JADBio — No-Code AutoML for Biomarker Discovery
Screenshot of JADBio

JADBio

Discover what JADBio is and how its no-code AutoML platform accelerates biomarker discovery across genomics, transcriptomics, proteomics, and metabolomics

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What is JADBio?

JADBio is a no-code AutoML platform that automates the machine learning process for biomarker discovery. It is designed to make complex research simpler for scientists and researchers without requiring coding skills.

The platform handles multi-omics data — including Genomics, Transcriptomics, Proteomics, and Metabolomics — enabling thorough analysis for a range of research needs. It focuses on precision health, with solutions for cancer, metabolic issues, chronic diseases, and mental health. JADBio is also available on the AWS Marketplace, making it easier to access and integrate into existing workflows.

Who created JADBio?

JADBio was founded by a group aiming to change how biomarkers are discovered in precision health. They built an accessible AutoML platform that lets researchers find biomarkers faster without coding skills, working with omics data such as genomics and transcriptomics to speed up insights and drug discovery.

What is JADBio used for?

  • Early biomarker discovery
  • Identifying disease subtypes
  • Repurposing existing drugs
  • Monitoring clinical trials

Who is JADBio for?

JADBio is aimed at researchers and scientists working in:

  • Oncology
  • Immune Systems
  • Chronic Diseases
  • Infectious Diseases
  • Mental Health

How does JADBio work?

  1. Sign Up: Create an account on the JADBio website.
  2. Upload Data: Upload your research data directly to the platform for analysis.
  3. Data Wrangling: Define the metrics you want to optimize — selecting specific biomarkers, defining data clusters, and adjusting analysis tuning.
  4. Data Analysis: Choose the analysis type: Classification (binary or multiclass), Regression, or Survival Analysis.
  5. Review Results: Examine performance metrics, ROC curves, Precision-Recall curves, optimized classification thresholds, confusion matrices, feature interpretation and importance, risk stratification, supervised dimensionality reduction, out-of-sample predicted probabilities, and comprehensive analysis reports.
  6. Model Application: Explore external validation, use online calculators based on your models, and download the models themselves.
  7. Collaborate: Invite colleagues to join your projects and share results with them.
  8. Advanced Features: JADBio also offers advanced capabilities, including use of its API.

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