How Every Cure Shares AI-Generated Drug Repurposing Data With: Dr. David Fajgenbaum
Dr. David Fajgenbaum explains how Every Cure is democratizing drug discovery by releasing an open-source database of AI-generated drug-disease scores. Using advanced knowledge graphs, the platform evaluates all 4,000 approved drugs against every known disease, creating over 75 million rankings. While Every Cure uses these scores internally to prioritize research and clinical trials, they will soon make the entire dataset publicly available. This resource will allow scientists, clinicians, and even patients to identify promising drug candidates for conditions ranging from Parkinson’s to rare diseases, accelerating global collaboration in medical innovation.
Episode Contents:
About the Guest
Dr. David Fajgenbaum is Co-founder of Every Cure, dedicated to accelerating drug repurposing through open data and AI. Learn more at: https://en.wikipedia.org/wiki/David_Fajgenbaum
Key Takeaways
- Every Cure uses AI-powered knowledge graphs to score drugs for all diseases.
- An open database will share 75M drug-disease scores worldwide.
- Clinicians and researchers can prioritize promising treatments instantly.
Transcript Summary
How does an open-source drug discovery platform empower clinicians?
By providing public access to 75 million AI-generated drug-disease scores, enabling rapid identification of repurposing candidates.
How are these scores created?
Knowledge graphs process all approved drugs against all known diseases, ranking them by potential effectiveness.
What’s the impact?
Researchers, physicians, and patients can explore ranked lists to inform lab work, clinical trials, or advocacy.
More Topics
- AI in Patient Care
- AI in the Healthcare Industry
- AI and Medical Innovation
- Healthcare Ethics and Policy
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About the Series
AI and Healthcare—with Mika Newton and Dr. Sanjay Juneja is an engaging interview series featuring world-renowned leaders shaping the intersection of artificial intelligence and medicine.
Dr. Sanjay Juneja, a hematologist and medical oncologist widely recognized as “TheOncDoc,” is a trailblazer in healthcare innovation and a rising authority on the transformative role of AI in medicine.
Mika Newton is an expert in healthcare data management, with a focus on data completeness and universality. Mika is on the editorial board of AI in Precision Oncology and is no stranger to bringing transformative technologies to market and fostering innovation.