Cipherome, Inc.


Cipherome is a healthcare data science company dedicated to advancing precision medicine through innovative data analysis platforms and research. Their mission is to empower researchers with tools that accelerate healthcare research, foster collaboration, and drive innovation to create a healthier world.

Industries

biopharma
biotechnology
health-care

Nr. of Employees

small (1-50)

Cipherome, Inc.

San Jose, California, USA; Seoul, South Korea


Patents

Method for selecting anticancer agent based on protein damage information of individual to prevent anticancer agent side effects

US-11195594-B2

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Products

End-to-end healthcare data analysis platform

A platform that consolidates ETL, cohort selection, exploratory analysis, statistical testing, visualization, and machine-learning workflows into a single, no-code interface for healthcare researchers.


Services

Hosted delivery of the data analysis platform as a managed service for remote access and use.

Packaged workstation or server deployment that runs without network connectivity to keep data and analyses within a customer's secure environment.

Configurations and licenses targeted to universities and educational programs for teaching healthcare data analysis, statistics, and model training.

Guided demos, interactive Q&A sessions, and support channels to demonstrate platform capabilities and assist onboarding.

Expertise Areas

  • Healthcare data engineering and ETL
  • Biobank integration and multi-cohort validation
  • Clinical research data analysis and EDC quality monitoring
  • Statistical analysis and report generation
  • Show More (4)

Key Technologies

  • Extract-Transform-Load (ETL) pipelines
  • OMOP Common Data Model (CDM) integration
  • Zero-code graphical user interface
  • Machine learning / predictive modeling
  • Show More (4)

News & Updates

Participation in ML4H 2023 Demo Track in New Orleans, LA, Dec 2023.

Presentation on predicting development of COPD and risk factor analysis at IEEE EMBC, Sydney, Australia, Jul 2023.

Demo and poster at IEEE International Conference on Distributed Computing Systems, Hong Kong, Jul 2023.

Participation in COMPASS Hackathon at Kangwon Regional Innovation Platform, Korea, Jan 2024.

Analysis of ticagrelor and prasugrel correlation with CYP2C19 genetic variants, Mar 2023.

Development of models using prescription records and diagnosis codes, Aug 2022.

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