Laure Bauchet, Anthony Mei, Qi Tang
Life of this patent
Estimating the term…
Abstract
One or more methods of predicting expression levels. At least one of the methods includes preprocessing image data representing at least one biological image of a patient to generate preprocessed image data representing at least one preprocessed biological image of the patient; and applying a trained machine learning model to the preprocessed image data to predict, based at least partially on the at least one preprocessed biological image, an expression level of a biological indicator.
Claims20
A method, comprising:
- preprocessing image data representing at least one biological image of a patient to generate preprocessed image data representing at least one preprocessed biological image of the patient;
- and
- applying a trained machine learning model to the preprocessed image data to predict, based at least partially on the at least one preprocessed biological image, an expression level of a biological indicator.
A system, comprising:
- a computer-readable memory comprising computer-executable instructions;
- and
- at least one processor configured to execute the computer-executable instructions, wherein when the at least one processor is executing the computer-executable instructions, the at least one processor is configured to carry out operations comprising:
- preprocessing image data representing at least one biological image of a patient to generate preprocessed image data representing at least one preprocessed biological image of the patient;
- and
- applying a trained machine learning model to the preprocessed image data to predict, based at least partially on the at least one preprocessed biological image, an expression level of a biological indicator.
A non-transitory computer-readable storage medium having instructions executable by one or more processors to cause the processors to perform operations comprising:
- preprocessing image data representing at least one biological image of a patient to generate preprocessed image data representing at least one preprocessed biological image of the patient;
- and
- applying a trained machine learning model to the preprocessed image data to predict, based at least partially on the at least one preprocessed biological image, an expression level of a biological indicator.
Dependencies are inferred from the claim text.