Onc.ai, Inc.

Rita Ciaravino

Petr Jordan

Salmaan Ahmed

A method includes uniquely training, using a processing device, one or more deep learning models using one or more sets of training data associated with a plurality of patients to predict immunotherapy treatment responses indicative of a patient survival rate based on a change in volume of a lesion of a patient. The method includes providing a single pre-treatment image of a target lesion of a target patient to the one or more deep learning models that are uniquely trained using the sets of training data to generate the immunotherapy treatment responses. The method includes combining the immunotherapy treatment responses of the one or more deep learning models that are uniquely trained using the sets of training data to generate a predicted treatment response score.

Predicting response to immunotherapy treatment using deep learning analysis of imaging and clinical data

A method comprises providing a pre-treatment image of a target subject to at least one deep learning model uniquely trained to predict immunotherapy treatment responses. The method further comprises generating, by a processing device, a predicted treatment response score to a treatment based on the single pre-treatment image and the at least one deep learning model. The method further comprises providing, based on the predicted treatment response score, a recommended treatment plan.

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Grosse Pointe Farms, MI, United States of America

Rita Ciaravino