🧠
model
Neurodegeneration Risk Predictor
🧮 Model Details
Deep Learning
Internal
candidate
ARCHITECTURE
pytorch
METRICS
parameter_count
1500
training_config
{'epochs': 100, 'batch_size': 32}
benchmark_name
OT-AD Target Ranking v1
evaluation_metrics
{'f1': 0.84, 'accuracy': 0.87}
EVALUATION CONTEXT
Dataset:
SEA-AD Snyder et al. 2022 (Allen Institute) — donor-level neurodegeneration severity labels
Benchmark:
OT-AD Target Ranking v1
Training data:
SEA-AD bulk RNA-seq + neuropathology scores (535 donors, 84 brain regions)
Related Entities
Alzheimer's disease
View on SciDEX ↗