
1305-AI-Driven Subtyping from CNS Tumor Histology
The paper introduces Hetairos, a pioneering artificial intelligence algorithm designed to identify 102 different types of central nervous system tumors using standard histopathology slides. While traditional DNA methylation profiling provides high diagnostic accuracy, it is often hindered by high costs, long wait times, and a need for significant tissue samples. Hetairos addresses these challenges by analyzing digital images of common H&E-stained sections, delivering results in only 12 minutes compared to the typical two-week molecular testing period. Developed using a massive dataset of…
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