Real-time blood glucose level prediction system with machine learning and clinical validation.
End-to-end computational platform for pharmaceutical-grade cancer biomarker discovery. Integrates multi-omics data, machine learning, and clinical validation frameworks for precision oncology applications.
Medical AI validation toolkit for survival analysis and model calibration. Features Kaplan-Meier, Cox PH, and calibration metrics (ECE, Brier) with synthetic cohort generation and TCGA external validation. Designed for clinical ML reproducibility.
Awesome list of frameworks, standards, and methods for evaluating health AI systems — from study design to post-deployment monitoring
A physics-driven electronic lifeform: 96-page monograph deriving cognition, emotion, vascular physiology, and pathology from Γ = (Z₂−Z₁)/(Z₂+Z₁). Zero fitted parameters.
FHIR FactGuard: Zero-Trust clinical safety layer for AI agents. Validates medication claims against FHIR patient records + RxNorm. Built for Agents Assemble Hackathon 2026.
A proposed framework for validating transcription, in particular for the radiation therapy domain
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