Information processing device, screening device, information processing method, screening method, and program
An information processing device includes: an acquirer configured to acquire images obtained by imaging cells differentiated from pluripotent stem cells derived from a subject; and a predictor configured to input the images acquired by the acquirer to a model trained on data in which information indicating at least an intractable neurological disease is associated with an image obtained by imaging the cells of the intractable neurological disease differentiated from the pluripotent stem cells, and predict an onset of the intractable neurological disease of the subject based on output results of the model to which the images were input.
1. An information processing device comprising:
a processor configured to:
acquire images obtained by imaging cells differentiated from pluripotent stem cells derived from a subject;
input the acquired images to a neural network trained on training data in which information indicating at least a phenotype of a neurological disease is associated with an image obtained by imaging cells of the neurological disease differentiated from the pluripotent stem cells; and
predict an onset of the neurological disease of the subject based on the information indicating the phenotype output by the neural network in response to the acquired images input,
wherein:
the training data used for training the neural network is data in which age at the onset of the neurological disease is further associated with the image obtained by imaging the cells of the neurological disease,
the neural network outputs the age when the acquired images obtained by imaging the cells are input, and
the processor being further configured to predict a time period until the onset of the neurological disease of the subject based on the age output by the neural network.
2. The information processing device according to claim 1 , wherein:
the training data used for training the neural network is data in which a symptomatic period of the neurological disease is further associated with the image obtained by imaging the cells of the neurological disease,
the neural network outputs the symptomatic period when the acquired images obtained by imaging the cells are input, and
the processor being further configured to predict a progression rate of the neurological disease that the subject develops based on the symptomatic period output by the neural network.
3. The information processing device according to claim 1 , wherein:
the training data used for training the neural network further includes data in which information indicating that a cell does not show the phenotype of the neurological disease is associated with the image obtained by imaging the cells differentiated from the pluripotent stem cells derived from a healthy subject.
4. The information processing device according to claim 1 , wherein:
the training data used for training the neural network further includes, in addition to the images obtained by imaging the cells of the neurological disease, data in which information indicating the phenotype of the neurological disease is associated with personal information indicating the sex and presence or absence of genetic polymorphism or a specific gene of the patient with the neurological disease,
the processor being further configured to:
acquire personal information on the sex and the presence or absence of genetic polymorphism or a specific gene of the subject,
input the acquired images and the acquired personal information to the neural network, and
predict the onset of the neurological disease of the subject based on the information indicating the phenotype output by the neural network in response to the acquired images and the acquired personal information input.
5. The information processing device according to claim 1 , the processor being further configured to train the neural network based on the training data.
6. The information processing device according to claim 1 , wherein:
the cells differentiated from the pluripotent stem cells are nerve cells, glial cells, vascular endothelial cells, pericytes, choroid plexus cells, or immune system cells.
7. The information processing device according to claim 1 ,
wherein the neurological disease includes at least one of amyotrophic lateral sclerosis (ALS), Alzheimer's disease, Parkinson's disease, spinocerebellar degeneration, frontotemporal lobar degeneration, Lewy body dementia, multiple system atrophy, Huntington's disease, progressive supranuclear palsy, or Corticobasal degeneration.
8. An information processing method performed by a computer, the method comprising:
acquiring images obtained by imaging cells differentiated from pluripotent stem cells derived from a subject,
inputting the acquired images to a neural network trained on training data in which information indicating at least a phenotype of a neurological disease is associated with an image obtained by imaging the cells of the neurological disease differentiated from the pluripotent stem cells, and
predicting an onset of the neurological disease of the subject based on the information indicating the phenotype output by the neural network in response to the acquired images input,
wherein:
the training data used for training the neural network is data in which age at the onset of the neurological disease is further associated with the image obtained by imaging the cells of the neurological disease,
the neural network outputs the age when the acquired images obtained by imaging the cells are input, and
the method further comprising predicting a time period until the onset of the neurological disease of the subject based on the age output by the neural network.
9. A computer-readable non-transitory storage medium storing a program causing a computer to execute instructions, the instructions including:
acquiring images obtained by imaging cells differentiated from pluripotent stem cells derived from a subject,
inputting the acquired images to a neural network trained on training data in which information indicating at least a phenotype of a neurological disease is associated with an image obtained by imaging the cells of the neurological disease differentiated from the pluripotent stem cells, and
predicting an onset of the neurological disease of the subject based on the information indicating the phenotype output by the neural network in response to the acquired images input,
wherein:
the training data used for training the neural network is data in which age at the onset of the neurological disease is further associated with the image obtained by imaging the cells of the neurological disease,
the neural network outputs the age when the acquired images obtained by imaging the cells are input, and
the instructions further including predicting a time period until the onset of the neurological disease of the subject based on the age output by the neural network.
10. An information processing device comprising:
a processor configured to:
acquire images obtained by imaging cells differentiated from pluripotent stem cells derived from a subject;
input the acquired images to a neural network trained on training data in which information indicating at least a phenotype of a neurological disease is associated with an image obtained by imaging cells of the neurological disease differentiated from the pluripotent stem cells; and
predict an onset of the neurological disease of the subject based on the information indicating the phenotype output by the neural network in response to the acquired images input,
wherein:
the training data used for training the neural network is data in which a symptomatic period of the neurological disease is further associated with the image obtained by imaging the cells of the neurological disease,
the neural network outputs the symptomatic period when the acquired images obtained by imaging the cells are input, and
the processor being further configured to predict a progression rate of the neurological disease that the subject develops based on the symptomatic period output by the neural network.
