Codice QR

A deep representation learning model to predict response to vagus nerve stimulation

Abstract Implantable neurotechnologies are increasingly used to reduce seizure burden in pediatric epilepsy. Vagus nerve stimulation (VNS), the most common option, is effective for only half of patients, with no means to predict outcome prior to surgery. As a result, many children undergo invasive a...

Descrizione completa

Salvato in:
Autori principali: Hrishikesh Suresh, Karim Mithani, Vicki Li, Timur H. Latypov, Nebras M. Warsi, Simeon M. Wong, Lauren Erdman, Jaeyoung Kang, Jurgen Germann, Flavia Venetucci Gouveia, Sebastian C. Coleman, Alexandre Berger, Vann Chau, Shelly Weiss, Carolina Gorodetsky, Elizabeth Donner, Alexander G. Weil, Jignesh Tailor, Taylor J. Abel, Madison Remick, Emefa Akwayena, Dewi Schrader, Robert J. Bollo, Matthew D. Smyth, Diana Aum, Sean M. Lew, Shelly Wang, Toba N. Niazi, Aria Fallah, Jeffrey S. Raskin, Howard L. Weiner, Nisha Gadgil, Gregory W. Albert, Aristides Hadjinicolaou, Philippe Major, Farbod Niazi, Guillaume Theaud, Sami Obaid, Elysa Widjaja, Birgit Ertl-Wagner, Logi Vidarsson, Margot J. Taylor, Alexandre Boutet, James T. Rutka, Melissa A. LoPresti, Puneet Jain, George M. Ibrahim
Natura: Artigo
Lingua:Inglês
Pubblicazione: Nature Portfolio 2026-04-01
Serie:Nature Communications
Accesso online:https://doi.org/10.1038/s41467-026-71555-0
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi