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KAIST Pairs AI Behavior Score With Optogenetic Therapy in Preclinical Parkinson’s Study

The framework showed Parkinson’s-specific signals in mice, remaining preclinical.

Overview

  • Researchers created an AI-predicted Parkinson’s score by analyzing more than 340 3D pose features, with scores separating from controls within two weeks of disease induction.
  • Testing the metric in an ALS mouse model yielded low scores despite motor decline, indicating the measure tracks Parkinson’s-specific behaviors.
  • Light-controlled optoRET activation of neurotrophic signaling improved gait and reduced tremor in the Parkinson’s model.
  • An alternate-day light schedule produced the strongest treatment effects and showed a tendency to protect dopamine-producing neurons.
  • The study was published August 21 in Nature Communications, and KAIST detailed the integrated preclinical pipeline in a September 22 announcement.