ClarusC64/clinical-quad-ddi-renal-clearance-inhibition-exposure-accumulation-toxicity-v0.1
What this repo does This dataset models acute toxicity risk driven by drug–drug interaction and renal clearance inhibition. It predicts when the interaction between impaired renal clearance, CYP inhibition, dose density, and exposure accumulation produces a toxicity event. Core quad renal_clearance_index cyp_inhibition_index dose_density_index exposure_accumulation_index Prediction target label_toxicity_event Row structure Each row represents a patient pharmacokinetic state snapshot during… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-ddi-renal-clearance-inhibition-exposure-accumulation-toxicity-v0.1.
What this repo does
This dataset models acute toxicity risk driven by drug–drug interaction and renal clearance inhibition. It predicts when the interaction between impaired renal clearance, CYP inhibition, dose density, and exposure accumulation produces a toxicity event.
Core quad
renalclearanceindex cypinhibitionindex dosedensityindex exposureaccumulationindex
Prediction target
labeltoxicityevent
Row structure
Each row represents a patient pharmacokinetic state snapshot during active therapy. The model predicts whether the coupled clearance and exposure conditions lead to a toxicity event within the next monitoring window.
Files
data/train.csv data/tester.csv scorer.py
Evaluation
Run predictions on tester.csv Add column prediction Score with scorer.py
License
MIT
Structural Note
This dataset identifies a measurable coupling pattern associated with systemic instability. The sample demonstrates the geometry. Production-scale data determines operational exposure.
What Production Deployment Enables
• 50K–1M row datasets calibrated to real operational patterns • Pair, triadic, and quad coupling analysis • Real-time coherence monitoring • Early warning before cascade events • Collapse surface and recovery window modeling • Integration and implementation support
Small samples reveal structure. Scale reveals consequence.
Enterprise & Research Collaboration
Clarus develops production-scale coherence monitoring infrastructure for critical systems across healthcare, finance, infrastructure, and regulatory domains.
For dataset expansion, custom coherence scorers, or deployment architecture: team@clarusinvariant.com
Instability is detectable. Governance determines whether it propagates.