Digital twin computer simulation using synchronization of body organ for determining compatibility
Generating, using a computer, a digital twin model or simulation for organ transplant or organ repairs where organ data of an organ for a patient is received at a computer. Organ parts are identified based on organ data, and the organ parts include a retained portion of the organ and a replacement portion of the organ. A digital model is generated as a digital twin simulations of the organ parts based on the received organ data. Parameters for the organ parts is determined, which include dimensions of the retained portion of the organ and dimensions of the replacement portion of the organ.
1 . A computer-implemented method for generating a digital twin model or computer simulation of an organ for organ transplant or organ repairs, comprising:
receiving, at a computer, organ data of an organ for a patient, the organ data describing both healthy tissue and diseased tissue of the organ of the patient;
identifying, using the computer, organ parts of the organ based on the organ data, the organ parts including a retained portion of the organ and a replacement portion of the organ, wherein the retained portion of the organ is a healthy portion of the organ having the healthy tissue and the replacement portion of the organ is an unhealthy portion of the organ having the diseased tissue;
generating models, using the computer, as digital twin computer simulations of the organ parts based on the received organ data and the identification of the organ parts, the models including a first digital twin simulation of the replacement portion of the organ and a second digital twin simulation of the retained portion of the organ;
the generating of the models includes determining parameters for the organ parts, the parameters including dimensions of the retained portion of the organ and dimensions of the replacement portion of the organ; and
aggregating, using the computer, the retained portion and the replacement portion, into a combined digital twin model of the organ.
2 . The method of claim 1 , further comprising:
selecting a final model for each of the organ parts; and
combining the final models of the organ parts into a final organ model of the organ including the replacement portion.
3 . The method of claim 1 , further comprising:
iteratively training the models based on the organ data and the parameters to generate updated models; and
determining a best model for each of the portions of the organ.
4 . The method of claim 1 , further comprising:
iteratively training the models based on the organ data and the parameters to generate updated models;
determining a best model for each of the portions of the organ;
selecting a final model of the organ parts;
combining the final model of the organ parts into a final organ model of the organ including the replacement portion; and
evaluating the final model to determine when the combination of the organ parts meets threshold parameters.
5 . The method of claim 1 , further comprising:
receiving data, at the computer, from devices and sensors connected to the patient.
6 . The method of claim 1 , further comprising:
receiving data, at the computer, from Internet of Things (IoT) devices with respect to the patient, and receiving data from sensors connected to the patient.
7 . The method of claim 1 , further comprising:
assigning, using the computer, a unique number to the model, wherein the unique number is a barcode.
8 . The method of claim 1 , further comprising:
receiving data, at the computer, from Internet of Things (IoT) devices with respect to the patient, and receiving data from sensors connected to the patient; and
updating the models based on the received data from the IoT devices and the sensors to generate a near real time simulation using the updated models.
9 . The method of claim 8 , further comprising:
identifying, using the computer, the unhealthy portion of the organ using the updated models and other medical data received by the computer, wherein the other
medical data includes medical diagnostic information and medical standards related to the organ.
10 . The method of claim 9 , further comprising:
determining a part of the organ for replacement based on the identification of the unhealthy portion of the organ.
11 . The method of claim 1 , further comprising:
printing, using a 3-dimensional bioprinting system, an organ part based on the model.
12 . A computer program product for generating a digital twin model or computer simulation of an organ for organ transplant or organ repairs, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform functions, by the computer, comprising the functions to:
receive, at a computer, organ data of an organ for a patient, the organ data describing both healthy tissue and diseased tissue of the organ of the patient;
identify, using the computer, organ parts of the organ based on the organ data, the organ parts including a retained portion of the organ and a replacement portion of the organ, wherein the retained portion of the organ is a healthy portion of the organ having the healthy tissue and the replacement portion of the organ is an unhealthy portion of the organ having the diseased tissue;
generate models, using the computer, as digital twin computer simulations of the organ parts based on the received organ data and the identification of the organ parts, the models including a first digital twin simulation of the replacement portion of the organ and a second digital twin simulation of the retained portion of the organ;
the generation of the models includes determine parameters for the organ parts, the parameters including dimensions of the retained portion of the organ and dimensions of the replacement portion of the organ; and
aggregate, using the computer, the retained portion and the replacement portion, into a combined digital twin model of the organ.