OPA recently developed and validated an AI probe that scans more than 35 million publications and detects topics predicted to produce a transformative breakthrough in biomedicine within the next two to twelve years (patent pending).
How does our prediction of breakthroughs change over time?
Breakthroughs are predicted using a Recursive MultiLevel Clustering algorithm (rMLC) that sums the number of new papers in each topic and determines which topics have higher citation rates.
In the predicted breakthrough videos, you see representations of the topic from the earliest time research began to the realization of the breakthrough, and clinical impact of the topic. The predicted breakthrough shown on the landing page aligns with a health observance for that month. Learn more about how to interpret the landing page video. In addition, there are several other historical predicted breakthroughs which are detailed in the FAQs.