Methods and systems for predicting treatment outcomes, patient selection and personalized therapy using patient response properties to sensory stimulation

A method of predicting a therapeutic benefit to a subject from a non-invasive sensory stimulus, the method comprising:

• (a) delivering a gamma oscillation inducing non-invasive sensory stimulus to the subject, wherein the gamma oscillation inducing non-invasive sensory stimulus comprises an auditory stimulus and a visual stimulus;
• (b) measuring a response from the subject;
• and
• (c) predicting, using a statistical algorithm, a machine learning algorithm, or a combination thereof, the therapeutic benefit to the subject, wherein the predicting is based at least partially on the response measured in (b), and wherein the therapeutic benefit comprises a change in a rate of neurodegeneration, a change in a rate of aging, a change in cognition, and a change in physical function of the subject, or any combination thereof;
• (d) responsive to the predicting, providing an additional oscillation inducing non-invasive sensory stimulus to the subject.