Optimizing Clinical Assessments in Parkinson's Disease Through the Use of Wearable Sensors and Data Driven Modeling. - Ritesh A. Ramdhani; Anahita Khojandi; Oleg Shylo; Brian H. Kopell (Frontiers Comput. Neurosci., 2018)

Optimizing Individualized Treatment Planning for Parkinson's Disease Using Deep Reinforcement Learning. - Jeremy Watts; Anahita Khojandi; Rama K. Vasudevan; Ritesh A. Ramdhani (EMBC, 2020)

Improving Medication Regimen Recommendation for Parkinson's Disease Using Sensor Technology. - Jeremy Watts; Anahita Khojandi; Rama K. Vasudevan; Fatta B. Nahab; Ritesh A. Ramdhani (Sensors, 2021)

Optimizing Patient-Specific Medication Regimen Policies Using Wearable Sensors in Parkinson's Disease. - Matt Baucum; Anahita Khojandi; Rama K. Vasudevan; Ritesh A. Ramdhani (Manag. Sci., 2023)

Differential Responses to Low- and High-Frequency Subthalamic Nucleus Deep Brain Stimulation on Sensor-Measured Components of Bradykinesia in Parkinson's Disease. - Akash Mishra; Vikram Bajaj; Toni Fitzpatrick; Jeremy Watts; Anahita Khojandi; Ritesh A. Ramdhani (Sensors, 2024)