Research that starts instantly, no IRB

We answer instantly, grounded in real-world data.

Coverage across every university hospital in Korea

  • 서울아산병원
  • 서울대학교병원
  • 삼성서울병원
  • 연세대학교 세브란스병원
  • 가톨릭대학교 서울성모병원
  • 분당서울대학교병원
  • 강남세브란스병원
  • 강북삼성병원
  • 아주대학교병원
  • 고려대학교 안암병원
  • 고려대학교 구로병원
  • 이화여자대학교 목동병원
  • 경희대학교병원
  • 한양대학교병원
  • 영남대학교병원
  • 한림대학교 성심병원
  • 충남대학교병원
  • 계명대학교 동산병원
  • 부산대학교병원
  • 가천대학교 길병원
  • 중앙대학교병원
  • 인하대학교병원
  • 국립암센터
  • 울산대학교병원
  • 경북대학교병원

Data built on patient consent

Patients provided these records themselves, hoping they would help someone else's care.

What the data is

  • Complete medical records

    Pseudonymized records from every hospital a patient attended, including lab results, procedures, and the clinician's own notes

  • Imaging records

    Enterprise only

    MRI · CT and more

  • Self-reported records

    Enterprise only

    Medication · symptoms · PROMs

Start analyzing now

How do liver enzymes differ across cancer stages in Keytruda patients?

Start with an idea

No hypothesis needed. Just ask.

Validation in the same flow

Test statistical significance against real-world data.

Use it as evidence

It can be used for regulatory work and paper submissions too.

Go deeper with your analysis

10.1 years of longitudinal data per patient, on average. Go deep, from the start of treatment to the end.

10.1 years per patient on average
Hospital A
Hospital B
Hospital C
TransferTransfer

2 hospitals per patient on average

Data from 2,000 patients

Need analysis at a larger scale? Contact us.