현재 wavena 사이트는 자바스크립트가 필요합니다.

브라우저 설정에서 자바스크립트를 활성화 해주세요.

Technology

Continuous Estimates and 95% Confidence Intervals for 35 Biomarkers, Simultaneously

banner image

Proprietary AI Architecture

A 1D Swin Transformer foundation network built on hierarchical self-attention.
Rather than a single classifier, it uses Multi-Output Distributional Regression (Student-t) to simultaneously output continuous estimates and 95% confidence intervals for 35 biomarkers

Proven Data Moat

20 years of data from Seoul National University Hospital (SNUH), Seoul National University Bundang Hospital (SNUBH), and the Healthcare System Gangnam Center (SNUH-HSGC), combined with the US multi-ethnic critical care cohort (MIMIC-IV) — an exclusive dataset of 3,784,948 precision-matched ECG-Lab pairs

image

Clinical Performance

  • Creatinine

    0.000
  • NT-proBNP

    0.000
  • Hyperkalaemia

    0.000
  • Anemia

    0.000
  • CRP

    0.000

aUROC

image

Patent Moat

2 domestic patent applications filed (No. 10-2026-0013451, No. 10-2026-0012502)
1 international PCT patent application filed (PCT/KR2026/007494)
Building an exclusive rights barrier for "Simultaneous Multi-Biomarker Inference from a Single ECG Waveform and Two-Track Central Control"