Integrative Deep Learning of Genomic and Clinical Data for Predicting Treatment Response in Newly Diagnosed Epilepsy

Integrating genomic data with clinical features enhances the ability of deep learning models in predicting ASM response in newly diagnosed epilepsy. This approach may support personalized treatment selection and improve clinical outcomes.

Authors

Institutions

Publication Details

Journal
Neurology
Published
2025-10-29
DOI
https://doi.org/10.1212/wnl.0000000000214315
Citations
3
Primary Topic
Epilepsy research and treatment
Type
article
Field-Weighted Citation Impact
4.41
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrative Deep Learning of Genomic and Clinical Data for Predicting Treatment Response in Newly Diagnosed Epilepsy

Zongyuan Ge, Sarah Barnard, Wei Feng, Terence John O'Brien et al.
3 citations
Neurology
Epilepsy research and treatment
4.41
article

Integrative Deep Learning of Genomic and Clinical Data for Predicting Treatment Response in Newly Diagnosed Epilepsy

Zongyuan Ge, Sarah Barnard, Wei Feng, Terence John O'Brien, Jacqueline A. French, Daniel Thom, Emma Foster, Alison Anderson, Samuel F. Berkovic, Rosemary Burgess, Susannah T. Bellows, Patrick Kwan, Duong Nhu, Robert Zeibich, Zhibin Chen, Mark Howard
article en
3 citations

Abstract

Integrating genomic data with clinical features enhances the ability of deep learning models in predicting ASM response in newly diagnosed epilepsy. This approach may support personalized treatment selection and improve clinical outcomes.

NeurologyVol. 105(10)
The Royal Melbourne Hospital (AU), Monash Medical Centre (AU), NYU Langone Health (US), Monash Health (AU), Epilepsy Foundation (AU), Alfred Health (AU), Austin Health (AU), Monash University (AU), Monash Institute of Medical Research (AU)
Openalex Percentile: Top 5%
Epilepsy research and treatment
4.41
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Integrative Deep Learning of Genomic and Clinical Data for Predicting Treatment Response in Newly Diagnosed Epilepsy — Zongyuan Ge, Sarah Barnard, et al. · Neurology (2025) | TGRS Research Map | TGRS