Predictive Oncology ovarian cancer ML study results positive; to be presented at ASCO 2024

Axe Compute Inc.

Retrospective study with UPMC Magee-Womens Hospital used 160 multi-omic ML models to predict ovarian cancer survival.
Seven models achieved high accuracy at two-year threshold; 13 at five-year, outperforming clinical data alone.
Analysis used data from 2010-2016 including WES, WTS, drug response, and digital pathology profiles.
Top performing models identified different drivers for short- vs long-term survival, enabling future clinical decision tools.
Results presented at ASCO Annual Meeting in Chicago, June 3, 2024.

This headline and bullets were generated automatically by deepseek-v4-flash:cloud@v2 from the public filing. Read the source on SEC.gov before relying on any specific claim. Not investment advice. See methodology for how this pipeline works.