Method and apparatus utilizing image-based modeling in clinical trials and healthcare

A device, comprising:

• a processing system including a processor;
• and
• a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising:
• obtaining a group of pre-treatment images for a group of candidates for a clinical trial, the group of pre-treatment images capturing at least an organ that is to be subject to treatment for a disease in the clinical trial, the group of pre-treatment images being captured prior to the treatment;
• analyzing the group of pre-treatment images according to an imaging model that is a machine-learning model;
• predicting, according to the analyzing of the group of pre-treatment images, one or more clinical variables for the group of pre-treatment images resulting in predicted variables;
• generating, based on the predicted variables, digital twins for the group of candidates;
• generating a graphical user interface;
• providing equipment of an entity managing the clinical trial with access to the graphical user interface;
• obtaining images for the group of candidates participating in the clinical trial resulting in a group of on-treatment images, the group of on-treatment images being associated with a time period of the treatment;
• analyzing the group of on-treatment images according to the imaging model;
• predicting, based on the analyzing of the group of on-treatment images, the one or more clinical variables for the group of on-treatment images resulting in predicted on-treatment variables;
• generating event estimation curves based on the predicted on-treatment variables for an investigational trial arm and a control trial arm of the clinical trial, wherein the investigational trial arm includes the group of candidates and the control trial arm includes the digital twins;
• and
• presenting the event estimation curves in the graphical user interface.

A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, the operations comprising:

• obtaining a group of pre-treatment images for a group of candidates for a clinical trial, the group of pre-treatment images capturing at least an organ that is to be subject to treatment for a disease in the clinical trial, the group of pre-treatment images being captured prior to the treatment;
• analyzing the group of pre-treatment images according to an imaging model that is a machine learning model;
• predicting, according to the analyzing of the group of pre-treatment images, one or more clinical variables for the group of pre-treatment images resulting in predicted variables;
• randomizing, based at least on the predicted variables, each candidate of the group of candidates to one of an investigational trial arm or a control trial arm of the clinical trial;
• generating a graphical user interface;
• providing equipment of an entity managing the clinical trial with access to the graphical user interface;
• obtaining images for the group of candidates participating in the clinical trial resulting in a group of on-treatment images, the group of on-treatment images being associated with a time period of the treatment;
• analyzing the group of on-treatment images according to the imaging model;
• predicting, based on the analyzing of the group of on-treatment images, the one or more clinical variables for the group of on-treatment images resulting in predicted on-treatment variables;
• generating event estimation curves based on the predicted on-treatment variables for the investigational trial arm and the control trial arm of the clinical trial;
• and
• presenting the event estimation curves in the graphical user interface.