A Novel Way To Value IP
In October, an NIH team, led by Ian Hutchins, published their exciting new work, “Predicting Translational Progress in Biomedical Research.” The team built a machine learning system that detects whether a paper and its underlying research are likely to be clinically successful, i.e., lead to commercial products for human use. Specifically, the team created an AI-based, big-data model that evaluates research papers based on multiple metrics to determine if that particular study or innovation […]