
How AI Analysis of Peer Review Outcomes Could Reshape Genomic Medicine
Scientific progress is often slowed down by biases in the publishing system. A new study analyses over 20,000 machine learning submissions to understand how a researcher's resources affect their success. This analytical approach might soon help us audit peer review outcomes and spot brilliant, underfunded ideas in resource-intensive fields like genomic medicine.















