Every Cure is a nonprofit organization dedicated to unlocking the full potential of every existing medicine to treat every disease possible. Repurposing existing drugs is the fastest and most efficient way to treat diseases with the greatest return on investment for saving lives. However, systemic barriers impede repurposing, so patients suffer while potential treatments are not fully utilized. Every Cure overcomes these barriers to systematically identify and advance promising repurposing opportunities and save lives. Every Cure is taking a revolutionary and disruptive approach to overcome these systemic barriers by developing a comprehensive, open-source data engine to generate predictive efficacy scores for all 3,000 drugs against all 12,000 diseases and rapidly advance treatments to patients. In partnership with academia, industry, and government, Every Cure is integrating proprietary and public data into a comprehensive dataset, optimizing AI ranking algorithms, validating the most promising drug-disease matches, performing trials, and ensuring patient access to effective therapies.

Biotechnology

Health Care

Medical Devices

Therapeutics

Every Cure

Every Cure's headquarters in Philadelphia, United States

This department focuses on analyzing and interpreting complex data to inform strategic decisions and drive innovations.

Data Science

This department oversees the strategic and operational functions to enhance efficiency across various domains.

Operations Management

This department provides guidance and support to various stakeholders and volunteers.

Advisory Services

This department drives the strategic vision and overall direction of the organization.

Executive Leadership

This department focuses on developing and implementing machine learning models and infrastructure to enhance data-driven decision-making.

Machine Learning

This department focuses on conducting advanced research to support medical advancements and innovations.

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Other teams

Operations Management

Advisory Services

Executive Leadership

Machine Learning

Medical Research