Co-evolution of machine learning and digital technologies to improve monitoring of Parkinson’s disease motor symptoms

por Chandrabhatla, Anirudha S., Pomeraniec, I. Jonathan, Ksendzovsky, Alexander
Publicado 2022

Landscape and future directions of machine learning applications in closed-loop brain stimulation

por Chandrabhatla, Anirudha S., Pomeraniec, I. Jonathan, Horgan, Taylor M., Wat, Elizabeth K., Ksendzovsky, Alexander
Publicado 2023

Artificial Intelligence and Machine Learning in the Diagnosis and Management of Stroke: A Narrative Review of United States Food and Drug Administration-Approved Technologies

por Chandrabhatla, Anirudha S., Kuo, Elyse A., Sokolowski, Jennifer D., Kellogg, Ryan T., Park, Min, Mastorakos, Panagiotis
Publicado 2023

Clinical Applications of Machine Learning in the Management of Intraocular Cancers: A Narrative Review

por Chandrabhatla, Anirudha S., Horgan, Taylor M., Cotton, Caroline C., Ambati, Naveen K., Shildkrot, Yevgeniy Eugene
Publicado 2023

Network model‐based screen for FDA‐approved drugs affecting cardiac fibrosis

por Zeigler, Angela C., Chandrabhatla, Anirudha S., Christiansen, Steven L., Nelson, Anders R., Holmes, Jeffrey W., Saucerman, Jeffrey J.
Publicado 2021