This is works in attempt to develop novel, state-of-the-art models for decoding EEG MI data from patient datasets. Specifically using GAT, highlighting their potential advantages.

The official repository for NOVA, a deep learning framework designed for high-throughput organellar phenotyping of perturbed human neurons using AI-driven methodologies

루게릭병 환우의 목소리 프로젝트

Hyb-DysNet: hybrid feature fusion (eGeMAPSv02 + Wav2Vec2-XLS-R + Librosa) and soft-voting ensemble for dysarthria severity classification in ALS patients.

yer a wizard, Harry

Analysis of the gut microbiome of Amyotrophic Lateral Sclerosis (ALS) patients using the DADA2 workflow

ALS/FTD Research Dashboard

A meaningful prediction of functional decline in amyotrophic lateral sclerosis based on multi-event survival analysis. PLOS One, 2025.

Discover groundbreaking advancements in ALS drug discovery.

A novel insight into neurological disorders through HDAC6 protein-protein interactions

A novel insight into neurological disorders through HDAC6 protein-protein interactions

Reproducibility code for an in-silico ALS biomarker-discovery study: a LightGBM + SHAP 25-gene CNS transcriptomic panel (GSE153960) with multi-cohort zero-shot validation, single-nucleus validation, and druggable-target annotation.

Using Mendelian Randomization to decipher the prodrome of Amyotrophic Lateral Sclerosis and Parkinson's Disease

Bayesian ALS Tracking and Phase Evaluation