WEBINAR: Precision EEG-Guided PBM: Leveraging AI for Personalized Neuroregulation

WEBINAR: Precision EEG-Guided PBM: Leveraging AI for Personalized Neuroregulation

FREE WEBINAR: Precision EEG-Guided PBM: Leveraging AI for Personalized Neuroregulation presented by Lew Lim, PhD, MBA; Reza Zomorrodi, PhD; and Marzieh Zare, PhD

Friday, June 26, 2026 from 12:00noon ET until 1pm ET

CLICK HERE to find out more details and to register

Description: 

This session presents a practical and cutting-edge framework for the integration of advanced signal processing and machine learning technologies to optimize photobiomodulation (PBM) in neuroregulatory applications. As the field advances toward precision medicine, the ability to individualize therapeutic protocols based on real-time neurophysiological data represents a significant leap forward in clinical capability.

The session will first address advanced EEG assessment methodologies, detailing how machine learning algorithms can be applied to extract meaningful features and classify complex patterns from raw EEG data, enabling the establishment of robust, individualized neurological baselines. From these profiles, a systematic methodology for personalization will be outlined, translating each patient’s unique EEG signature into a tailored stimulation protocol that reflects their specific neurophysiological state.

To ground these concepts in clinical reality, practical examples utilizing the Vielight Neuro Pro will be presented, illustrating how this science is being applied in real-world settings today. The session will conclude with a forward-looking exploration of closed-loop adaptive PBM, a real-time, feedback-driven approach that represents the next frontier in neuroregulation.

This modality is currently in active beta testing, with a broader clinical release anticipated within approximately three months, positioning attendees at the forefront of an emerging paradigm in personalized neuromodulation therapy.

If you cannot attend the live webinar, all registrants will receive a recording of the webinar.

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