11. An information processing device comprising:
a processor configured to:
acquire images obtained by imaging cells differentiated from pluripotent stem cells derived from a subject;
input the acquired images to a neural network trained on training data in which information indicating at least a phenotype of a neurological disease is associated with an image obtained by imaging cells of the neurological disease differentiated from the pluripotent stem cells; and
predict an onset of the neurological disease of the subject based on the information indicating the phenotype output by the neural network in response to the acquired images input,
wherein:
the training data used for training the neural network further includes, in addition to the images obtained by imaging the cells of the neurological disease, data in which information indicating the phenotype of the neurological disease is associated with personal information indicating the sex and presence or absence of genetic polymorphism or a specific gene of the patient with the neurological disease,
the processor being further configured to:
acquire personal information on the sex and the presence or absence of genetic polymorphism or a specific gene of the subject,
input the acquired images and the acquired personal information to the neural network, and
predict the onset of the neurological disease of the subject based on the information indicating the phenotype output by the neural network in response to the acquired images and the acquired personal information input.
12. An information processing method performed by a computer, the method comprising:
acquiring images obtained by imaging cells differentiated from pluripotent stem cells derived from a subject,
inputting the acquired images to a neural network trained on training data in which information indicating at least a phenotype of a neurological disease is associated with an image obtained by imaging the cells of the neurological disease differentiated from the pluripotent stem cells, and
predicting an onset of the neurological disease of the subject based on the information indicating the phenotype output by the neural network in response to the acquired images input,
wherein:
the training data used for training the neural network is data in which a symptomatic period of the neurological disease is further associated with the image obtained by imaging the cells of the neurological disease,
the neural network outputs the symptomatic period when the acquired images obtained by imaging the cells are input, and
the method further comprising predicting a progression rate of the neurological disease that the subject develops based on the symptomatic period output by the neural network.
13. An information processing method performed by a computer, the method comprising:
acquiring images obtained by imaging cells differentiated from pluripotent stem cells derived from a subject,
inputting the acquired images to a neural network trained on training data in which information indicating at least a phenotype of a neurological disease is associated with an image obtained by imaging the cells of the neurological disease differentiated from the pluripotent stem cells, and
predicting an onset of the neurological disease of the subject based on the information indicating the phenotype output by the neural network in response to the acquired images input,
wherein:
the training data used for training the neural network further includes, in addition to the images obtained by imaging the cells of the neurological disease, data in which information indicating the phenotype of the neurological disease is associated with personal information indicating the sex and presence or absence of genetic polymorphism or a specific gene of the patient with the neurological disease,
the method further comprising:
acquiring personal information on the sex and the presence or absence of genetic polymorphism or a specific gene of the subject,
inputting the acquired images and the acquired personal information to the neural network, and
predicting the onset of the neurological disease of the subject based on the information indicating the phenotype output by the neural network in response to the acquired images and the acquired personal information input.
14. A computer-readable non-transitory storage medium storing a program causing a computer to execute instructions, the instructions including:
acquiring images obtained by imaging cells differentiated from pluripotent stem cells derived from a subject,
inputting the acquired images to a neural network trained on training data in which information indicating at least a phenotype of a neurological disease is associated with an image obtained by imaging the cells of the neurological disease differentiated from the pluripotent stem cells, and
predicting an onset of the neurological disease of the subject based on the information indicating the phenotype output by the neural network in response to the acquired images input,
wherein:
the training data used for training the neural network is data in which a symptomatic period of the neurological disease is further associated with the image obtained by imaging the cells of the neurological disease,
the neural network outputs the symptomatic period when the acquired images obtained by imaging the cells are input, and
the instructions further including predicting a progression rate of the neurological disease that the subject develops based on the symptomatic period output by the neural network.
15. A computer-readable non-transitory storage medium storing a program causing a computer to execute instructions, the instructions including:
acquiring images obtained by imaging cells differentiated from pluripotent stem cells derived from a subject,
inputting the acquired images to a neural network trained on training data in which information indicating at least a phenotype of a neurological disease is associated with an image obtained by imaging the cells of the neurological disease differentiated from the pluripotent stem cells, and
predicting an onset of the neurological disease of the subject based on the information indicating the phenotype output by the neural network in response to the acquired images input,
wherein:
the training data used for training the neural network further includes, in addition to the images obtained by imaging the cells of the neurological disease, data in which information indicating the phenotype of the neurological disease is associated with personal information indicating the sex and presence or absence of genetic polymorphism or a specific gene of the patient with the neurological disease,
the instructions further including:
acquiring personal information on the sex and the presence or absence of genetic polymorphism or a specific gene of the subject,
inputting the acquired images and the acquired personal information to the neural network, and
predicting the onset of the neurological disease of the subject based on the information indicating the phenotype output by the neural network in response to the acquired images and the acquired personal information input.