This week at #AACR25, we were proud to present our research and highlight our collaboration with Dr. Carl Gay and Simon Heeke of MD Anderson Cancer Center! Abstract #1101 – "A Novel Machine Learning Classifier for SCLC Transcriptional Subtypes": In this study, BostonGene applied gradient-boosting machine learning models to refine small cell lung cancer (SCLC) subtypes originally developed by Gay et al. The model demonstrated strong validation performance, underscoring its potential clinical impact. Learn more: https://lnkd.in/ejaQ_VWq
Ashek Elahi Noor
1mo
Congratulations 🎉🎉🎉
Artificial Intelligence | Bioinformatics | Data Science in Oncology | ctDNA | AI-based Drug Discovery | sn/scRNA-seq Analysis | Spatial Transcriptomics | Digital Pathology | NLP
1moCongratulations 🎉