JADBio provides an automated machine learning platform designed to accelerate drug discovery by automating the discovery of biomarkers and interpreting their roles based on research needs. The platform supports multi-omics data analysis.

JADBio

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Chief Business Officer

Aris Karanikas

Kenneth Graabek Johansen

Chief Operating Officer

Pavlos Charonyktakis

Chief Technology Officer and Co-Founder

Sales & Business Development

Maria Xilouri

Project Management Officer

Ioannis Tsamardinos

Mikkel Nygaard Ravn

Vice President of Engineering

Pharmaceutical Companies (Top 10K)

Machine Learning Seed Stage Companies With Less Than $1B in Revenue

Pharmaceutical Startups

Big Data Companies With Fewer Than 100 Employees (Top 10K)

Make your life easier, automate the machine learning process. JADBio automatically searches for the best algorithms, runs the preprocessing, selects the right features, tunes for hyper-parameters, and produces the final model and predictive performance, with lots of visualizations, graphs, and reports. JADBio can credibly process small sample sizes and large feature sets, or produce multiple feature subsets that lead to equally predictive models for knowledge discovery.

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An automated machine learning platform designed for life scientists to build and deploy predictive models without the need for coding or machine learning expertise.

An API that allows advanced users to integrate JADBio’s AutoML capabilities into their own applications or workflows, including image analysis and batch processing.

A Python client available on Github, PyPI, and Anaconda that enables advanced users to leverage JADBio’s AutoML capabilities for automation and integration into other applications.

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